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Patwary MM, Bardhan M, Disha AS, Dzhambov AM, Parkinson C, Browning MHEM, Labib SM, Larson LR, Haque MZ, Rahman MA, Alam MA, Tareq MF, Shuvo FK. Nature exposure and mental health during the COVID-19 pandemic: A Navigation Guide systematic review with meta-analysis. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 356:124284. [PMID: 38821342 DOI: 10.1016/j.envpol.2024.124284] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Revised: 05/28/2024] [Accepted: 05/29/2024] [Indexed: 06/02/2024]
Abstract
Prior reviews have highlighted that nature exposure was a valuable coping strategy enhancing mental health during the COVID-19 pandemic. However, no existing reviews have determined the quality of evidence and risk of bias of the empirical studies supporting this claim. To address this gap, we employed a Navigation Guide systematic review and meta-analysis approach to investigate associations between nature exposure and mental health during the pandemic. Searches in PubMed, Web of Science, Scopus, CINAHL, and PsycInfo retrieved relevant articles published between January 1, 2020, and March 4, 2024. We used the Navigation Guide methodology to assess the risk of bias and Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) assessments to evaluate the overall quality of evidence. Our search retrieved 113 studies that met the inclusion criteria and reported diverse types of exposure, including nature availability, nature visit frequency, green space accessibility, and green space type, alongside associations with 12 mental health outcomes. Meta-analyses found access to gardens was associated with lower odds of depression [(Pooled odds ratio [OR] = 0.71, 95%CI = 0.61, 0.82), I2 = 0%, n = 3] and anxiety [(Pooled OR = 0.73, 95%CI = 0.63, 0.84), I2 = 0%, n = 3]. Increased time in green spaces was associated with lower level of stress [(Pooled Corr = -0.11, 95%CI = -0.17, -0.05), I2 = 0%, n = 2]. Higher frequency of visits to nature was associated with improved mental well-being [(Pooled standardized beta = 0.10, 95%CI = 0.07, 0.14), I2 = 0%, n = 2] and general mental health [(Pooled standardized beta = 0.11, 95%CI = 0.03-0.38), I2 = 82%, n = 2]. However, the number of pooled studies was small and the overall quality of evidence was "very low" for all outcomes, and high levels of bias were observed (26% of studies had high, 71% probably high). Nonetheless, given the trends in the results, nature-based solutions emphasizing exposure to gardens and green spaces near the home may have promoted psychological resilience during this public health crisis.
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Affiliation(s)
- Muhammad Mainuddin Patwary
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh.
| | - Mondira Bardhan
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Department of Parks, Recreation, and Tourism Management, Clemson University, Clemson, SC, USA
| | - Asma Safia Disha
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Department of Environmental Science and Management, North South University, Bashundhara, Dhaka, 1229, Bangladesh
| | - Angel M Dzhambov
- Research Group "Health and Quality of Life in a Green and Sustainable Environment", Strategic Research and Innovation Program for the Development of MU - Plovdiv, Medical University of Plovdiv, Plovdiv, Bulgaria; Environmental Health Division, Research Institute at Medical University of Plovdiv, Medical University of Plovdiv, Plovdiv, Bulgaria; Institute of Highway Engineering and Transport Planning, Graz University of Technology, Graz, Austria
| | - Colby Parkinson
- Department of Recreation, Park, and Tourism Management, Pennsylvania State University, University Park, PA, USA
| | - Matthew H E M Browning
- Department of Parks, Recreation, and Tourism Management, Clemson University, Clemson, SC, USA
| | - S M Labib
- Department of Human Geography and Spatial Planning, Faculty of Geosciences, Utrecht University, Vening Meineszgebouw A, Princetonlaan 8a, 3584 CB, Utrecht, the Netherlands
| | - Lincoln R Larson
- Department of Parks, Recreation & Tourism Management, North Carolina State University, Raleigh, NC, USA
| | - Md Zahidul Haque
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Md Atiqur Rahman
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Environmental Science Discipline, Life Science School, Khulna University, Khulna, Bangladesh
| | - Md Ashraful Alam
- Department of Computational Diagnostic Radiology and Preventive Medicine, The University of Tokyo Hospital, Bunkyo-ku, Tokyo, Japan
| | - Md Faysal Tareq
- Environment and Sustainability Research Initiative, Khulna, Bangladesh; Institute of Environmental Sciences (CML), Leiden University, Netherlands
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Yen MH, Li D, Chiang YC. A systematic review of the relationship between natural environments and physiological and mental health during different stages of the COVID-19 pandemic. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 923:171392. [PMID: 38431171 DOI: 10.1016/j.scitotenv.2024.171392] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 02/28/2024] [Accepted: 02/28/2024] [Indexed: 03/05/2024]
