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Wende ME, Hughey SM, McLain AC, Hallum S, Hipp JA, Schipperijn J, Stowe EW, Kaczynski AT. Identifying multilevel predictors of behavioral outcomes like park use: A comparison of conditional and marginal modeling approaches. PLoS One 2024; 19:e0301549. [PMID: 38626162 PMCID: PMC11020402 DOI: 10.1371/journal.pone.0301549] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/18/2024] [Indexed: 04/18/2024] Open
Abstract
This study compared marginal and conditional modeling approaches for identifying individual, park and neighborhood park use predictors. Data were derived from the ParkIndex study, which occurred in 128 block groups in Brooklyn (New York), Seattle (Washington), Raleigh (North Carolina), and Greenville (South Carolina). Survey respondents (n = 320) indicated parks within one half-mile of their block group used within the past month. Parks (n = 263) were audited using the Community Park Audit Tool. Measures were collected at the individual (park visitation, physical activity, sociodemographic characteristics), park (distance, quality, size), and block group (park count, population density, age structure, racial composition, walkability) levels. Generalized linear mixed models and generalized estimating equations were used. Ten-fold cross validation compared predictive performance of models. Conditional and marginal models identified common park use predictors: participant race, participant education, distance to parks, park quality, and population >65yrs. Additionally, the conditional mode identified park size as a park use predictor. The conditional model exhibited superior predictive value compared to the marginal model, and they exhibited similar generalizability. Future research should consider conditional and marginal approaches for analyzing health behavior data and employ cross-validation techniques to identify instances where marginal models display superior or comparable performance.
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Affiliation(s)
- Marilyn E. Wende
- Department of Health Education & Behavior, College of Health & Human Performance, University of Florida, Gainesville, FL, United States of America
| | - S. Morgan Hughey
- Department of Health and Human Performance, School of Health Sciences, College of Charleston, Charleston, SC, United States of America
| | - Alexander C. McLain
- Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America
| | - Shirelle Hallum
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America
| | - J. Aaron Hipp
- Department of Parks, Recreation, and Tourism Management, Center for Geospatial Analytics, North Carolina State University, Raleigh, NC, United States of America
| | - Jasper Schipperijn
- Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark
| | - Ellen W. Stowe
- Department of Health Promotion, Education, and Behavior, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America
| | - Andrew T. Kaczynski
- Department of Health Promotion, Education, and Behavior, Prevention Research Center, Arnold School of Public Health, University of South Carolina, Columbia, SC, United States of America
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Pontin FL, Jenneson VL, Morris MA, Clarke GP, Lomax NM. Objectively measuring the association between the built environment and physical activity: a systematic review and reporting framework. Int J Behav Nutr Phys Act 2022; 19:119. [PMID: 36104757 PMCID: PMC9476279 DOI: 10.1186/s12966-022-01352-7] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2021] [Accepted: 08/18/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Background
Objective measures of built environment and physical activity provide the opportunity to directly compare their relationship across different populations and spatial contexts. This systematic review synthesises the current body of knowledge and knowledge gaps around the impact of objectively measured built environment metrics on physical activity levels in adults (≥ 18 years). Additionally, this review aims to address the need for improved quality of methodological reporting to evaluate studies and improve inter-study comparability though the creation of a reporting framework.
Methods
A systematic search of the literature was conducted following the PRISMA guidelines. After abstract and full-text screening, 94 studies were included in the final review. Results were synthesised using an association matrix to show overall association between built environment and physical activity variables. Finally, the new PERFORM (’Physical and Environmental Reporting Framework for Objectively Recorded Measures’) checklist was created and applied to the included studies rating them on their reporting quality across four key areas: study design and characteristics, built environment exposures, physical activity metrics, and the association between built environment and physical activity.
