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Ali A, Salah A, Bekhit M, Fathalla A. Divide-and-train: A new approach to improve the predictive tasks of bike-sharing systems. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2024; 21:6471-6492. [PMID: 39176404 DOI: 10.3934/mbe.2024282] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/24/2024]
Abstract
Bike-sharing systems (BSSs) have become commonplace in most cities worldwide as an important part of many smart cities. These systems generate a continuous amount of large data volumes. The effectiveness of these BSS systems depends on making decisions at the proper time. Thus, there is a vital need to build predictive models on the BSS data for the sake of improving the process of decision-making. The overwhelming majority of BSS users register before utilizing the service. Thus, several BSSs have prior knowledge of the user's data, such as age, gender, and other relevant details. Several machine learning and deep learning models, for instance, are used to predict urban flows, trip duration, and other factors. The standard practice for these models is to train on the entire dataset to build a predictive model, whereas the biking patterns of various users are intuitively distinct. For instance, the user's age influences the duration of a trip. This endeavor was motivated by the existence of distinct user patterns. In this work, we proposed divide-and-train, a new method for training predictive models on station-based BSS datasets by dividing the original datasets on the values of a given dataset attribute. Then, the proposed method was validated on different machine learning and deep learning models. All employed models were trained on both the complete and split datasets. The enhancements made to the evaluation metric were then reported. Results demonstrated that the proposed method outperformed the conventional training approach. Specifically, the root mean squared error (RMSE) and mean absolute error (MAE) metrics have shown improvements in both trip duration and distance prediction, with an average accuracy of 85% across the divided sub-datasets for the best performing model, i.e., random forest.
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Affiliation(s)
- Ahmed Ali
- Department of Computer Science, College of Computer Engineering and Sciences, Prince Sattam Bin Abdulaziz University, Al-Kharj, Saudi Arabia
- Higher Future Institute for Specialized Technological Studies, Cairo 3044, Egypt
| | - Ahmad Salah
- College of Computing and Information Sciences, University of Technology and Applied Sciences, Ibri, Ad-Dhahirah, Sultanate of Oman
- Zagazig University Department of Computer Science, Faculty of Computers and Informatics, Zagazig, Sharkeya, Egypt
| | - Mahmoud Bekhit
- Peter Faber Business School, Australian Catholic University (ACU), Sydney, Australia
- Kaplan Business School, Sydney, Australia
| | - Ahmed Fathalla
- Department of Mathematics, Faculty of Science, Suez Canal University, Ismailia, Egypt
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Rajagopalan S, Ramaswami A, Bhatnagar A, Brook RD, Fenton M, Gardner C, Neff R, Russell AG, Seto KC, Whitsel LP. Toward Heart-Healthy and Sustainable Cities: A Policy Statement From the American Heart Association. Circulation 2024; 149:e1067-e1089. [PMID: 38436070 DOI: 10.1161/cir.0000000000001217] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
Nearly 56% of the global population lives in cities, with this number expected to increase to 6.6 billion or >70% of the world's population by 2050. Given that cardiometabolic diseases are the leading causes of morbidity and mortality in people living in urban areas, transforming cities and urban provisioning systems (or urban systems) toward health, equity, and economic productivity can enable the dual attainment of climate and health goals. Seven urban provisioning systems that provide food, energy, mobility-connectivity, housing, green infrastructure, water management, and waste management lie at the core of human health, well-being, and sustainability. These provisioning systems transcend city boundaries (eg, demand for food, water, or energy is met by transboundary supply); thus, transforming the entire system is a larger construct than local urban environments. Poorly designed urban provisioning systems are starkly evident worldwide, resulting in unprecedented exposures to adverse cardiometabolic risk factors, including limited physical activity, lack of access to heart-healthy diets, and reduced access to greenery and beneficial social interactions. Transforming urban systems with a cardiometabolic health-first approach could be accomplished through integrated spatial planning, along with addressing current gaps in key urban provisioning systems. Such an approach will help mitigate undesirable environmental exposures and improve cardiovascular and metabolic health while improving planetary health. The purposes of this American Heart Association policy statement are to present a conceptual framework, summarize the evidence base, and outline policy principles for transforming key urban provisioning systems to heart-health and sustainability outcomes.
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Velázquez-Cortés D, Nieuwenhuijsen MJ, Jerrett M, Rojas-Rueda D. Health benefits of Open Streets programmes in Latin America: a quantitative health impact assessment. Lancet Planet Health 2023; 7:e590-e599. [PMID: 37438000 DOI: 10.1016/s2542-5196(23)00109-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2021] [Revised: 05/15/2023] [Accepted: 05/17/2023] [Indexed: 07/14/2023]
Abstract
BACKGROUND To improve physical activity in Latin American cities, several interventions have been promoted, such as Open Streets programmes. Our study aims to quantify the health and economic effects of Open Streets-related physical activity in 15 Latin American cities. METHODS We used a quantitative health impact assessment approach to estimate annual premature deaths and disease incidence (ischaemic heart disease, ischaemic stroke, type 2 diabetes, colon cancer, breast cancer, and dementia) avoided, the disability-adjusted life-years (DALYs) gained, and the cost saving (from reduced premature mortality) related to increased physical activity from Open Streets programmes in 15 Latin American cities. Input data were obtained from scientific publications, reports, and open street city surveys spanning 2017 to 2019. Physical activity data were converted to metabolic equivalent of the task. Exposure-response relationship functions were applied to estimate relative risk and population-attributable fraction, enabling the assessment of premature deaths and disease incidence. FINDINGS The percentage of male users of the Open Streets programmes ranged from 55% (27 500 of 50 000 in Guatemala) to 75% (2250 of 3000 in El Alto, Bolivia), and female users ranged from 25% (750; El Alto) to 45% (22 500; Guatemala). We estimated that the current Open Streets programmes in the 15 Latin American cities studied could prevent 363 (95% CI 271-494) annual premature deaths due to increased physical activity, with an annual economic impact of US$194·1 million (144·9 million-263·9 million) saved and an annual reduction of 1036·7 DALYs (346·7-1778·3). If one Open Streets event is added per week in each of those cities, the potential benefit could increase to 496 (370 to 677) premature deaths prevented each year. INTERPRETATION Open Streets programmes in Latin America can provide health and economic benefits related to increased physical activity and can be used as a health promotion and disease prevention tool. FUNDING EU's Horizon 2020 research and innovation programme.
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Affiliation(s)
- Daniel Velázquez-Cortés
- Center for Nutrition and Health Research, Department of Physical Activity and Healthy Lifestyles, National Institute of Public Health, Mexico City, Mexico; ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain
| | - Mark J Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology, Barcelona, Spain; Municipal Institute of Medical Research, IMIM-Hospital del Mar, Barcelona, Spain; Universitat Pompeu Fabra, Barcelona, Spain; CIBER Epidemiología y Salud Pública, Madrid, Spain
| | - Michael Jerrett
- Department of Environmental Health Sciences, Fielding School of Public Health, University of California, Los Angeles, CA, USA
| | - David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO, USA; Colorado School of Public Health, Colorado State University, Fort Collins, CO, USA.
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Kim K. Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul. TRANSPORTATION 2023:1-35. [PMID: 36846545 PMCID: PMC9942648 DOI: 10.1007/s11116-023-10371-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Accepted: 12/18/2022] [Indexed: 06/18/2023]
Abstract
Determining bike-sharing usage patterns and their explanatory factors on demand is essential for the effective and efficient operation of bike-sharing systems (BSSs). Most BSSs provide different passes that vary with the period of use. However, studies investigating the differences in usage patterns are rare compared to studies conducted at the system level, even though explanatory factors depending on the type of pass may cause different characteristics in terms of usage patterns. This study explores the differences in the usage patterns of BSSs and the impact of explanatory factors on the demand depending on the type of pass. Various machine learning techniques, including clustering, regression, and classification, are used, in addition to basic statistical analysis. As observed, long-term season passes of over six months are mainly used for transportation (especially commuting), whereas one-day or short-term season passes seem to be used more for leisure than for other purposes. Furthermore, differences in the purpose of bike rentals seem to cause differences in usage patterns and variations in demand over time and space. This study improves ther understanding of the usage patterns that appear differently for each pass type, and provides insights into the efficient operation of BSSs in urban areas. Supplementary Information The online version contains supplementary material available at 10.1007/s11116-023-10371-7.
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Affiliation(s)
- Kyoungok Kim
- Information Technology Management Programme, International Fusion School, Seoul National University of Science and Technology (SeoulTech), 232 Gongreungno, Nowon-gu, Seoul, Republic of Korea
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Zhu Z, Lu C. Life cycle assessment of shared electric bicycle on greenhouse gas emissions in China. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 860:160546. [PMID: 36455739 DOI: 10.1016/j.scitotenv.2022.160546] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Revised: 10/30/2022] [Accepted: 11/24/2022] [Indexed: 06/17/2023]
Abstract
Following the bike-sharing system, the shared electric bicycle (SEB) is experiencing explosive growth in China as an emerging shared transportation mode. While shared transportation has long been linked to energy conservation and reducing emissions, a major problem facing SEB is whether it can reach the goal of greenhouse gas (GHG) reduction. This paper aims to evaluate GHG emissions at each stage of production, operation, and disposal of the SEB using life cycle assessment of GHG emissions. We also compared the differences in GHG emissions between the recycling incineration scenario (H1) and the recycling degradation scenario (H2) in the disposal stage. The GHG emissions of SEB in the production and operation stages were found to be 379.6173 kg CO2-eq and 183.4663 kg CO2-eq, respectively. However, the GHG emission reduction in the use stage was 1049.8374 kg CO2-eq. Thus, the net GHG reduction in the life cycle of the SEB was 487.3923 kg CO2-eq. (H1) and 433.9215 kg CO2-eq. (H2), respectively, indicating that SEB had a green effect. Non-recyclable parts of SEB will take 48 years to degrade in landfills in the H2 scenario. The GHG emission thresholds for SEB were further discussed. When the average daily turnover rate of SEB was less than 4 and its operation day was less than 479, SEB would not be able to achieve the goal of GHG reduction in the whole life cycle, with the riding statistics remaining unchanged. Finally, some advice for practical issues of electric bicycle sharing in energy conservation and GHG reduction were presented in response to the results.