Abstract
COVID-19 has altered how individuals interact with natural environments. Numerous studies have investigated the effects of such environments on health. However, how natural environments influenced individuals' physiological and mental health during various stages of the COVID-19 pandemic remains unclear. Therefore, we conducted this study to investigate the effects of natural environments on individuals' physiological and mental health during different stages of the pandemic; we also identified factors that mediated these effects. Overall, we evaluated the importance of natural environments during challenging times. This study adhered to the Preferred Reporting Items for Systematic Review and Meta-Analysis guidelines. The pandemic period was divided into three stages on the basis of severity: pandemic (March 2020 - February 2022), easing (February 2022-September 2022), and post-acute COVID pandemic (September 2022 - present). An initial pool of 3018 studies was narrowed down to a final sample of 73 studies. During the pandemic stage, individuals frequenting public green spaces exhibited improved well-being, reduced stress levels, and a sense of nature deprivation. Private green spaces played crucial roles in maintaining health during the pandemic stage. Highquality window views were associated with improved well-being and reduced depression. During the easing stage, the environmental quality of public green spaces influenced individuals' perceived safety and sense of belonging. And coastal areas were the preferred natural destinations in this stage. During the post-acute COVID pandemic stage, individuals acknowledged the importance of natural environments in maintaining physiological and mental health as they gradually returned to prepandemic normalcy. In conclusion, the COVID-19 pandemic highlighted humanity's reliance on nature. Therefore, sufficient urban spaces should be dedicated to preservation of natural environments to mitigate negative emotions arising from prolonged indoor stays.
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Affiliation(s)
- Min-Hsuan Yen
- Department of Landscape Architecture, National Chiayi University, Chiayi City, Taiwan, ROC
| | - Dongying Li
- Department of Landscape Architecture & Urban Planning, Texas A&M University, College Station, TX, USA
| | - Yen-Cheng Chiang
- Department of Landscape Architecture, National Chiayi University, Chiayi City, Taiwan, ROC.
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Wang Y, Shi X, Hong H, Chang Q. How does multiscale greenspace exposure affect human health? Evidence from urban parks in the central city of Beijing. JOURNAL OF ENVIRONMENTAL MANAGEMENT 2024; 353:120253. [PMID: 38335596 DOI: 10.1016/j.jenvman.2024.120253] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 01/26/2024] [Accepted: 01/28/2024] [Indexed: 02/12/2024]
Abstract
While the health benefits of exposure to urban greenspace have been widely discussed at different spatial scales, the comprehensive health effects of multiscale greenspace exposure are far from understood. There is a lack of quantified evidence when conducting cost-effective greenspace management practices for promoting human health and well-being. This study proposed a conceptual model that links objective and subjective greenspace exposure metrics at different spatial scales with self-rated health of residents. The model attempted to deconstruct and explore the associations between multiscale greenspace exposure and human health, and a cross-sectional study was conducted to examine the model. Taking urban parks in the central city of Beijing as case study area, the objective greenspace exposure metrics at both the site and subdistrict scales were spatial explicitly assessed, and the subjective exposure metrics and self-rated health status of 1017 respondents were obtained through questionnaire survey and spatial positioning. The results of multiple regression analyses and path analyses suggested that greenspace exposure metrics at both site and subdistrict scales were significantly associated with the respondents' self-rated health status, with the exposure metrics at the site scale being more important than those at the subdistrict scale in affecting human health. The contribution of urban parks to self-rated physical and mental health of respondents varied across spatial scales. Specifically, the aesthetic value of urban parks at site scale contributed the most to mental health by promoting respondents' resting behaviors in urban parks, and the density of urban parks at subdistrict scale had the most significant effects on self-rated physical health by increasing the usage frequency of urban parks. Findings of this study can contribute to understanding the complex associations between urban greenspace and human health from a multiscale perspective, and are also expected to provide quantified information for health-oriented urban greenspace planning and management practices.