Results
Studies came from 21 countries and ranged from two days to six years in duration. Accelerometers and using geographic information system (GIS) to define the spatial extent of exposure around a pre-defined geocoded location were the most popular tools to capture physical activity and built environment respectively. Ethnicity and socio-economic status of participants were generally poorly reported. Moderate-to-vigorous physical activity (MVPA) was the most common metric of physical activity used followed by walking. Commonly investigated elements of the built environment included walkability, access to parks and green space. Areas where there was a strong body of evidence for a positive or negative association between the built environment and physical activity were identified. The new PERFORM checklist was devised and poorly reported areas identified, included poor reporting of built environment data sources and poor justification of method choice.
Conclusions
This systematic review highlights key gaps in studies objectively measuring the built environment and physical activity both in terms of the breadth and quality of reporting. Broadening the variety measures of the built environment and physical activity across different demographic groups and spatial areas will grow the body and quality of evidence around built environment effect on activity behaviour. Whilst following the PERFORM reporting guidance will ensure the high quality, reproducibility, and comparability of future research.
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Petrunoff NA, Edney S, Yi NX, Dickens BL, Joel KR, Xin WN, Sia A, Leong D, van Dam RM, Cook AR, Sallis JF, Chandrabose M, Owen N, Müller-Riemenschneider F. Associations of park features with park use and park-based physical activity in an urban environment in Asia: A cross-sectional study. Health Place 2022; 75:102790. [PMID: 35316722 DOI: 10.1016/j.healthplace.2022.102790] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/01/2021] [Revised: 03/04/2022] [Accepted: 03/10/2022] [Indexed: 12/15/2022]
Abstract
Park use is associated with health, yet our understanding of park features related to their use is limited. Singapore's parks were audited for 30 micro-features, then geospatial analysis characterized micro-features scores for parks nearest to participants' homes. Adults (3,435) reported their park use and park-based physical activity. Using linear regression models, we found living near a park with higher micro-features scores was associated with more time in parks and park-based physical activity. Specific micro-features were associated with more park time (wildlife areas, water features, forested areas, unpaved trails (2-2.6 h/month, p < 0.05)) and with physical activity in parks (water features, forested areas, large playground, open green spaces (1.8-2.2 h/month, p < 0.05)). These findings could inform parks planning to support population-health.
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Affiliation(s)
- Nicholas A Petrunoff
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore.
| | - Sarah Edney
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Ng Xian Yi
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Borame L Dickens
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Koo Ruihan Joel
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Wang Nan Xin
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Human Nutrition, University of Otago, Dunedin, New Zealand
| | - Angelia Sia
- Centre for Urban Greenery & Ecology, National Parks Board Singapore, Singapore Botanic Gardens, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Duncan Leong
- GIS Hub, National Parks Board Singapore, Singapore Botanic Gardens, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Department of Nutrition and Department of Epidemiology, Harvard T.H. Chan School of Public Health, United States
| | - Alex R Cook
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - James F Sallis
- Mary Mackillop Institute for Health Research, Australian Catholic University, Melbourne, Australia; Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
| | - Manoj Chandrabose
- Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia; Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia
| | - Neville Owen
- Behavioural Epidemiology Laboratory, Baker Heart & Diabetes Institute, Melbourne, Australia; Centre for Urban Transitions, Swinburne University of Technology, Melbourne, Australia
| | - Falk Müller-Riemenschneider
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore; Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Digital Health Center, Berlin Institute of Health, Germany
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Li H, Luo W, Hou Y, Xia Y, Yao J, Kang N, Deng C, Sun H, Chen C. Factors Affecting Perceived Health Benefits and Use Behaviors in Urban Green Spaces During the COVID-19 Pandemic in Southern China Megacities. Front Public Health 2021; 9:759444. [PMID: 34778190 PMCID: PMC8581461 DOI: 10.3389/fpubh.2021.759444] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/16/2021] [Accepted: 10/01/2021] [Indexed: 11/13/2022] Open