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Affiliation(s)
- Zhen Zhu
- School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China
| | - Chuntian Lu
- School of Humanities and Social Sciences, Xi'an Jiaotong University, Xi'an, China.
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Tracking stolen bikes in Amsterdam. PLoS One 2023; 18:e0279906. [PMID: 36791064 PMCID: PMC9931151 DOI: 10.1371/journal.pone.0279906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Accepted: 12/18/2022] [Indexed: 02/16/2023] Open
Abstract
Crime has major influences in urban life, from migration and mobility patterns, to housing prices and neighborhood liveability. However, urban crime studies still largely rely on static data reported by the various institutions and organizations dedicated to urban safety. In this paper, we demonstrate how the use of digital technologies enables the fine-grained analysis of specific crimes over time and space. This paper leverages the rise of ubiquitous sensing to investigate the issue of bike theft in Amsterdam-a city with a dominant cycling culture, where reportedly more than 80,000 bikes are stolen every year. We use active location tracking to unveil where stolen bikes travel to and what their temporal patterns are. This is the first study using tracking technologies to focus on two critical aspects of contemporary cities: active mobility and urban crime.
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Fernández-Aguilar C, Brosed-Lázaro M, Carmona-Derqui D. Effectiveness of Mobility and Urban Sustainability Measures in Improving Citizen Health: A Scoping Review. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2023; 20:2649. [PMID: 36768015 PMCID: PMC9916201 DOI: 10.3390/ijerph20032649] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 06/18/2023]
Abstract
BACKGROUND The relationship between mobility and health has multiple dimensions, and the mobility model can be considered a public health intervention. Increasingly, mobility in cities is oriented towards incorporating sustainability criteria; however, there are many very diverse measures that cities carry out in terms of mobility and urban sustainability, and in many cases, these do not receive subsequent evaluation and/or study to analyse their effectiveness or impact. Currently, the literature does not offer any updated review of the measures applied in the different communities and countries. AIM To carry out a panoramic review of the measures implemented in the last 5 years to analyse which ones report a greater effectiveness and efficiency in health. RESULTS After applying the exclusion criteria of the study, a total of 16 articles were obtained for evaluation. The measures applied in terms of sustainability are grouped into four subgroups and their subsequent evaluation and possible impact on public health is analysed. CONCLUSIONS The present study found a large heterogeneous variety of sustainability measures in local settings around the world, which seem to reflect positive impacts on population health. However, subsequent evaluation of these measures is inconclusive in most cases. Further research and sharing across macro-communities are needed to establish universal criteria.
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Affiliation(s)
- Carmen Fernández-Aguilar
- Faculty of Economic Sciences, International University of Isabel I of Castilla, 09003 Burgos, Spain
| | - Marta Brosed-Lázaro
- Faculty of Economic Sciences, International University of Isabel I of Castilla, 09003 Burgos, Spain
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Rojas C, Linfati R, Scherer RF, Pradenas L. Using Geopandas for locating virtual stations in a free-floating bike sharing system. Heliyon 2023; 9:e12749. [PMID: 36685435 PMCID: PMC9849969 DOI: 10.1016/j.heliyon.2022.e12749] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Revised: 12/27/2022] [Accepted: 12/27/2022] [Indexed: 01/05/2023] Open
Abstract
Free-floating bike-sharing systems can have a positive influence on the mobility of urban centers and developing efficient localization strategies is crucial to avoid crowding at peak times and increase service availability. Our study aims to efficiently resolve the location of virtual bike stations in a Latin American city through a geospatial data wrangling methodology that allows us to respond opportunely to the potential demand forecasted for the city. This approach is implemented in Python, and it uses the Geopandas and LocalSolver libraries to determine locations for the virtual bike stations that maximize the system coverage. The decision-making process is supported by a binary integer mathematical programming model, and the instances are built from intercity travel surveys that provide realistic data based on travel demand. The developed decision support system prototype provides a recommendation about where virtual bike stations should be located during peak hours and improve general availability by more than 37%. Moreover, when the system's users participate in the relocation of bicycles, the model can eliminate up to 80% of the CO2 emissions and nearly 50% of the operational costs associated with the relocation process.
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Affiliation(s)
- Claudio Rojas
- Departamento de Ingeniería Industrial, Universidad de Concepción, Edmundo Larenas 215, 4070043, Concepción, Chile
| | - Rodrigo Linfati
- Departamento de Ingeniería Industrial, Universidad del Bío-Bío, Av. Collao 1202, Concepción, Chile
| | - Robert F. Scherer
- Neidorff School of Business, Trinity University, One Trinity Place, San Antonio, TX 78212-7200, USA
| | - Lorena Pradenas
- Departamento de Ingeniería Industrial, Universidad de Concepción, Edmundo Larenas 215, 4070043, Concepción, Chile
- Instituto de Sistemas Complejos de Ingeniería (ISCI), Chile
- Corresponding author.
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Kelley N, Tucker NJ, Mauffrey C, Parry JA. Pelvic ring injuries after road and mountain bike accidents. EUROPEAN JOURNAL OF ORTHOPAEDIC SURGERY & TRAUMATOLOGY : ORTHOPEDIE TRAUMATOLOGIE 2022:10.1007/s00590-022-03374-0. [PMID: 36029341 DOI: 10.1007/s00590-022-03374-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/10/2022] [Accepted: 08/18/2022] [Indexed: 06/15/2023]
Abstract
PURPOSE The purpose of this study was to compare patients with traumatic pelvic ring injuries sustained in road and mountain bicycling accidents to evaluate for differences in injury types and hospital courses. METHODS A retrospective review of 60 patients presenting with pelvic ring injuries after road (n = 46) and mountain (n = 14) bicycling accidents was performed to compare patient/injury characteristics and hospital course. RESULTS LC1 injuries were the most common pelvic ring injury (n = 31, 51.7%), 38.7% (n = 12) of which were considered unstable, followed by isolated iliac wing (n = 11, 18.3%), pubic rami (n = 6, 10.0%), and sacral fractures (n = 6, 10.0%). Hospital admission was required for 41 (68.3%) patients. The median hospital LOS was 4 days (IQR 2-9) and 12 (20%) patients received operative treatment. Patients in road versus mountain bicycling accidents were more likely to be older tobacco users and were similar in sex, body mass index, and injury severity score. Road bicycling resulted in more LC1 injuries (58.7% vs 28.6%, p = 0.04), while mountain bicycling resulted in more iliac wing fractures (42.9% vs. 10.9%, p = 0.01). Road cycling injuries required more days in the hospital to clear PT (median difference 2, CI 0-4, p = 0.04) and had longer hospital stays (median difference 2, CI 0-6, p = 0.02) but had no difference in the rate of admission, operative intervention, or discharge to rehabilitation facilities. CONCLUSION The majority of pelvic ring injuries from road and mountain bicycling accidents were LC1 injuries that were frequently unstable and often required hospital admission and operative fixation.
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Affiliation(s)
- Naomi Kelley
- University of Colorado School of Medicine, Aurora, CO, USA.
| | - Nicholas J Tucker
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Orthopaedics, Denver Health Medical Center, Denver, CO, USA
| | - Cyril Mauffrey
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Orthopaedics, Denver Health Medical Center, Denver, CO, USA
| | - Joshua A Parry
- University of Colorado School of Medicine, Aurora, CO, USA
- Department of Orthopaedics, Denver Health Medical Center, Denver, CO, USA
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Sangveraphunsiri T, Fukushige T, Jongwiriyanurak N, Tanaksaranond G, Jarumaneeroj P. Impacts of the COVID-19 pandemic on the spatio-temporal characteristics of a bicycle-sharing system: A case study of Pun Pun, Bangkok, Thailand. PLoS One 2022; 17:e0272537. [PMID: 35925948 PMCID: PMC9352110 DOI: 10.1371/journal.pone.0272537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2022] [Accepted: 07/20/2022] [Indexed: 11/30/2022] Open
Abstract
The COVID-19 pandemic is found to be one of the external stimuli that greatly affects mobility of people, leading to a shift of transportation modes towards private individual ones. To properly explain the change in people's transport behavior, especially in pre- and post- pandemic periods, a tensor-based framework is herein proposed and applied to Pun Pun-the only public bicycle-sharing system in Bangkok, Thailand-where multidimensional trip data of Pun Pun are decomposed into four different modes related to their spatial and temporal dimensions by a non-negative Tucker decomposition approach. According to our computational results, the first pandemic wave has a sizable influence not only on Pun Pun but also on other modes of transportation. Nonetheless, Pun Pun is relatively more resilient, as it recovers more quickly than other public transportation modes. In terms of trip patterns, we find that, prior to the pandemic, trips made during weekdays are dominated by business trips with two peak periods (morning and evening peaks), while those made during weekends are more related to leisure activities as they involve stations nearby a public park. However, after the first pandemic wave ends, the patterns of weekday trips have been drastically changed, as the number of business trips sharply drops, while that of educational trips connecting metro/subway stations with a major educational institute in the region significantly rises. These findings may be regarded as a reflection of the ever-changing transport behavior of people seeking a sustainable mode of private transport, with a more positive outlook on the use of bicycle-sharing system in Bangkok, Thailand.
