IDEAS home Printed from https://ideas.repec.org/a/gam/jlands/v10y2021i2p175-d495708.html
   My bibliography  Save this article

Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning

Author

Listed:
  • Ying Jing

    (Ningbo Institute of Technology, School of Economics, Zhejiang University, Ningbo 315000, China)

  • Ding Ma

    (Research Institute for Smart Cities, School of Architecture and Urban Planning, Shenzhen University, Shenzhen 518000, China)

  • Yaolin Liu

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430000, China)

  • Jiaxing Cui

    (College of Urban and Environmental Science, Central China Normal University, Wuhan 430000, China)

  • Sheng Zhang

    (Ningbo Research Institute, Zhejiang University, Ningbo 315000, China)

  • Yiyun Chen

    (School of Resource and Environmental Sciences, Wuhan University, Wuhan 430000, China)

Abstract

Many cities face health issues that result from ineffective urban planning strategies. The chances of doing exercises in sportive venues implicate public health and citizen quality of life. With the advent of the geo-big data era, it is crucial to explore the spatial pattern of sports facilities to reflect urban health issues. This study aims to decode the street-based spatiality of gyms (one prevailing type of sportive venues) from a comprehensive perspective by both geometric methods (i.e., segment streets) and topological analytics in the context of complexity science (i.e., complex network derived from the topology of natural streets). We found that: (1) gyms are spatially clustered and distributed unevenly; (2) community-to-gym walkability fits the power-law with a heavy-tailed distribution at the 10-min and 20-min temporal scales; (3) the model for the street connectivity and the multi-distance reachability of gyms is with high polynomial fitting goodness. This article is conducive to strategies-making of healthy city planning and the further optimization of urban spatial structure.