Abstract
Background: The COVID-19 pandemic has alienated people from urban green spaces (UGSs) that have various health outcomes for humans. However, little is known about the influential factors of perceived health benefits and use behaviors in UGSs during the COVID-19 pandemic. This study aims to explore the key factors that influence perceived health benefits and use behaviors in UGSs and to assess the mediating role of place attachment in relationships during the COVID-19 pandemic in Chinese megacities. Methods: We conducted an online questionnaire survey from December 2020 to March 2021 in Guangzhou and Shenzhen, China. Six multiple regression models were constructed to investigate the main factors by which UGSs influence citizens' perceived health benefits and use behaviors. Four mediation models were established using the structural equation modeling (SEM) method to explore the mediating effect of place attachment. Results: A total of 628 questionnaires were included in the analysis. The results revealed that some UGS components (green space access, maintenance, and soundscape) significantly affected perceived health benefits for citizens (physical, mental, and social health) during the COVID-19 pandemic. Conversely, use behaviors (frequency of visits, duration of visits, and activity intensity) were mainly affected by the sociodemographic context but less affected by UGS components. In addition, UGS components were found to significantly predict place attachment, which in turn influenced the perceived health benefits, frequency, and duration of visits. Conclusions: This study distinguished the key factors that affect perceived health benefits and use behaviors during the COVID-19 pandemic: green space access, maintenance, soundscape, and sociodemographic characteristics. Place attachment still needs to be considered when discussing how to encourage citizens to visit UGSs during the pandemic. These findings provide implications for policymakers and landscape planners regarding design and management measures for UGSs that are conducive to coping with pandemics.
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Affiliation(s)
- Haiwei Li
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Weijing Luo
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Yongqi Hou
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Yu Xia
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
| | - Jing Yao
- Urban Big Data Centre, School of Social and Political Sciences, University of Glasgow, Glasgow, United Kingdom
| | - Ning Kang
- School of Architecture, Tsinghua University, Beijing, China
| | - Congshuang Deng
- Guangzhou Sun & Partners Incorporation Design Co., Ltd., Guangzhou, China
| | - Hu Sun
- Guangzhou Sun & Partners Incorporation Design Co., Ltd., Guangzhou, China
| | - Chongxian Chen
- College of Forestry and Landscape Architecture, South China Agricultural University, Guangzhou, China
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5
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Boakye KA, Amram O, Schuna JM, Duncan GE, Hystad P. GPS-based built environment measures associated with adult physical activity. Health Place 2021; 70:102602. [PMID: 34139613 PMCID: PMC8328940 DOI: 10.1016/j.healthplace.2021.102602] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2021] [Revised: 06/03/2021] [Accepted: 06/04/2021] [Indexed: 10/21/2022]
Abstract
Studies often rely on home locations to access built environment (BE) influences on physical activity (PA). We use GPS and accelerometer data collected for 288 individuals over a two-week period to examine eight GPS-derived BE characteristics and moderate-to-vigorous PA (MVPA) and light-to-moderate-vigorous PA (LMVPA). NDVI, parks, blue space, pedestrian-orientated intersections, and population density were associated with increased odds of LMVPA and MVPA, while traffic air pollution and noise were associated with decreased odds of LMVPA and MVPA. Associations varied by population density and when accounting for multiple BE measures. These findings provide further information on where individuals choose to be physically active.
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Affiliation(s)
- Kwadwo A Boakye
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA.
| | - Ofer Amram
- Department of Nutrition and Exercise Physiology, Elson S. Floyd School of Medicine, Washington State University, Spokane, WA, 99202, USA; Paul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, 99164, USA.
| | - John M Schuna
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA.
| | - Glen E Duncan
- Department of Nutrition and Exercise Physiology, Elson S. Floyd School of Medicine, Washington State University, Spokane, WA, 99202, USA.
| | - Perry Hystad
- School of Biological and Population Health Sciences, Oregon State University, Corvallis, OR, USA.