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Affiliation(s)
- Tawit Sangveraphunsiri
- Faculty of Engineering, Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Tatsuya Fukushige
- Institute of Transportation Studies, University of California, Davis, California, United States of America
| | - Natchapon Jongwiriyanurak
- SpaceTimeLab, Department of Civil, Environmental and Geomatic Engineering, University College London, London, United Kingdom
| | - Garavig Tanaksaranond
- Faculty of Engineering, Department of Survey Engineering, Chulalongkorn University, Bangkok, Thailand
| | - Pisit Jarumaneeroj
- Faculty of Engineering, Department of Industrial Engineering, Chulalongkorn University, Bangkok, Thailand
- Regional Centre for Manufacturing Systems Engineering, Chulalongkorn University, Bangkok, Thailand
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Benavides J, Rowland ST, Shearston JA, Nunez Y, Jack DW, Kioumourtzoglou MA. Methods for Evaluating Environmental Health Impacts at Different Stages of the Policy Process in Cities. Curr Environ Health Rep 2022; 9:183-195. [PMID: 35389203 PMCID: PMC8986968 DOI: 10.1007/s40572-022-00349-5] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/11/2022] [Indexed: 11/16/2022]
Abstract
PURPOSE OF REVIEW Evaluating the environmental health impacts of urban policies is critical for developing and implementing policies that lead to more healthy and equitable cities. This article aims to (1) identify research questions commonly used when evaluating the health impacts of urban policies at different stages of the policy process, (2) describe commonly used methods, and (3) discuss challenges, opportunities, and future directions. RECENT FINDINGS In the diagnosis and design stages of the policy process, research questions aim to characterize environmental problems affecting human health and to estimate the potential impacts of new policies. Simulation methods using existing exposure-response information to estimate health impacts predominate at these stages of the policy process. In subsequent stages, e.g., during implementation, research questions aim to understand the actual policy impacts. Simulation methods or observational methods, which rely on experimental data gathered in the study area to assess the effectiveness of the policy, can be applied at these stages. Increasingly, novel techniques fuse both simulation and observational methods to enhance the robustness of impact evaluations assessing implemented policies. The policy process consists of interdependent stages, from inception to end, but most reviewed studies focus on single stages, neglecting the continuity of the policy life cycle. Studies assessing the health impacts of policies using a multi-stage approach are lacking. Most studies investigate intended impacts of policies; focusing also on unintended impacts may provide a more comprehensive evaluation of policies.
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Affiliation(s)
- Jaime Benavides
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA.
| | - Sebastian T Rowland
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA
| | - Jenni A Shearston
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA
| | - Yanelli Nunez
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA
| | - Darby W Jack
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA
| | - Marianthi-Anna Kioumourtzoglou
- Department of Environmental Health Sciences, Mailman School of Public Health, Columbia University, 722 West 168th Street, New York, NY, 10032, USA
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Healthy Behavior and Environmental Behavior Correlate with Bicycle Commuting. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19063318. [PMID: 35329017 PMCID: PMC8950174 DOI: 10.3390/ijerph19063318] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/10/2022] [Revised: 03/08/2022] [Accepted: 03/09/2022] [Indexed: 12/04/2022]
Abstract
Previous studies have identified that environmental awareness correlates with the choice of bicycle travel. However, few studies have considered the relationships with different types of healthy behaviors and environmental behaviors. This study examined the relationships between several healthy and environmental behaviors and the choice of bicycle commute using survey data. A total of 803 residents participated in this questionnaire survey. Using factor analysis, we constructed latent factors of healthy behaviors and environmental behaviors. Using a binary logistic regression model, we examined the relationship between latent factors and cycling usage, controlling for demographic characteristics. Factor analysis revealed three latent factors of healthy behaviors: “healthy diet”, “avoiding tobacco or overdrinking”, and “physical activity”. The latent factors of environmental behaviors were as follows: “household behavior” and “purchasing behavior”. The results showed that “avoiding tobacco or overdrinking”, “physical activity” and “purchasing behavior” correlated positively with bicycle commuting. Differences were also observed in relation to demographic characteristics.
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Bike-Sharing Adoption in Cross-National Contexts: An Empirical Research on the Factors Affecting Users’ Intentions. SUSTAINABILITY 2022. [DOI: 10.3390/su14063208] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
Due to the need to promote a larger scale of low-carbon commuting, it is important to identify the influencing factors of the users’ intentions in the adoption of sharing bikes. For studying bike-sharing adoption in cross-national contexts, this research establishes a new model. By conducting multi-group structural equation modeling (SEM), the influencing factors of the adoption in China and Estonia are identified, respectively. Meanwhile, the moderation effects of the national context on several influencing factors are confirmed, and this result indicates that the contexts for bike-sharing adoption are different in the two countries. Two factors have also been found, namely the availability of infrastructure and the beneficial cost, for which policy interventions could have a significant impact in China but not in Estonia. Thus, more active policy interventions might lead to a higher level of adoption intention for the Chinese. This finding provides the implication that implementing policy interventions could be critical for accelerating the adoption of bike sharing and promoting low-carbon commuting.
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Li Z, Shang Y, Zhao G, Yang M. Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19042323. [PMID: 35206509 PMCID: PMC8877844 DOI: 10.3390/ijerph19042323] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Revised: 02/06/2022] [Accepted: 02/15/2022] [Indexed: 11/16/2022]
Abstract
Dockless bike-sharing systems have become one of the important transport methods for urban residents as they can effectively expand the metro’s service area. We applied the ordinary least square (OLS) model, the geographically weighted regression (GWR) model and the multiscale geographically weighted regression (MGWR) model to capture the spatial relationship between the urban built environment and the usage of bike-sharing connected to the metro. A case study in Beijing, China, was conducted. The empirical result demonstrates that the MGWR model can explain the varieties of spatial relationship more precisely than the OLS model and the GWR model. The result also shows that, among the proposed built environment factors, the integrated usage of bike-sharing and metro is mainly affected by the distance to central business district (CBD), the Hotels-Residences points of interest (POI) density, and the road density. It is noteworthy that the effect of population density on dockless bike-sharing usage is only significant at weekends. In addition, the effects of the built environment variables on dockless bike-sharing usage also vary across space. A common feature is that most of the built environment factors have a more obvious impact on the metro-oriented dockless bike-sharing usage in the eastern part of the study area. This finding can provide support for governments and urban planners to efficiently develop a bike-sharing-friendly built environment that promotes the integration of bike-sharing and metro.
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Affiliation(s)
- Zhitao Li
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; (Z.L.); (Y.S.); (M.Y.)
| | - Yuzhen Shang
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; (Z.L.); (Y.S.); (M.Y.)
| | - Guanwei Zhao
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; (Z.L.); (Y.S.); (M.Y.)
- Institute of Land Resources and Coastal Zone, Guangzhou University, Guangzhou 510006, China
- Correspondence:
| | - Muzhuang Yang
- School of Geography and Remote Sensing, Guangzhou University, Guangzhou 510006, China; (Z.L.); (Y.S.); (M.Y.)
- Institute of Land Resources and Coastal Zone, Guangzhou University, Guangzhou 510006, China
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Examining the Influence of Moral Norms on Dockless Shared Bicycle Users’ Parking Behavior—An Exploratory Study Based on the Theory of Planned Behavior. SYSTEMS 2022. [DOI: 10.3390/systems10010011] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/10/2022]
Abstract
The disorderly parking of dockless shared bicycles (DBS) has brought about great challenges to the use and management of shared bicycles. Although previous research related to the DBS industry has covered many patterns, the psychological mechanisms underlying users’ behavior remain unclear. This study proposed an extended TPB model and recruited 334 participants from diverse professions and geographic locations in China to examine the influence of internal and external factors on users’ orderly parking behavior. It was shown that personal moral norms have a significant direct influence on users’ attitudes toward orderly parking and thus influence the behavioral intention of orderly parking. Users’ perception of parking facilities has significant influence on users’ perceived behavior control and intention of orderly parking. This study indicates that cultivation of users’ moral obligation can help improve users’ intention of orderly parking. Furthermore, governments and DBS companies should work together to provide sufficient parking facilities to DBS users.
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External Environmental Analysis for Sustainable Bike-Sharing System Development. ENERGIES 2022. [DOI: 10.3390/en15030791] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
The paper introduces a discussion regarding the development of a public bike-sharing system, considering random factors, based on selected external environmental analysis methods. The global energy crisis is forcing scientists to continuously improve energy-efficient sustainable methods and scientific solutions. It is particularly important in transportation since transport activities and the constant increase in the number of vehicles have a large share in global energy consumption. The following study investigates the social, technological, economic, environmental, and political aspects of bike-sharing systems in cities. The research purpose of the article is to select the most important macro-environmental factors and their mutual interaction influencing the sustainable development of bike-sharing systems based on the Polish cities case study. The evaluation was carried out through expert methods with STEEP environmental analysis, evaluation of factors with the weighted score, and structural analysis method with MICMAC computer application. The classification of key factors influencing the development of a bike-sharing system has divided them into five groups. It can support public transport service providers and organizers. This can optimize the planning process with decision-making based on future environmental trends.