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Affiliation(s)
- Yanan Wang
- School of Architecture, Yantai University, Yantai, 264005, China; Department of Landscape Architecture, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Xiaoxiao Shi
- Department of Landscape Architecture, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Hailin Hong
- Department of Landscape Architecture, College of Horticulture, China Agricultural University, Beijing, 100193, China
| | - Qing Chang
- Department of Landscape Architecture, College of Horticulture, China Agricultural University, Beijing, 100193, China.
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Yang Z, Huang J, Kwan MP, Liu D. The interplay among individuals' distress, daily activities, and perceptions of COVID-19 and neighborhood cohesion: A study using network analysis. PLoS One 2024; 19:e0293157. [PMID: 38236893 PMCID: PMC10796027 DOI: 10.1371/journal.pone.0293157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Accepted: 10/05/2023] [Indexed: 01/22/2024] Open
Abstract
The reduction of social interactions through non-pharmaceutical interventions (NPIs) has been shown to effectively curb COVID-19 transmission. However, these control measures were often accompanied by changes in people's daily routines and constraints on their activity space, which could lead to mental distress (i.e., anxiety and depression). This study examined the interplay among individuals' anxiety, depression, daily activities, and perceptions of COVID-19 and neighborhood cohesion. Taking Hong Kong as an example, an online survey (N = 376) was conducted to collect data from participants between March 14 to May 11, 2022. The data include respondents' self-reported anxiety and depressive symptoms, daily activities (e.g., smartphone use), perceptions of COVID-19 (e.g., the possibility of infecting COVID-19), and perceptions of neighborhood cohesion. Using network analysis, we found that excessive smartphone use, life disturbance by COVID-19, and a community with people getting along well with each other were significant factors associated with participants' anxiety and depression. Using critical path analysis, we observed that NPIs reduced human mobility, led to delayed bedtime, and increased smartphone use, which were associated with participants' mental distress. We also found that NPIs and COVID-19 were associated with people's perceptions of infection and the severity of COVID-19 and human mobility flexibility, which may further lead to mental distress. Our results also demonstrated that people with high education levels were vulnerable. These results provided important insights for designing appropriate interventions without generating deleterious impacts on people's mental health in the future.
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Affiliation(s)
- Zhenchuan Yang
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Jianwei Huang
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Mei-Po Kwan
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
- Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, Hong Kong, China
- Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China
| | - Dong Liu
- Institute of Space and Earth Information Science, The Chinese University of Hong Kong, Shatin, Hong Kong, China
- Institute of Future Cities, The Chinese University of Hong Kong, Shatin, Hong Kong, China
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Yang Z, Li J, Li Y, Huang X, Zhang A, Lu Y, Zhao X, Yang X. The impact of urban spatial environment on COVID-19: a case study in Beijing. Front Public Health 2024; 11:1287999. [PMID: 38259769 PMCID: PMC10800729 DOI: 10.3389/fpubh.2023.1287999] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/04/2023] [Accepted: 12/21/2023] [Indexed: 01/24/2024] Open
Abstract
Epidemics are dangerous and difficult to prevent and control, especially in urban areas. Clarifying the correlation between the COVID-19 Outbreak Frequency and the urban spatial environment may help improve cities' ability to respond to such public health emergencies. In this study, we firstly analyzed the spatial distribution characteristics of COVID-19 Outbreak Frequency by correlating the geographic locations of COVID-19 epidemic-affected neighborhoods in the city of Beijing with the time point of onset. Secondly, we created a geographically weighted regression model combining the COVID-19 Outbreak Frequency with the external spatial environmental elements of the city. Thirdly, different grades of epidemic-affected neighborhoods in the study area were classified according to the clustering analysis results. Finally, the correlation between the COVID-19 Outbreak Frequency and the internal spatial environmental elements of different grades of neighborhoods was investigated using a binomial logistic regression model. The study yielded the following results. (i) Epidemic outbreak frequency was evidently correlated with the urban external spatial environment, among building density, volume ratio, density of commercial facilities, density of service facilities, and density of transportation facilities were positively correlated with COVID-19 Outbreak Frequency, while water and greenery coverage was negatively correlated with it. (ii) The correlation between COVID-19 Outbreak Frequency and the internal spatial environmental elements of neighborhoods of different grades differed. House price and the number of households were positively correlated with the COVID-19 Outbreak Frequency in low-end neighborhoods, while the number of households was positively correlated with the COVID-19 Outbreak Frequency in mid-end neighborhoods. In order to achieve spatial justice, society should strive to address the inequality phenomena of income gaps and residential differentiation, and promote fair distribution of spatial environments.