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Kaczynski AT, Hughey SM, Stowe EW, Wende ME, Hipp JA, Oliphant EL, Schipperijn J. ParkIndex: Validation and application of a pragmatic measure of park access and use. Prev Med Rep 2020; 20:101218. [PMID: 33354490 PMCID: PMC7744752 DOI: 10.1016/j.pmedr.2020.101218] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Revised: 08/08/2020] [Accepted: 09/25/2020] [Indexed: 11/16/2022] Open
Abstract
Composite metrics integrating park availability, features, and quality for a given address or neighborhood are lacking. The purposes of this study were to describe the validation, application, and demonstration of ParkIndex in four diverse communities. This study occurred in Fall 2018 in 128 census block groups within Seattle(WA), Brooklyn(NY), Raleigh(NC), and Greenville County(SC). All parks within a half-mile buffer were audited to calculate a composite park quality score, and select households provided data about use of proximal parks via an online, map-based survey. For each household, the number of parks, total park acreage, and average park quality score within one half-mile were calculated using GIS. Logistic regression was used to identify a parsimonious model predicting park use. ParkIndex values (representing the probability of park use) were mapped for all study areas and after scenarios involving the addition and renovation/improvement of parks. Out of 360 participants, 23.3% reported visiting a park within the past 30 days. The number of parks (OR = 1.36, 95% CI = 1.15-1.62), total park acreage (OR = 1.13, 95% CI = 1.07-1.19), and average park quality score (OR = 1.04, 95% CI = 1.01-1.06) within one half-mile were all associated with park use. Composite ParkIndex values across the study areas ranged from 0 to 100. Hypothetical additions of or renovations to study area parks resulted in ParkIndex increases of 22.7% and 19.2%, respectively. ParkIndex has substantial value for park and urban planners, citizens, and researchers as a common metric to facilitate awareness, decision-making, and intervention planning related to park access, environmental justice, and community health.
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Affiliation(s)
- Andrew T. Kaczynski
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
- Prevention Research Center, Arnold School of Public Health, University of South Carolina, United States
| | - S. Morgan Hughey
- Department of Health and Human Performance, College of Charleston, United States
| | - Ellen W. Stowe
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
| | - Marilyn E. Wende
- Department of Health Promotion, Education and Behavior, Arnold School of Public Health, University of South Carolina, United States
| | - J. Aaron Hipp
- Department of Parks, Recreation, and Tourism Management, NC State University, United States
- Center for Geospatial Analytics, NC State University, United States
| | - Elizabeth L. Oliphant
- Department of Parks, Recreation, and Tourism Management, NC State University, United States
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7
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Katapally TR, Bhawra J, Patel P. A systematic review of the evolution of GPS use in active living research: A state of the evidence for research, policy, and practice. Health Place 2020; 66:102453. [PMID: 33137684 DOI: 10.1016/j.healthplace.2020.102453] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/02/2020] [Revised: 09/15/2020] [Accepted: 09/18/2020] [Indexed: 10/23/2022]
Abstract
This is the first systematic review to comprehensively capture Global Positioning Systems' (GPS) utilization in active living research by investigating the influence of physical contexts and social environment on all intensities of physical activity and sedentary behavior among all age groups. An extensive search of peer-reviewed literature was conducted using six databases. Out of 2026 articles identified, 129 studies met the inclusion criteria. After describing the evolution of GPS use across four themes (study designs and methods, physical contexts and social environment, active transportation, and behaviors), evidence-based recommendations for active living research, policy, and practice were generated.