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Egiguren J, Nieuwenhuijsen M, Rojas-Rueda D. Premature Mortality of 2050 High Bike Use Scenarios in 17 Countries. ENVIRONMENTAL HEALTH PERSPECTIVES 2021; 129:127002. [PMID: 34851171 PMCID: PMC8634902 DOI: 10.1289/ehp9073] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/02/2021] [Revised: 10/07/2021] [Accepted: 10/27/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Biking plays a significant role in urban mobility and has been suggested as a tool to promote public health. A recent study has proposed 2050 global biking scenarios based on large shifts from motorized vehicles to bikes. No previous studies have estimated the health impacts of global cycling scenarios, either future car-bike shift substitutions. OBJECTIVES We aimed to quantify changes in premature mortality of 2050 global biking scenarios in urban populations from 17 countries. METHODS Through a quantitative Health Impact Assessment, the mortality risks and benefits of replacing car trips by bike (mechanica bike and electric bike) in urban populations from 17 countries were estimated. Multiple bike scenarios were created based on current transport trends or large shifts from car trips to bike trips. We quantified the estimated change in the number of premature deaths (reduced or increased) concerning road traffic fatalities, air pollution, and physical activity. This study focuses on urban populations between 20 and 64 y old. RESULTS We found that, among the urban populations (20-64 y old) of 17 countries, 205,424 annual premature deaths could be prevented if high bike-use scenarios are achieved by 2050 (assuming that 100% of bike trips replace car trips). If only 8% of bike trips replace car trips in a more conservative scenario, 18,589 annual premature deaths could be prevented by 2050 in the same population. In all the countries and scenarios, the mortality benefits related to bike use (rather than car use) outweighed the mortality risks. DISCUSSION We found that global biking policies may provide important mortality benefits in 2050. Current and future bike- vs. car-trip policies should be considered key public health interventions for a healthy urban design. https://doi.org/10.1289/EHP9073.
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Affiliation(s)
- Julen Egiguren
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
| | - M.J. Nieuwenhuijsen
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Municipal Institute of Medical Research (IMIM-Hospital del Mar), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - David Rojas-Rueda
- ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, Colorado, USA
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Clockston RLM, Rojas-Rueda D. Health impacts of bike-sharing systems in the U.S. ENVIRONMENTAL RESEARCH 2021; 202:111709. [PMID: 34280419 DOI: 10.1016/j.envres.2021.111709] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 07/12/2021] [Accepted: 07/14/2021] [Indexed: 06/13/2023]
Abstract
BACKGROUND Bike-sharing systems (BSS) are short-term bike rentals that can be borrowed from one location and retired to another at the conclusion of the trip. In 2019, 109,589 BSS trips were made each day in the U.S, and half of those in New York City (NYC). AIM This study aims to quantify the health risks and benefits of BSS in the U.S. and NYC. METHODS This study followed a quantitative health impact assessment approach to estimate the risks and benefits of BSS. Specifically, we quantified the health impacts of physical activity, air pollution, and traffic incidents. We analyzed all the trips made by BSS in the U.S. and NYC. Input data on transport, traffic safety, air quality, and physical activity were collated from public records and scientific publications. We modeled the health impacts on adult users related to mortality, disease incidence, disability-adjusted life years (DALYs), and health economic impacts (related to morbidity and mortality). RESULTS We estimated that in the U.S. BSS trips resulted in an annual reduction of 4.7 premature deaths, 737 DALYs, and 36 million $USD in health economic impacts, mainly derived from the increment in physical activity. In NYC, we estimated an annual reduction of 2 premature deaths, 355 DALYs, and 15 million $USD in health economic impacts. CONCLUSION BSS in the U.S. and NYC provide a health benefit for bicyclists. Improvements in air quality and traffic safety across U.S. cities will maximize the health benefits of BSS.
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Affiliation(s)
- Raeven Lynn M Clockston
- Colorado School of Public Health, Colorado State University, Fort Collins, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, USA
| | - David Rojas-Rueda
- Colorado School of Public Health, Colorado State University, Fort Collins, USA; Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, USA.
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A Systematic Review of Station Location Techniques for Bicycle-Sharing Systems Planning and Operation. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2021. [DOI: 10.3390/ijgi10080554] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Designing or expanding a bicycle-sharing system (BSS) involves addressing the infrastructure’s location of the bicycle stations. Station location is an essential factor for designing and implementing a new system or for its operation. In a complex spatial optimization context, geographic information systems (GIS) can support this decision problem. There are also numerous ways of subdividing the broad spectrum of location-allocation models used in previous studies. However, a station location comprehensive review and systematization with the specific aim of characterizing the state of the art of BSS is missing. The present research aimed to provide a comprehensive systematization for station location problems, criteria, and techniques, seeking to identify the current state of practice. We searched scientific publication databases to collect relevant publications—the final list comprised 24 papers for the literature review. The systematization addresses the two major problems concerning bicycle station location: initial network design and operation improvement (where changes in operating a BSS are implemented). Based on the literature, we propose a set of four main criteria for choosing appropriate places for bike stations (or parking) in a city: “bike network”, “operator”, “user”, and “city infrastructure”. The sub-criteria mentioned in the literature are categorized based on the proposed classification and new sub-criteria are suggested. We also group location modeling techniques into three categories: “mathematical algorithms”, “multi-criteria decision making”, and “GIS”. Combining GIS and multi-criteria decision making (MCDM) has received more attention in recent years to locate bike stations, evaluate their operating performance, and have more accurate and practical results.
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A Data-Driven Based Dynamic Rebalancing Methodology for Bike Sharing Systems. APPLIED SCIENCES-BASEL 2021. [DOI: 10.3390/app11156967] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
Mobility in cities is a fundamental asset and opens several problems in decision making and the creation of new services for citizens. In the last years, transportation sharing systems have been continuously growing. Among these, bike sharing systems became commonly adopted. There exist two different categories of bike sharing systems: station-based systems and free-floating services. In this paper, we concentrate our analyses on station-based systems. Such systems require periodic rebalancing operations to guarantee good quality of service and system usability by moving bicycles from full stations to empty stations. In particular, in this paper, we propose a dynamic bicycle rebalancing methodology based on frequent pattern mining and its implementation. The extracted patterns represent frequent unbalanced situations among nearby stations. They are used to predict upcoming critical statuses and plan the most effective rebalancing operations using an entirely data-driven approach. Experiments performed on real data of the Barcelona bike sharing system show the effectiveness of the proposed approach.
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21
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Assessment of Spatiotemporal Peak Shift of Intra-Urban Transportation Taking a Case in Bangkok, Thailand. SUSTAINABILITY 2021. [DOI: 10.3390/su13126777] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Reducing congestion has been one of the critical targets of transportation policies, particularly in cities in developing countries suffering severe and chronic traffic congestions. Several traditional measures have been in place but seem not very successful. This paper applies the agent-based transportation model MATSim for a transportation analysis in Bangkok to assess the impact of spatiotemporal transportation demand management measures. We collect required data for the simulation from various data sources and apply maximum likelihood estimation with the limited data available. We investigate two demand management scenarios, peak time shift, and decentralization. As a result, we found that these spatiotemporal peak shift measures are effective for road transport to alleviate congestion and reduce travel time. However, the effect of those measures on public transport is not uniform but depends on the users’ circumstances. On average, the simulated results indicate that those measures increase the average travel time and distance. These results suggest that demand management policies require considerations of more detailed conditions to improve usability. The study also confirms that microsimulation can be a tool for transport demand management assessment in developing countries.
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Sommar JN, Johansson C, Lövenheim B, Schantz P, Markstedt A, Strömgren M, Stigson H, Forsberg B. Overall health impacts of a potential increase in cycle commuting in Stockholm, Sweden. Scand J Public Health 2021; 50:552-564. [PMID: 33977822 PMCID: PMC9203661 DOI: 10.1177/14034948211010024] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
AIMS To estimate the overall health impact of transferring commuting trips from car to bicycle. METHODS In this study registry information on the location of home and work for residents in Stockholm County was used to obtain the shortest travel route on a network of bicycle paths and roads. Current modes of travel to work were based on travel survey data. The relation between duration of cycling and distance cycled was established as a basis for selecting the number of individuals that normally would drive a car to work, but have a distance to work that they could bicycle within 30 minutes. The change in traffic flows was estimated by a transport model (LuTrans) and effects on road traffic injuries and fatalities were estimated by using national hospital injury data. Effects on air pollution concentrations were modelled using dispersion models. RESULTS Within the scenario, 111,000 commuters would shift from car to bicycle. On average the increased physical activity reduced the one-year mortality risk by 12% among the additional bicyclists. Including the number of years lost due to morbidity, the total number of disability adjusted life-years gained was 696. The amount of disability adjusted life-years gained in the general population due to reduced air pollution exposure was 471. The number of disability adjusted life-years lost by traffic injuries was 176. Also including air pollution effects among bicyclists, the net benefit was 939 disability adjusted life-years per year. CONCLUSIONS Large health benefits were estimated by transferring commuting by car to bicycle.