Suggested Citation

  • Ying Jing & Ding Ma & Yaolin Liu & Jiaxing Cui & Sheng Zhang & Yiyun Chen, 2021. "Decoding the Street-Based Spatiality of Urban Gyms: Implications for Healthy City Planning," Land, MDPI, vol. 10(2), pages 1-14, February.
    • Handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:175-:d:495708
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2073-445X/10/2/175/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2073-445X/10/2/175/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Reid Ewing & Robert Cervero, 2010. "Travel and the Built Environment," Journal of the American Planning Association, Taylor & Francis Journals, vol. 76(3), pages 265-294.
    2. Yaolin Liu & Ying Jing & Enxiang Cai & Jiaxing Cui & Yang Zhang & Yiyun Chen, 2017. "How Leisure Venues Are and Why? A Geospatial Perspective in Wuhan, Central China," Sustainability, MDPI, vol. 9(10), pages 1-21, October.
    3. Shrestha, Samjhana & Kestens, Yan & Thomas, Frédérique & El Aarbaoui, Tarik & Chaix, Basile, 2019. "Spatial access to sport facilities from the multiple places visited and sport practice: Assessing and correcting biases related to selective daily mobility," Social Science & Medicine, Elsevier, vol. 236(C), pages 1-1.
    4. Sallis, James F & Bull, Fiona & Burdett, Ricky & Frank, Lawrence D. & Griffiths, Peter & Giles-Corti, Billie & Stevenson, Mark, 2016. "Use of science to guide city planning policy and practice: how to achieve healthy and sustainable future cities," LSE Research Online Documents on Economics 68652, London School of Economics and Political Science, LSE Library.
    5. Millward, Hugh & Spinney, Jamie & Scott, Darren, 2013. "Active-transport walking behavior: destinations, durations, distances," Journal of Transport Geography, Elsevier, vol. 28(C), pages 101-110.
    6. Silva, M. & Cashman, S. & Kunte, P. & Candib, L.M., 2012. "Improving population health through integration of primary care and public health: Providing access to physical activity for community health center patients," American Journal of Public Health, American Public Health Association, vol. 102(11), pages 56-61.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Xu, Jiwei & Liu, Yaolin & Liu, Yanfang & An, Rui & Tong, Zhaomin, 2023. "Integrating street view images and deep learning to explore the association between human perceptions of the built environment and cardiovascular disease in older adults," Social Science & Medicine, Elsevier, vol. 338(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Neatt, Kevin & Millward, Hugh & Spinney, Jamie, 2017. "Neighborhood walking densities: A multivariate analysis in Halifax, Canada," Journal of Transport Geography, Elsevier, vol. 61(C), pages 9-16.
    2. Jeffrey, Dana & Boulangé, Claire & Giles-Corti, Billie & Washington, Simon & Gunn, Lucy, 2019. "Using walkability measures to identify train stations with the potential to become transit oriented developments located in walkable neighbourhoods," Journal of Transport Geography, Elsevier, vol. 76(C), pages 221-231.
    3. Peiravian, Farideddin & Derrible, Sybil & Ijaz, Farukh, 2014. "Development and application of the Pedestrian Environment Index (PEI)," Journal of Transport Geography, Elsevier, vol. 39(C), pages 73-84.
    4. Senes, Giulio & Rovelli, Roberto & Bertoni, Danilo & Arata, Laura & Fumagalli, Natalia & Toccolini, Alessandro, 2017. "Factors influencing greenways use: Definition of a method for estimation in the Italian context," Journal of Transport Geography, Elsevier, vol. 65(C), pages 175-187.
    5. Berjisian, Elmira & Habibian, Meeghat, 2019. "Developing a pedestrian destination choice model using the stratified importance sampling method," Journal of Transport Geography, Elsevier, vol. 77(C), pages 39-47.
    6. Su, Shiliang & Zhang, Hui & Wang, Miao & Weng, Min & Kang, Mengjun, 2021. "Transit-oriented development (TOD) typologies around metro station areas in urban China: A comparative analysis of five typical megacities for planning implications," Journal of Transport Geography, Elsevier, vol. 90(C).
    7. Jie Zhang & Yang Xie, 2015. "Optimal Intra-Urban Hierarchy of Activity Centers—A Minimized Household Travel Energy Consumption Approach," Sustainability, MDPI, vol. 7(9), pages 1-19, August.
    8. Fernando Fonseca & Elisa Conticelli & George Papageorgiou & Paulo Ribeiro & Mona Jabbari & Simona Tondelli & Rui Ramos, 2021. "Levels and Characteristics of Utilitarian Walking in the Central Areas of the Cities of Bologna and Porto," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    9. Douglas Houston & Marlon G Boarnet & Gavin Ferguson & Steven Spears, 2015. "Can compact rail transit corridors transform the automobile city? Planning for more sustainable travel in Los Angeles," Urban Studies, Urban Studies Journal Limited, vol. 52(5), pages 938-959, April.
    10. O’Driscoll, Conor & Crowley, Frank & Doran, Justin & McCarthy, Nóirín, 2023. "Land-use mixing in Irish cities: Implications for sustainable development," Land Use Policy, Elsevier, vol. 128(C).
    11. Eizaguirre-Iribar, Arritokieta & Grijalba, Olatz, 2020. "A methodological proposal for the analysis of disused railway lines as territorial structuring elements: The case study of the Vasco-Navarro railway," Land Use Policy, Elsevier, vol. 91(C).
    12. David S Vale & Mauro Pereira, 2017. "The influence of the impedance function on gravity-based pedestrian accessibility measures: A comparative analysis," Environment and Planning B, , vol. 44(4), pages 740-763, July.
    13. Bojing Liao & Pauline E. W. van den Berg & Pieter J. V. van Wesemael & Theo A. Arentze, 2020. "How Does Walkability Change Behavior? A Comparison between Different Age Groups in the Netherlands," IJERPH, MDPI, vol. 17(2), pages 1-14, January.
    14. Clifton, Kelly J. & Singleton, Patrick A. & Muhs, Christopher D. & Schneider, Robert J., 2016. "Representing pedestrian activity in travel demand models: Framework and application," Journal of Transport Geography, Elsevier, vol. 52(C), pages 111-122.
    15. Mehzabin Tuli, Farzana & Mitra, Suman & Crews, Mariah B., 2021. "Factors influencing the usage of shared E-scooters in Chicago," Transportation Research Part A: Policy and Practice, Elsevier, vol. 154(C), pages 164-185.
    16. John Stanley & Janet Stanley, 2023. "Improving Appraisal Methodology for Land Use Transport Measures to Reduce Risk of Social Exclusion," Sustainability, MDPI, vol. 15(15), pages 1-18, August.
    17. Marie Geraldine Herrmann-Lunecke & Cristhian Figueroa-Martínez & Francisca Parra Huerta & Rodrigo Mora, 2022. "The Disabling City: Older Persons Walking in Central Neighbourhoods of Santiago de Chile," Sustainability, MDPI, vol. 14(17), pages 1-19, September.
    18. Li, Jingjing & Kim, Changjoo & Sang, Sunhee, 2018. "Exploring impacts of land use characteristics in residential neighborhood and activity space on non-work travel behaviors," Journal of Transport Geography, Elsevier, vol. 70(C), pages 141-147.
    19. Ding, Chuan & Wang, Donggen & Liu, Chao & Zhang, Yi & Yang, Jiawen, 2017. "Exploring the influence of built environment on travel mode choice considering the mediating effects of car ownership and travel distance," Transportation Research Part A: Policy and Practice, Elsevier, vol. 100(C), pages 65-80.
    20. Van Acker, Veronique & Ho, Loan & Stevens, Larissa & Mulley, Corinne, 2020. "Quantifying the effects of childhood and previous residential experiences on the use of public transport," Journal of Transport Geography, Elsevier, vol. 86(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jlands:v:10:y:2021:i:2:p:175-:d:495708. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.