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Affiliation(s)
- Tarun R Katapally
- Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, Saskatchewan, Canada; Johnson Shoyama Graduate School of Public Policy, University of Saskatchewan, Saskatoon, Saskatchewan, Canada; Department of Community Health and Epidemiology, College of Medicine, University of Saskatchewan, Saskatoon, Saskatchewan, Canada.
| | - Jasmin Bhawra
- School of Public Health and Health Systems, University of Waterloo, Waterloo, Ontario, Canada
| | - Pinal Patel
- Johnson Shoyama Graduate School of Public Policy, University of Regina, Regina, Saskatchewan, Canada
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Liu B, Chen Y, Xiao M. The Social Utility and Health Benefits for Older Adults of Amenity Buildings in China's Urban Parks: A Nanjing Case Study. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17207497. [PMID: 33076316 PMCID: PMC7602670 DOI: 10.3390/ijerph17207497] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 10/12/2020] [Accepted: 10/13/2020] [Indexed: 11/16/2022]
Abstract
As China's population rapidly ages, research and discussion on how to better optimize public spaces for the elderly's health and benefit continue to deepen. This study uses observational surveys and questionnaires to investigate the elderly visitors of Nanjing's urban parks and explore the impact the parks' amenity buildings (structures built to provide visitors with conveniences, e.g., shelters and pavilions) has on their health and associated socialization tendencies. Data were collected from ten amenity buildings in ten separate parks to compose a total dataset of 728 activity statistics and 270 valid questionnaires. The study's results indicate that amenity buildings significantly increase opportunities for older adults to socialize and thereby can increase this demographic's associated health benefits. The social activities formed around amenity buildings are found to improve social interactions and connectedness among older adults more compared to other age groups. Elderly participation in social activities is also found to positively correlate with environmental characteristics. High-quality landscapes ensure healthy development of social activities within amenity buildings and promote the occurrence and continuation of social interactions. In order of highest to lowest impact on elderly activities, the following factors were identified and scored: amenity building scale, lighting, comprehensive surrounding environment, surrounding amenities, water features, and vegetation. This research also reveals that among existing amenity buildings, there is insufficient support for certain activities and therefore, parks need to be improved to address this deficiency. Overall, this study indicates that under China's current aging trends, amenity buildings have become an especially important infrastructure within urban public space, and their design trend is to incorporate the dual characteristics of "recreation + society".
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Affiliation(s)
- Binyu Liu
- Digital Landscape Architecture Lab of Southeast University, Landscape Architecture Department, School of Architecture, Southeast University, Nanjing 210096, China;
| | - Ye Chen
- Digital Landscape Architecture Lab of Southeast University, Landscape Architecture Department, School of Architecture, Southeast University, Nanjing 210096, China;
- Correspondence: ; Tel.: +86-138-0902-5592
| | - Meng Xiao
- China Construction Science & Technology Group Co., LTD., Shenzhen 518000, China;
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9
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Impact of Perception of Green Space for Health Promotion on Willingness to Use Parks and Actual Use among Young Urban Residents. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2020; 17:ijerph17155560. [PMID: 32752166 PMCID: PMC7432496 DOI: 10.3390/ijerph17155560] [Citation(s) in RCA: 21] [Impact Index Per Article: 5.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Revised: 07/28/2020] [Accepted: 07/31/2020] [Indexed: 12/18/2022]
Abstract
Promoting the use of green space is a fundamental way to improve physical and mental health and to enhance the quality of life of urban residents. In response to increasing demand for green space in cities, the impact of perception of green space for health promotion on willingness to use parks and actual use among young urban residents was investigated in this study. A total of 1135 young residents (ages 18–35) in three cities in China were surveyed by online questionnaire. A group of multiple regression models was constructed to investigate the influencing perception factors of participants’ willingness to use parks and actual use. The results revealed that the young residents’ perception of green space components for health promotion (green space access, types, sizes, plants, water, sensory features, microclimate environments and amenity facilities) had a greater effect on their willingness to use parks and to promote health, while it was less influential with respect to their actual park use behavior (frequency and duration). Among these variables, green space access is a critical concern for willingness to use toward parks. The disparities of perception of green space for health promotion effect on willingness to use a park and actual use provide a better understanding of the psychological factors affecting park use among young residents. The findings also provided some implications for public health policymakers, urban planners and landscape architects in designing parks to encourage visitation by young people.
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