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Affiliation(s)
- Johan Nilsson Sommar
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
| | - Christer Johansson
- Department of Environmental Science, Stockholm University, Stockholm, Sweden.,Environment and Health Administration, SLB, Stockholm, Sweden
| | - Boel Lövenheim
- Environment and Health Administration, SLB, Stockholm, Sweden
| | - Peter Schantz
- The Research Unit for Movement, Health and Environment, The Swedish School of Sport and Health Sciences, GIH, Stockholm, Sweden
| | | | | | - Helena Stigson
- Folksam Research, Stockholm, Sweden.,Division of Insurance Medicine, Karolinska Institutet, Stockholm, Sweden
| | - Bertil Forsberg
- Department of Public Health and Clinical Medicine, Umeå University, Umeå, Sweden
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A GIS-Based Methodology for Evaluating the Increase in Multimodal Transport between Bicycle and Rail Transport Systems. A Case Study in Palermo. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2021. [DOI: 10.3390/ijgi10050321] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: In a world where every municipality is pursuing the goals of more sustainable mobility, bicycles play a fundamental role in getting rid of private cars and travelling by an eco-friendly mode of transport. Additionally, private and shared bikes can be used as a feeder transit system, solving the problem of the first- and last-mile trips. Thanks to GIS (Geographic Information System) software, it is possible to evaluate the effectiveness of such a sustainable means of transport in future users’ modal choice. Methods: Running an accessibility analysis of cycling and rail transport services, the potential mobility demand attracted by these services and the possible multimodality between bicycle and rail transport systems can be assessed. Moreover, thanks to a modal choice model calibrated for high school students, it could be verified if students will be really motivated to adopt this solution for their home-to-school trips. Results: The GIS-based analysis showed that almost half of the active population in the study area might potentially abandon the use of their private car in favour of a bike and its combination with public transport systems; furthermore, the percentage of the students of one high school of Palermo, the Einstein High School, sharply increases from 1.5% up to 10.1%, thanks also to the combination with the rail transport service. Conclusions: The GIS-based methodology shows that multimodal transport can be an effective way to pursue a more sustainable mobility in cities and efficiently connect suburbs with low-frequent public transport services to the main public transport nodes.
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Rojas-Rueda D. Health Impacts of Urban Bicycling in Mexico. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2021; 18:ijerph18052300. [PMID: 33652688 PMCID: PMC7967710 DOI: 10.3390/ijerph18052300] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/01/2021] [Revised: 02/12/2021] [Accepted: 02/23/2021] [Indexed: 12/22/2022]
Abstract
Background: Bicycling has been associated with health benefits. Local and national authorities have been promoting bicycling as a tool to improve public health and the environment. Mexico is one of the largest Latin American countries, with high levels of sedentarism and non-communicable diseases. No previous studies have estimated the health impacts of Mexico’s national bicycling scenarios. Aim: Quantify the health impacts of Mexico urban bicycling scenarios. Methodology: Quantitative Health Impact Assessment, estimating health risks and benefits of bicycling scenarios in 51,718,756 adult urban inhabitants in Mexico (between 20 and 64 years old). Five bike scenarios were created based on current bike trends in Mexico. The number of premature deaths (increased or reduced) was estimated in relation to physical activity, road traffic fatalities, and air pollution. Input data were collected from national publicly available data sources from transport, environment, health and population reports, and surveys, in addition to scientific literature. Results: We estimated that nine premature deaths are prevented each year among urban populations in Mexico on the current car-bike substitution and trip levels (1% of bike trips), with an annual health economic benefit of US $1,897,920. If Mexico achieves similar trip levels to those reported in The Netherlands (27% of bike trips), 217 premature deaths could be saved annually, with an economic impact of US $45,760,960. In all bicycling scenarios assessed in Mexico, physical activity’s health benefits outweighed the health risks related to traffic fatalities and air pollution exposure. Conclusion: The study found that bicycling promotion in Mexico would provide important health benefits. The benefits of physical activity outweigh the risk from traffic fatalities and air pollution exposure in bicyclists. At the national level, Mexico could consider using sustainable transport policies as a tool to promote public health. Specifically, the support of active transportation through bicycling and urban design improvements could encourage physical activity and its health co-benefits.
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Affiliation(s)
- David Rojas-Rueda
- Department of Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, CO 80523, USA
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25
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Bikeability and Emerging Phenomena in Cycling: Exploratory Analysis and Review. SUSTAINABILITY 2021. [DOI: 10.3390/su13042394] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
Recent strategies to improve the performance of the cycling mode of transport are based on infrastructural, behavioral, and multimodal measures, which are related to the concept of bikeability. A literature review on “bikeability indexes” was conducted focusing on indicators, using a four-step systematic process. Fourteen studies were included for the final analysis and provided 138 indicators, 17 criteria, and four domains. The exploratory analysis evidenced limited application of indicators related to pollution, scarce use of indicators related to bicycle sharing systems (BSS), absence of indicators related to electric bicycles, lack of indicators related to digital solutions, and the need of a calibration and validation process for bikeability indexes. Considering the changes and opportunities created by emerging innovations (namely BSS and electric bicycles) and the health trade-off related to pollution reduction, this research reveals that the current bikeability indexes do not fully address the real potential of a cycle network, limiting its use as a comprehensive tool for the promotion of sustainable mobility.
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Chen LT, Hsu YW. Socio-Ecological Predictors of Frequent Bike Share Trips: Do Purposes Matter? INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E7640. [PMID: 33092087 PMCID: PMC7589542 DOI: 10.3390/ijerph17207640] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/23/2020] [Revised: 10/09/2020] [Accepted: 10/13/2020] [Indexed: 11/16/2022]
Abstract
Using bike share could increase physical activity and improve health. This study used the social-ecological model to identify predictors of frequent bike share trips for different purposes. Participants residing in the U.S. were recruited via Amazon Mechanical Turk (MTurk). Self-report trip purposes were used to group participants into using bike share for commuting only (n = 260), social/entertainment only (n = 313), exercise only (n = 358), dual or triple-purpose (n = 501), and purposes other than commuting, social/entertainment, and exercise (n = 279). Results showed that at the intrapersonal level, perceived use of bike share to be helpful for increasing physical activity was a significant predictor for all groups, except for the other purpose group. Adjusting outdoor activity based on air quality was a significant predictor for the dual or triple-purpose group. At the interpersonal level, having four or more friends/family using bike share was a significant predictor for the other purpose group. At the community level, distance to the nearest bike share within acceptable range was a significant predictor for social/entertainment and dual or triple-purpose groups. The findings suggest that it is important to consider factors at multiple levels for predicting bike share usage. Moreover, health educators and policy makers should adopt different strategies for promoting bike share usage based on trip purposes.
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Affiliation(s)
- Li-Ting Chen
- Counseling and Educational Psychology, College of Education, University of Nevada, Reno, NV 89557, USA;
| | - Ya-Wen Hsu
- Department of Hospital and Health Care Administration, Chia Nan University of Pharmacy and Science, Tainan 71710, Taiwan
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Public Bike Sharing Programs Under the Prism of Urban Planning Officials: The Case of Santiago de Chile. SUSTAINABILITY 2020. [DOI: 10.3390/su12145720] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background: Public bike-sharing schemes have gained enormous popularity worldwide. However, so far most of the research has focused on issues regarding the functioning of these schemes in cities, with little attention on how these systems are perceived and managed by urban planning authorities, which is the aim of this paper. Methods: The analysis is set in Santiago, a highly segregated city composed of 37 independent districts. Two focus groups with urban planning authorities belonging to districts with and without functioning bike-sharing schemes were conducted. Information was processed using a thematic analysis framework, which permitted to reduce, reorganize, and analyze these testimonial data. Results: The main results show that bike-sharing schemes are perceived as being part of a larger phenomenon related to the city’s socio-economic differences. A series of issues emerged that are related to urban planning authorities limitations in terms of governance and availability of planning instruments and strategies to cope with contrasting realities of the city. It was noted that bike-sharing schemes are helping to improve a neighborhood image, while, at the same time, promoting contemporary and cosmopolitan lifestyles. However, the functioning of bike-sharing schemes also is a reminder of the fragmented and dysfunctional governance of Santiago.
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Nieuwenhuijsen MJ. Urban and transport planning pathways to carbon neutral, liveable and healthy cities; A review of the current evidence. ENVIRONMENT INTERNATIONAL 2020; 140:105661. [PMID: 32307209 DOI: 10.1016/j.envint.2020.105661] [Citation(s) in RCA: 77] [Impact Index Per Article: 19.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 03/11/2020] [Accepted: 03/11/2020] [Indexed: 05/20/2023]
Abstract
INTRODUCTION Half the world population lives in cities and this is likely to increase to 70% over the next 20 years. Suboptimal urban and transport planning has led to e.g. high levels of air pollution and noise, heat island effects and lack of green space and physical activity and thereby an increase in morbidity and premature mortality. How can better urban and transport planning improve public health? METHODS A narrative meta-review around a number of cutting edge and visionary studies and practices on how to improve public health through better urban and transport planning reported in the literature and from meetings over the past few years. RESULTS We describe the latest quantitative evidence of how cities can become healthier through better urban and transport planning. It focuses and provides evidence for important interventions, policies and actions that can improve public health, including the need for land use changes, reduce car dependency and move towards public and active transportation, greening of cities, visioning, citizen involvement, collaboration, leadership and investment and systemic approaches. Health impact assessment studies have recently provided new powerful quantitative evidence on how to make cities healthier and will be used as examples. At the same time these measures make also our cities more sustainable (i.e. carbon neutral) and liveable creating multiple benefits. CONCLUSION Better urban and transport planning can lead to carbon neutral, more liveable and healthier cities, particularly through land use changes, a move from private motorised transportation to public and active transportation and greening of cities.
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Affiliation(s)
- Mark J Nieuwenhuijsen
- ISGlobal, Barcelona, Spain; Universitat Pompeu Fabra (UPF), Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Madrid, Spain; Mary MacKillop Institute for Health Research, Melbourne, Australia.
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Teixeira JF, Lopes M. The link between bike sharing and subway use during the COVID-19 pandemic: The case-study of New York's Citi Bike. TRANSPORTATION RESEARCH INTERDISCIPLINARY PERSPECTIVES 2020; 6:100166. [PMID: 34173457 PMCID: PMC7345406 DOI: 10.1016/j.trip.2020.100166] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/01/2020] [Revised: 06/25/2020] [Accepted: 06/27/2020] [Indexed: 05/03/2023]
Abstract
The full societal impact COVID-19 pandemic is laid bare in urban mobility patterns. This research explored the recently published data on the operation of subway and bike share systems (BSS) during the COVID-19 outbreak in New York city, providing evidence on its impact over urban transport systems, but also on how its different components can work in conjunction. The BSS has proved to be more resilient than the subway system, with a less significant ridership drop (71% vs 90% ridership drop and 50% decrease on the ridership ratio) and an increase on its trips' average duration (from 13 min to 19 min per trip). Moreover, the study found evidence of a modal transfer from some subway users to the bike sharing system. The first effects of the free BSS programs aimed at essential service workers were also evaluated. BSS can improve the resilience of urban transport systems to disruptive events. Overall, this paper offers clues on how bike sharing, and cycling in general, can support the transition to a post-coronavirus society.