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Affiliation(s)
| | | | - Yu Li
- School of Architecture and Urban Planning, Beijing University of Civil Engineering and Architecture, Beijing, China
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Wang S, Liang C, Gao Y, Ye Y, Qiu J, Tao C, Wang H. Social media insights into spatio-temporal emotional responses to COVID-19 crisis. Health Place 2024; 85:103174. [PMID: 38241850 DOI: 10.1016/j.healthplace.2024.103174] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/07/2023] [Revised: 12/12/2023] [Accepted: 01/07/2024] [Indexed: 01/21/2024]
Abstract
The Coronavirus pandemic has presented multifaceted challenges in urban emotional well-being and mental health management. Our study presents a spatio-temporal sentiment mining (STSM) framework to address these challenges, focusing on the space-time geography and environmental psychology. This framework analyzes the distribution and trends of 6 categories of public sentiments in Shanghai during the COVID-19 crisis, considering the potential urban spatial influencing factors. The research specifically draws on social media data temporally coinciding with the spread of COVID-19 and the pre-trained language model RoBERTa-wwm-ext to classify public sentiment, in order to characterize the distribution and trends of dominant urban sentiment under the influence of epidemic at different phases. The interactions between urban geospatial features and sentiments are further modelled and explained using LightGBM algorithm and SHapley Additive exPlanations (SHAP) technique. The experimental findings reveal the subtle yet dynamic impact of the urban environment on the long-term spatial variation and trends of public sentiment under the epidemic, with green spaces and socio-economic status emerging as significant factors. Regions with higher permanent population consumption demonstrated more positive sentiments, underscoring the significance of socio-economic factors in urban planning and public health policy. This research offers the most extensive analysis to date on the influence of urban characteristics on public sentiment during Shanghai's epidemic life cycle also lays the groundwork for applying the STSM framework in future crises beyond COVID-19.
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Affiliation(s)
- Siqi Wang
- College of Design and Innovation, Tongji University, Shanghai, China; Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China
| | - Chao Liang
- Guangdong Guodi Institute of Resources and Environment, Guangzhou, China
| | - Yunfan Gao
- Shanghai Research Institute for Intelligent Autonomous Systems, Tongji University, Shanghai, China
| | - Yu Ye
- College of Architecture and Urban Planning, Tongji University, Shanghai, China; Key Laboratory of Ecology and Energy-saving Study of Dense Habitat (Tongji University), Ministry of Education, Shanghai, China
| | - Jingyu Qiu
- Wayz AI Technology Company Limited, Shanghai, China
| | - Chuang Tao
- Wayz AI Technology Company Limited, Shanghai, China
| | - Haofen Wang
- College of Design and Innovation, Tongji University, Shanghai, China.