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Dynamic thinking and complexity: considerations for health promotion. JOURNAL OF COMPLEXITY IN HEALTH SCIENCES 2020. [DOI: 10.21595/chs.2020.21514] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022] Open
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Kim H. Seasonal Impacts of Particulate Matter Levels on Bike Sharing in Seoul, South Korea. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:E3999. [PMID: 32512892 PMCID: PMC7312978 DOI: 10.3390/ijerph17113999] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/26/2020] [Revised: 05/31/2020] [Accepted: 06/02/2020] [Indexed: 11/28/2022]
Abstract
Bike sharing is increasingly attracting more riders in cities around the world for its benefits regarding the urban environment and public health. The public bike sharing program of Seoul, South Korea, first launched in October 2015, is now widely spread around the city and serves more than 27,000 riders daily. However, concerns are being raised as rising air pollution levels in Seoul, represented by particulate matter (PM) levels, in recent years may negatively discourage citizens from using bike sharing. This study investigates the impact of PM10 and PM2.5 levels on bike sharing use in Seoul and seeks to identify any seasonal differences. A series of negative binomial regression models, which take into account control variables like weather conditions and calendar events, are adopted to empirically measure the impacts. Results show that the PM levels yield statistically significant negative impacts (p < 0.01) on bike sharing use throughout the year. The impacts are particularly stronger in winter and spring, when the PM levels are higher. Findings suggest that PM levels may operate as driving factors for bike sharing use in addition to meteorological conditions like temperature, humidity, and precipitation.
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Affiliation(s)
- Hyungkyoo Kim
- Department of Urban Design and Planning, Hongik University, 94 Wausan-ro, Mapo-gu, Seoul 04066, Korea
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Hulkkonen M, Mielonen T, Prisle NL. The atmospheric impacts of initiatives advancing shifts towards low-emission mobility: A scoping review. THE SCIENCE OF THE TOTAL ENVIRONMENT 2020; 713:136133. [PMID: 32041018 DOI: 10.1016/j.scitotenv.2019.136133] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/06/2019] [Revised: 12/05/2019] [Accepted: 12/13/2019] [Indexed: 06/10/2023]
Abstract
In an urban environment, people's daily traffic choices are reflected in emissions and the resulting local air composition, or air quality. Traffic contributes to the emissions of both carbon dioxide (CO2), affecting climate, and particulate matter (PM), affecting atmospheric chemistry and human health. While the development of city infrastructure is not in the hands of individuals, it is their transport mode choices that constitute traffic. In this scoping review we analyse 108 initiatives from around the world potentially influencing individual travel behaviour and producing changes in the shares of different transport modes (modal shifts). The targets, types and techniques of initiatives are identified. Examples of economic, regulative, structural and persuasive initiatives are included. Special focus is on whether the impacts on CO2 emissions, PM emissions and/or PM concentrations have been quantitatively evaluated, and on the quality and results of the evaluations. We observe that a variety of targets can motivate actions that lead to modal shifts and emission reductions. The results indicate that the level of atmospheric evaluations is low: absolute or relative changes in emissions and/or concentrations had been evaluated for only 31% (N = 34) of the reviewed initiatives, with substantial heterogeneity in quality. Sanctions, such as congestion charge and restrictions, have more likely been evaluated in peer reviewed analyses than incentives. Scientific evaluations of impacts on ambient PM concentrations are especially scarce (N = 4), although Air Quality is the primary target of 13% of actions and secondary target for at least 12%. We discuss the determinants of success and failure, when it comes to different types of initiatives, emission reductions and evaluations. A high-quality evaluation of atmospheric impacts captures the following: correct data about the modal shift (rate and direction), exclusion of external factors affecting the shift and emissions, and possible indirect impacts of the shift.
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Affiliation(s)
- Mira Hulkkonen
- University of Oulu, P.O. Box 8000, FI-90014 Oulu, Finland.
| | - Tero Mielonen
- Kuopio Unit, Finnish Meteorological Institute, P.O. Box 1627, Kuopio FI-70211, Finland
| | - Nønne L Prisle
- University of Oulu, P.O. Box 8000, FI-90014 Oulu, Finland
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Gong W, Yuan F, Feng G, Ma Y, Zhang Y, Ding C, Chen Z, Liu A. Trends in Transportation Modes and Time among Chinese Population from 2002 to 2012. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17030945. [PMID: 32033007 PMCID: PMC7036899 DOI: 10.3390/ijerph17030945] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/10/2019] [Revised: 01/22/2020] [Accepted: 01/31/2020] [Indexed: 11/18/2022]
Abstract
Giving the rising trends in obesity and chronic diseases in China, strategies to increase physical activity are important. Transport-related activity is a substantial source of physical activity and can be easily incorporated into the daily lives. It is a key social factor of health, which can help improve people’s mental and physical health and decrease environmental pollution. However, little is known about recent trends in transportation modes and time in China. Between 2002 and 2010–2012, information about transportation behaviors of Chinese population aged 15 years or older were collected within two Chinese Nutrition and Health Surveys. A stratified multistage cluster sampling method was conducted to select participants. Sociodemographic information, transportation modes, and time were collected during face-to-face interviews. The study included 82,377 (mean age 41.2 years) and 143,075 (mean age 48.7 years) participants in the 2002 and 2010–2012 surveys respectively. The weighted prevalence of active transportation (including walking and cycling) decreased from 83.8% in 2002 to 54.3% in 2010–2012 (p < 0.001). During the same period, the number of participants using public transportation (including taking the bus, subway, or shuttle bus) has doubled (7.5% and 15.7%, respectively, for 2002 and 2010–2012, (p < 0.001)), and the proportion of inactive transportation (including driving or taking a car, motorcycle, taxi, or electric bicycle) more than tripled. Concurrently, the transportation time almost doubled with an increase of 25.9 min over the 10 years (p < 0.001). The prevalence of active transportation increased with age. Participants with higher family income and education reported a lower prevalence of active transportation. Females were more likely to use active transportation (OR (95% CI): 4.41 (4.14–4.70) and 2.50 (2.44–2.57), respectively, for 2002 and 2010–2012, where males were the reference). Before the prevalence of active transportation and physical activity gets lower, there is a need for the public health sector and the transport and land use sector to work together to develop related policies and initiatives with the aim of promoting active transportation and public transportation to increase the levels of physical activity and to decrease the risks of chronic diseases.
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Affiliation(s)
| | | | | | | | | | | | | | - Ailing Liu
- Correspondence: ; Tel.: +86-10-6623-7059
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Challenges Caused by Increased Use of E-Powered Personal Mobility Vehicles in European Cities. SUSTAINABILITY 2019. [DOI: 10.3390/su12010273] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Increased use of e-powered personal mobility vehicles is usually considered to be a positive change, while it is generally agreed that Personal Mobility Vehicles (PMVs) effectively and efficiently reduce the negative environmental impacts of transport and improve quality of life. There has been great technological progress made by all sectors in the field of personal mobility during the last decade. The use of PMVs for micro-mobility have been welcomed by the market, consumers, and governments and thus they are becoming increasingly popular in modern European society. New technology-driven PMVs provide opportunities to their users, but at the same time create problems with street space sharing, road safety, and traffic offenses. This study gives an overview of recent types of PMVs, offers some insights into upcoming changes and challenges, and raises a discussion on themes related to the increased use of e-powered personal transporters.
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Ramirez-Rubio O, Daher C, Fanjul G, Gascon M, Mueller N, Pajín L, Plasencia A, Rojas-Rueda D, Thondoo M, Nieuwenhuijsen MJ. Urban health: an example of a "health in all policies" approach in the context of SDGs implementation. Global Health 2019; 15:87. [PMID: 31856877 PMCID: PMC6924052 DOI: 10.1186/s12992-019-0529-z] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/02/2019] [Accepted: 11/07/2019] [Indexed: 02/07/2023] Open
Abstract
BACKGROUND Cities are an important driving force to implement the Sustainable Development Goals (SDGs) and the New Urban Agenda. The SDGs provide an operational framework to consider urbanization globally, while providing local mechanisms for action and careful attention to closing the gaps in the distribution of health gains. While health and well-being are explicitly addressed in SDG 3, health is also present as a pre condition of SDG 11, that aims at inclusive, safe, resilient and sustainable cities. Health in All Policies (HiAP) is an approach to public policy across sectors that systematically takes into account the health implications of decisions, seeks synergies, and avoids harmful health impacts in order to improve population health and health equity. HiAP is key for local decision-making processes in the context of urban policies to promote public health interventions aimed at achieving SDG targets. HiAPs relies heavily on the use of scientific evidence and evaluation tools, such as health impact assessments (HIAs). HIAs may include city-level quantitative burden of disease, health economic assessments, and citizen and other stakeholders' involvement to inform the integration of health recommendations in urban policies. The Barcelona Institute for Global Health (ISGlobal)'s Urban Planning, Environment and Health Initiative provides an example of a successful model of translating scientific evidence into policy and practice with regards to sustainable and healthy urban development. The experiences collected through ISGlobal's participation implementing HIAs in several cities worldwide as a way to promote HiAP are the basis for this analysis. AIM The aim of this article is threefold: to understand the links between social determinants of health, environmental exposures, behaviour, health outcomes and urban policies within the SDGs, following a HiAP rationale; to review and analyze the key elements of a HiAP approach as an accelerator of the SDGs in the context of urban and transport planning; and to describe lessons learnt from practical implementation of HIAs in cities across Europe, Africa and Latin-America. METHODS We create a comprehensive, urban health related SDGs conceptual framework, by linking already described urban health dimensions to existing SDGs, targets and indicators. We discuss, taking into account the necessary conditions and steps to conduct HiAP, the main barriers and opportunities within the SDGs framework. We conclude by reviewing HIAs in a number of cities worldwide (based on the experiences collected by co-authors of this publication), including city-level quantitative burden of disease and health economic assessments, as practical tools to inform the integration of health recommendations in urban policies. RESULTS A conceptual framework linking SDGs and urban and transportplanning, environmental exposures, behaviour and health outcomes, following a HiAP rationale, is designed. We found at least 38 SDG targets relevant to urban health, corresponding to 15 SDGs, while 4 important aspects contained in our proposed framework were not present in the SDGs (physical activity, noise, quality of life or social capital). Thus, a more comprehensive HiAP vision within the SDGs could be beneficial. Our analysis confirmed that the SDGs framework provides an opportunity to formulate and implement policies with a HiAP approach. Three important aspects are highlighted: 1) the importance of the intersectoral work and health equity as a cross-cutting issue in sustainable development endeavors; 2) policy coherence, health governance, and stakeholders' participation as key issues; and 3) the need for high quality data. HIAs are a practical tool to implement HiAP. Opportunities and barriers related to the political, legal and health governance context, the capacity to inform policies in other sectors, the involvement of different stakeholders, and the availability of quality data are discussed based on our experience. Quantitative assessments can provide powerful data such as: estimates of annual preventable morbidity and disability-adjusted life-years (DALYs) under compliance with international exposure recommendations for physical activity, exposure to air pollution, noise, heat, and access to green spaces; the associated economic impacts in health care costs per year; and the number of preventable premature deaths when improvements in urban and transport planning are implemented. This information has been used to support the design of policies that promote cycling, walking, public, zero and low-emitting modes of transport, and the provision of urban greening or healthy public open spaces in Barcelona (e.g. Urban Mobility, Green Infrastructure and Biodiversity Plans, or the Superblocks's model), the Bus Rapid Transit and Open Streets initiatives in several Latin American cities or targeted SDGs assessments in Morocco. CONCLUSIONS By applying tools such as HIA, HiAP can be implemented to inform and improve transport and urban planning to achieve the 2030 SDG Agenda. Such a framework could be potentially used in cities worldwide, including those of less developed regions or countries. Data availability, taking into account equity issues, strenghtening the communication between experts, decision makers and citizens, and the involvement of all major stakeholders are crucial elements for the HiAP approach to translate knowledge into SDG implementation.
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Affiliation(s)
| | - Carolyn Daher
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
| | - Gonzalo Fanjul
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
| | - Mireia Gascon
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Natalie Mueller
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
| | - Leire Pajín
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
| | - Antoni Plasencia
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Hospital Clínic-Universitat de Barcelona (UB), Barcelona, Spain
| | - David Rojas-Rueda
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
- Environmental and Radiological Health Sciences, Colorado State University, Fort Collins, USA
| | - Meelan Thondoo
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Hospital Clínic-Universitat de Barcelona (UB), Barcelona, Spain
- University of Amsterdam, AISSR, Amsterdam, The Netherlands
| | - Mark J Nieuwenhuijsen
- Barcelona Institute for Global Health, ISGlobal, Barcelona, Spain
- Universitat Pompeu Fabra (UPF), Barcelona, Spain
- CIBER Epidemiología y Salud Pública (CIBERESP), Barcelona, Spain
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Zou ZY, Lei L, Chen QY, Wang YQ, Cai C, Li WQ, Zhang Z, Shao B, Wang Y. Prevalence and dissemination risk of antimicrobial-resistant Enterobacteriaceae from shared bikes in Beijing, China. ENVIRONMENT INTERNATIONAL 2019; 132:105119. [PMID: 31491607 DOI: 10.1016/j.envint.2019.105119] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/21/2019] [Revised: 08/17/2019] [Accepted: 08/22/2019] [Indexed: 06/10/2023]
Abstract
Bike-sharing as a common public transportation has been booming in China in recent years. Previous studies showed that the surfaces of public transport can act as reservoirs of antimicrobial-resistant (AR) bacteria, but AR bacterial contamination of shared bikes has not been investigated. Otherwise, the AR-Enterobacteriaceae is considered as a global health threat for humans. Herein, we aimed to investigate the prevalence of AR Enterobacteriaceae on shared bikes and examine correlations between AR Enterobacteriaceae from shared bikes and public buildings around Metro stations in Beijing. We collected 2117 samples from shared bikes at 240 Metro stations in Beijing. A total of 444 non-duplicate Enterobacteriaceae were isolated from 418 samples at 166 stations. The isolates exhibited low rates of resistance (0.5%-6.3%) to all antimicrobial agents except sulfamethoxazole-trimethoprim (31.5%). Three ceftazidime-resistant E. coli isolates were positive for blaCTX-M-199 and two of them were positive for carbapenemase-producing gene blaNDM-5. Multivariable logistic regression model revealed that variable "secondary/tertiary non-profit hospital nearby" was significantly (p < 0.05) associated with isolation of AR Enterobacteriaceae from the shared bikes around the Metro stations. Low AR rates of Enterobacteriaceae observed in this study suggested the risk of dissemination of AR-Enterobacteriaceae via shared bikes is limited. However, we identified hospitals as a risk factor for the dissemination of AR Enterobacteriaceae among shared bike users. More attention should be paid to both comprehensive hygiene managements in the surrounding environment of hospitals and the increasing of public awareness on the personal hygienic habits.
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Affiliation(s)
- Zhi-Yu Zou
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Lei Lei
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Qi-Yan Chen
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China
| | - Yong-Qiang Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; Microbiology and Immunology Department of Preventive Veterinary Medicine, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Chang Cai
- Research and Innovation Office, Murdoch University, Murdoch, Western Australia 6150, Australia; China Australia Joint Laboratory for Animal Health Big Data Analytics, College of Animal Science and Technology, Zhejiang Agricultural and Forestry University, Hangzhou 311300, China
| | - Wan-Qi Li
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Zan Zhang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Bing Shao
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China; Beijing Key Laboratory of Diagnostic and Traceability Technologies for Food Poisoning, Beijing Center for Disease Prevention and Control, Beijing 100013, China.
| | - Yang Wang
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, College of Veterinary Medicine, China Agricultural University, Beijing 100193, China.
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Ma X, Cao R, Wang J. Effects of Psychological Factors on Modal Shift from Car to Dockless Bike Sharing: A Case Study of Nanjing, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E3420. [PMID: 31540094 PMCID: PMC6765915 DOI: 10.3390/ijerph16183420] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/10/2019] [Revised: 09/09/2019] [Accepted: 09/10/2019] [Indexed: 12/02/2022]
Abstract
The emergence of dockless bike sharing in recent years has reduced the usage of private cars, especially usage for short-distance trips (within 2 km). In this paper, a modified technology acceptance model (TAM) is proposed to investigate from the psychological perspective drivers' willingness to shift to dockless bike sharing. The modified TAM includes the perceived usefulness of dockless bike sharing, perceived ease-of-use of dockless bike sharing, perceived health of dockless bike sharing, attitudes toward dockless bike sharing, and willingness to shift to dockless bike sharing. Data are obtained through offline communications with car drivers. The results show that two-thirds of car drivers are willing to use dockless bike sharing in short-distance trips. Perceived health, perceived ease-of-use, and perceived usefulness have significant positive effects on people's attitudes toward dockless bike sharing. As expected, people's attitudes toward dockless bike sharing are positively correlated with their willingness to shift. Policy implications are discussed to prompt the modal shift from private cars to dockless bike sharing according to the results.
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Affiliation(s)
- Xinwei Ma
- School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing 211189, China.
| | - Ruiming Cao
- Architects & Engineers Co., LTD. of Southeast University, Sipailou 2, Nanjing 210096, China.
| | - Jianbiao Wang
- School of Transportation, Southeast University, Dongnandaxue Road 2, Nanjing 211189, China.
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Dynamic Feedback Analysis of Influencing Factors and Challenges of Dockless Bike-Sharing Sustainability in China. SUSTAINABILITY 2019. [DOI: 10.3390/su11174674] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Dockless bike-sharing programs (DBSPs) are typical representatives of the new era of the internet economy. These schemes alleviate urban traffic congestion, reduce carbon emissions, and change people’s preferred travel modes, but they also suffer from a series of problems related to unsustainability. The sustainability performance of a DBSP is closely related to its influencing factors, which can be used to understand the main challenges of the program and consider what useful measures should be taken to overcome these issues. Therefore, it is essential to investigate the related factors that are critical to the sustainability of DBSPs from a systems-level perspective. In this paper, we explored publicly available data sources (i.e., literature, institutional reports, and announcements) to determine the intrinsic influencing factors and understand their interactions and feedback relationships. A taxonomy of the key challenges with respect to the fundamental pillars of DBSP sustainability (i.e., environment, society, and economy) was provided. System dynamics methodology was employed to map the critical factors and links in order to analyze the key challenges in facilitating the sustainability of DBSPs. Based on this approach, we put forward proposals to mitigate the severe challenges for governments and DBSP operators. The findings provide a theoretical basis and guiding role to develop improvement strategies for DBSP sustainability.