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Mori Y, Tsuji T, Watanabe R, Hanazato M, Chen YR, Kondo K. Built Environments and Frailty in Older Adults: The JAGES Longitudinal Study Using Mediation Analysis. J Am Med Dir Assoc 2023; 24:1677-1682. [PMID: 37541649 DOI: 10.1016/j.jamda.2023.06.023] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2023] [Revised: 06/15/2023] [Accepted: 06/17/2023] [Indexed: 08/06/2023]
Abstract
OBJECTIVES The purpose of this study was to investigate the association between subjective built environment and the onset of frailty in older adults living in the community. In addition, we examined whether daily walking time, depressive symptoms, and social support from neighbors and friends are mediating factors. DESIGN This was a longitudinal study using prospective cohort data from the 2013 Japan Gerontological Evaluation Study. SETTING AND PARTICIPANTS Participants included 38,829 older adults who were not frail recruited from 22 cities and towns. METHODS The dependent variable, frailty, was assessed using the Kihon checklist. The explanatory variables were 5 items for the subjective built environment. The mediating variables were walking time of at least 30 minutes per day, a Geriatric Depression Scale (GDS) score of at least 5 points, and social support from neighbors and friends. We performed a causal mediation analysis of mediating effects between each built environment and frailty onset. Furthermore, the proportion of mediation was estimated. RESULTS After 3 years of follow-up, frailty emerged in 2232 adults (6.7%) in 2016. Access to parks and sidewalks, access to fresh food stores, houses or facilities where people feel free to drop in, and fascinating views, or buildings reduced the onset of frailty. Mediators significantly associated with the built environment and onset of frailty were access to parks and sidewalks (walking time: 5.9%, GDS: 22.9%, social support: 5.9%), access to fresh food stores (GDS: 31.9%, social support: 4.0%), hills and steps (GDS: 20.6%), houses or facilities where people feel free to drop in (walking time: 4.0%, GDS 28.0%, social support: 10.4%), and fascinating views, or buildings (walking time: 7.8%, GDS: 42.1%, social support: 12.0%). CONCLUSIONS AND IMPLICATIONS We found that walking time, depression, and social support were mediating factors in the relationship between built environment and the onset of frailty.
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Affiliation(s)
- Yuta Mori
- Department of Rehabilitation, Hananooka Hospital, Mie, Japan; Center for Preventive Medical Sciences, Chiba University, Chiba, Japan.
| | - Taishi Tsuji
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan; Institute of Health and Sport Sciences, University of Tsukuba, Tokyo, Japan
| | - Ryota Watanabe
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan; Center for Well-being and Society, Nihon Fukushi University, Aichi, Japan; Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
| | - Masamichi Hanazato
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan; Design Research Institute, Chiba University, Tokyo, Japan
| | - Yu-Ru Chen
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan
| | - Katsunori Kondo
- Center for Preventive Medical Sciences, Chiba University, Chiba, Japan; Center for Gerontology and Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan
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Ding Y, Wang C, Wang J, Wang P, Huang L. Revealing the impact of built environment, air pollution and housing price on health inequality: an empirical analysis of Nanjing, China. Front Public Health 2023; 11:1153021. [PMID: 37663827 PMCID: PMC10470114 DOI: 10.3389/fpubh.2023.1153021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2023] [Accepted: 08/07/2023] [Indexed: 09/05/2023] Open
Abstract
Introduction Residential segregation have become a common phenomenon in China recently. Socioeconomically disadvantaged residents were more likely to live in communities with higher PM2.5 concentrations and poorer built environment, which may ultimately lead to a higher health risk, further exacerbating health inequalities. However, the reasons for health inequalities under residential segregation remain unclear. Methods This study quantified the built environment, air pollution, mortality rate and housing price at 1 km × 1 km grid scale. Moderating effect model, mediating effect model, moderated mediating effect model were used to progressively clarify the relationship between the four. Results Results show that, in terms of spatial distribution, the central area has high housing price with good built environment, low PM2.5 concentration and low mortality rate. While the suburban area has low housing price, poor built environment, high PM2.5 concentration and high mortality rate. Additionally, built environment can not only reduce health risks through moderating effect, but also affect health through the mediating effect of PM2.5. There is heterogeneity in moderating effect of built environment in different locations. Housing prices can moderate the effect of built environment on health. This study would offer important reference for urban planning to mitigate the effect of built environment inequalities on health inequalities in China.