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How to Save Bike-Sharing: An Evidence-Based Survival Toolkit for Policy-Makers and Mobility Providers. SUSTAINABILITY 2019. [DOI: 10.3390/su11113206] [Citation(s) in RCA: 52] [Impact Index Per Article: 10.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
A new mobility ethos is needed for cities looking to overcome the problems that have been accumulated for decades by a transport paradigm that prioritises automobiles over people. Bike-sharing, a measure promoting voluntary travel behaviour change, could be part of a refined toolbox that will help in forging this new ethos. Despite a rapid emergence during the last handful of years, as evidenced by 1956 operational local schemes and approximately 15,254,400 self-service public use bicycles across the world, bike-sharing has been attracting negative attention lately. Tens of schemes have closed down, deemed as financial or operational failures, stigmatising bike-sharing’s brand and putting the future of the concept itself in jeopardy. However, discounting bike-sharing as flawed may not be fair or accurate. This paper identifies a formula of success for bike-sharing operations based on a state-of-the-art case study analysis, which is supported by primary data evidence from two survey-based studies in Sweden and Greece. This paper suggests that residents in cities hosting or looking to host bike-sharing schemes are usually very supportive of them but not always likely to use them. More importantly, this paper delivers some key policy and business lessons that form a survival guide for effectively introducing and running public bicycle schemes. These lessons include, among others, the need for: tailoring the system design and expansion strategy according to the host city needs, city-operator and commercial partner synergies, more bike-friendly infrastructure and legislation, pro-active cultural engagement, anti-abuse measures, enhanced fleet management and realistic profit expectations.
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Is Bicycle Sharing an Environmental Practice? Evidence from a Life Cycle Assessment Based on Behavioral Surveys. SUSTAINABILITY 2019. [DOI: 10.3390/su11061550] [Citation(s) in RCA: 29] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
As an icon of sharing economy and product service systems, bicycle sharing is gaining an increasing global popularity, yet there is little knowledge about the environmental performance of this emerging traveling mode. To seek the answer to the question, the paper employs a survey-based method and a life cycle assessment (LCA) approach. We first conduct a questionnaire-based survey to identify the changes in traveling modes after the introduction of shared bicycles. The survey results show that the use of shared bicycles is more popular among young and low-income populations, and shared bicycles are predominantly used to replace walking and bus-taking. Based on the survey results, we model the environmental impacts of the changed traveling behaviors and the life cycle of shared bicycle with the aid of Gabi software. The LCA results shows that bicycle sharing is currently an environmentally friendly practice, as it brings environmental savings in all the indicators except metal consumption. Further, the results of sensitivity analysis show that aging, rising rental fees, and increasing volume of shared bicycles would impart negative impacts on the environmental performance of bicycle sharing. The findings of this work facilitate the management and development of bicycle sharing.
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A Novel Dynamic Dispatching Method for Bicycle-Sharing System. ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION 2019. [DOI: 10.3390/ijgi8030117] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
With the rapid development of sharing bicycles, unreasonable dispatching methods are likely to cause a series of issues, such as resource waste and traffic congestion in the city. In this paper, a new dynamic scheduling method is proposed, named Tri-G, so as to solve the above problems. First of all, the whole visualization information of bike stations was built based on a Spatio-Temporal Graph (STG), then Gaussian Mixture Mode (GMM) was used to group individual stations into clusters according to their geographical locations and transition patterns, and the Gradient Boosting Regression Tree (GBRT) algorithm was adopted to predict the number of bikes inflow/outflow at each station in real time. This paper used New York’s bicycle commute data to build global STG visualization information to evaluate Tri-G. Finally, it is concluded that Tri-G is superior to the methods in control groups, which can be applied to various geographical scenarios. In addition, this paper also discovered some human mobility patterns as well as some rules, which are helpful for governments to improve urban planning.
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Bicycle Sharing: Sustainable Value Creation and Institutionalisation Strategies in Barcelona. SUSTAINABILITY 2019. [DOI: 10.3390/su11030728] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
A highly debatable issue is whether or not a paradigm shift toward the sharing economy could help to address the economic, social and environmental challenges of our time. This article contributes to the academic discussion by exploring the types of value created by sharing organisations and the strategies they use to institutionalise themselves in relation to powerful institutions. The study applies two analytical frameworks, based on value creation and institutional strategies, to three empirical case studies of bicycle sharing systems (BSS) in Barcelona. Rich data was collected from a variety of primary and secondary sources, including a field visit to Barcelona, interviews with representatives of the three bicycle sharing systems, observations and literature analysis. We found that the environmental value these organisations create is closely interlinked with the social value they produce and that these values outweigh negative impacts of their operations. All case organisations employ regulative, normative and cultural-cognitive strategies for their institutionalisation but are also subject to powerful institutions beyond their individual control. We recommend that entrepreneurs, city officials, the public and other stakeholders engage in collaborative and open development processes to shape the emerging sharing economy alongside the institutional work of sharing organisations.
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Zijlema WL, Avila-Palencia I, Triguero-Mas M, Gidlow C, Maas J, Kruize H, Andrusaityte S, Grazuleviciene R, Nieuwenhuijsen MJ. Active commuting through natural environments is associated with better mental health: Results from the PHENOTYPE project. ENVIRONMENT INTERNATIONAL 2018; 121:721-727. [PMID: 30321847 DOI: 10.1016/j.envint.2018.10.002] [Citation(s) in RCA: 25] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/27/2018] [Revised: 10/01/2018] [Accepted: 10/02/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Commuting routes with natural features could promote walking or cycling for commuting. Commuting through natural environments (NE) could have mental health benefits as exposure to NE can reduce stress and improve mental health, but there is little evidence. This study evaluates the association between NE and commuting, whether active or not, and the association between commuting (through NE), whether active or not, and mental health. We also evaluate the moderating effect of NE quality on the association between NE commuting and mental health. METHODS This cross-sectional study was based on adult respondents (n = 3599) of the Positive Health Effects of the Natural Outdoor Environment in Typical Populations in Different Regions in Europe (PHENOTYPE) project. Data were collected in four European cities in Spain, the Netherlands, Lithuania and the United Kingdom. Data on commuting behavior (active commuting at least one day/week, daily NE commuting) and mental health were collected with questionnaires. Associations were estimated with multilevel analyses including random intercepts at city- and neighborhood level. RESULTS Adjusted multilevel analyses showed that daily NE commuters were more often active commuters (OR 1.42; 95% CI 1.19, 1.70). There was no association between active commuting and mental health, but daily NE commuters had on average a 2.74 (95% CI 1.66, 3.82) point higher mental health score than those not commuting through NE. The association with mental health was stronger among active commuters (4.03, 95% CI 2.13, 5.94) compared to non-active commuters (2.21; 95% CI 0.90, 3.51) when daily commuting through NE, but NE quality did not have a moderating effect. CONCLUSIONS Daily NE commuting was associated with better mental health, especially for active commuters. Daily NE commuters were likely to be active commuters. Active commuting itself was not associated with mental health. These findings suggest that cities should invest in commuting routes with nature for cycling and walking.
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Affiliation(s)
- Wilma L Zijlema
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain.
| | - Ione Avila-Palencia
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain
| | - Margarita Triguero-Mas
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain
| | - Christopher Gidlow
- Centre for Health and Development, Staffordshire University, Leek Road, Stoke-on-Trent ST4 2DF, United Kingdom
| | - Jolanda Maas
- Vrije Universiteit Amsterdam, Department of Clinical Psychology, Van der Boechorstraat 1, 1081 BT Amsterdam, the Netherlands
| | - Hanneke Kruize
- Center for Sustainability, Environment and Health, National Institute for Public Health and the Environment (RIVM), Antonie van Leeuwenhoeklaan 9, 3721 MA Bilthoven, the Netherlands
| | - Sandra Andrusaityte
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio str. 58, 44248 Kaunas, Lithuania
| | - Regina Grazuleviciene
- Department of Environmental Sciences, Vytautas Magnus University, K. Donelaicio str. 58, 44248 Kaunas, Lithuania
| | - Mark J Nieuwenhuijsen
- Barcelona Institute for Global Health (ISGlobal), Doctor Aiguader 88, 08003 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Doctor Aiguader 88, 08003 Barcelona, Spain; CIBER Epidemiología y Salud Pública (CIBERESP), Melchor Fernández Almagro, 3-5, 28029 Madrid, Spain
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Development of a Bike-Sharing System Based on Pedal-Assisted Electric Bicycles for Bogota City. ELECTRONICS 2018. [DOI: 10.3390/electronics7110337] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The lack of sustainable solutions to mobility and transportation is a major problem in Latin American cities and requires prompt solutions. The main issues in Latin America are the high-cost of solutions, no inclusion of renewable energies, poor energy management, the use of foreign systems not adapted to local contexts, ineffective regional legislation and politics, among others. In this paper the main technical issues concerning the implementation of a bike-sharing system using pedaling-assisted (PAS) electric bicycles for Bogota City are discussed and a solution is proposed. To solve such problems, a methodology to design a tailored solution well suited to Bogota citizen’s needs is developed. Such methodology starts with the development of an on-board-computer (OBC) in order to characterize bike-users by collecting a rider’s data in real-time. Furthermore, the proposed solution develops a low-cost middle-drive (mid-drive) propulsion system for the PAS in the electric bike using brushless-DC (BLDC) motors and by implementing a field-oriented controller (FOC). The reported bike-sharing system also includes the development and implementation of two charging-stations that enable charging the battery on the electric bikes exclusively by using photovoltaic energy. Experimental results are presented and discussed.
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