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Affiliation(s)
- Yu Ding
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, China
| | - Chenglong Wang
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, China
| | - Jiaming Wang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Peng Wang
- Faculty of Civil Engineering and Mechanics, Jiangsu University, Zhenjiang, China
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
| | - Lei Huang
- State Key Laboratory of Pollution Control and Resource Reuse, School of the Environment, Nanjing University, Nanjing, China
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Li Y, Chai Y, Chen Z, Li C. From lockdown to precise prevention: Adjusting epidemic-related spatial regulations from the perspectives of the 15-minute city and spatiotemporal planning. SUSTAINABLE CITIES AND SOCIETY 2023; 92:104490. [PMID: 36874355 PMCID: PMC9957973 DOI: 10.1016/j.scs.2023.104490] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 06/21/2022] [Revised: 02/23/2023] [Accepted: 02/23/2023] [Indexed: 05/28/2023]
Abstract
The COVID-19 pandemic challenged emergency management in cities worldwide. Many municipalities adopted restrictive, one-size-fits-all spatial regulations such as lockdowns without fully considering the inhabitants' daily activities and local economies. The existing epidemic regulations' unintended detrimental effects on socioeconomic sustainability necessitate a transition from the "lockdown" approach to more precise disease prevention. A spatially and temporally precise approach that balances epidemic prevention with the demands of daily activities and local economies is needed. Thus, the aim of this study was to propose a framework and key procedures for determining precise prevention regulations from the perspectives of the 15-minute city concept and spatiotemporal planning. Alternative regulations of lockdowns were determined by delineating 15-minute neighborhoods, identifying and reconfiguring facility supplies and activity demands in both normal and epidemic conditions, and performing cost-benefit analyses. Highly adaptable, spatially- and temporally-precise regulations can match the needs of different types of facilities. We demonstrated the process for determining precise prevention regulations in the case of the Jiulong 15-minute neighborhood in Beijing. Precise prevention regulations-which meet essential activity demands and are adaptable for different facility types, times, and neighborhoods-have implications for long-term urban planning and emergency management.
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Affiliation(s)
- Yanxi Li
- College of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China
| | - Yanwei Chai
- College of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China
| | - Zifeng Chen
- School of Geography and Planning, Sun Yat-sen University (East Campus), Room C402B, Panyu District, Guangzhou, China
| | - Chunjiang Li
- College of Urban and Environmental Sciences, Peking University, No.5 Yiheyuan Road, Beijing, China
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Ren X, Wei P, Wang Q, Sun W, Yuan M, Shao S, Zhu D, Xue Y. The effects of audio-visual perceptual characteristics on environmental health of pedestrian streets with traffic noise: A case study in Dalian, China. Front Psychol 2023; 14:1122639. [PMID: 37063532 PMCID: PMC10102546 DOI: 10.3389/fpsyg.2023.1122639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Accepted: 03/07/2023] [Indexed: 04/03/2023] Open
Abstract
The COVID-19 pandemic has affected city dwellers’ physical and mental health and has raised concerns about the health of urban public spaces. This field investigation research in Dalian, China, examined the perceived audio-visual environment characteristics of urban pedestrian streets with traffic noise and their influences on the environmental health of the pedestrian streets. Five indicators reflecting psychological responses to environmental characteristics (willingness to walk, relaxation, safety, beauty, and comprehensive comfort) were used to measure environmental health of pedestrian streets with traffic noise. The results showed that safety was rated the highest, and willingness to walk was evaluated as the lowest among health evaluation indicators. The imageability and openness of the streetscape were associated with each health evaluation indicator. In contrast, the rhythm and continuity of the street buildings had a greater effect on willingness to walk than the other health indicators. There were negative correlations between LAeq for traffic noise and health evaluations. Positive health evaluations were observed when LAeq was less than 55 dBA. In contrast, soundscape indicators showed positive correlations with health evaluations, and acoustic comfort and noise annoyance, rather than sound preference and subjective loudness were associated with each health evaluation indicator. In terms of the combined audio-visual factors, acoustic comfort, the quantity of greening, annoyance, sky visibility, spatial scale, and building distance were examined as the determining factors affecting health evaluations, and 55.40% of the variance in health evaluations was explained by the soundscape and streetscape indicators. The findings provide references for better understanding the relationships between healthy experience and audio-visual perceptions. Moreover, they enable environmental health quality optimisation of pedestrian spaces considering audio-visual indicators and approaches in the post-epidemic era.
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Affiliation(s)
- Xinxin Ren
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing, China
- *Correspondence: Xinxin Ren,
| | - Peng Wei
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
| | - Qiran Wang
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
| | - Wei Sun
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
| | - Minmin Yuan
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing, China
- Research Institute of Highway Ministry of Transport, Beijing, China
| | - Shegang Shao
- National Environmental Protection Engineering and Technology Center for Road Traffic Noise Control, Beijing, China
- Research Institute of Highway Ministry of Transport, Beijing, China
| | - Dandan Zhu
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
| | - Yishan Xue
- School of Architecture and Fine Arts, Dalian University of Technology, Dalian, Liaoning, China
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