IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2022i1p257-d1013296.html
   My bibliography  Save this article

How Do Block Built Environments Affect Daily Leisure Walking among the Elderly? A Empirical Study of Gaoyou, China

Author

Listed:
  • Yang Cao

    (School of Architecture and Civil Engineering, Jiangsu Open University, Nanjing 210036, China)

  • Hao Wu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Hongbin Wang

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Yawei Qu

    (College of Intelligent and Control Engineering, Jinling Institute of Technology, Nanjing 211169, China)

  • Yan Zeng

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

  • Xiyu Mu

    (Key Laboratory of Transportation Meteorology of China Meteorological Administration, Nanjing Joint Institute for Atmospheric Sciences, Nanjing 210041, China)

Abstract

Currently, the major global economies have entered an aging society. The promotion of physical activity is an important way to improve the health level of the elderly, and the study of health geography is a popular interdisciplinary research topic. This study selected 12 representative districts in Guoyu City, Jiangsu Province, to conduct a questionnaire survey on the activity range and behavior pattern of leisure walking among the elderly. We analyzed the relationship between the environment factors of different blocks and the walking activities of the elderly. The results showed that: (1) A range of 800 m from home is the most important leisure walking space for the urban elderly, and a distance between 800 and 1500 m is an important optional leisure walking space. (2) The density of open green space, commercial facilities, and public service facilities has a significant impact on the elderly’s leisure walking activities. (3) The socioeconomic background and health status of the elderly have a significant impact on their leisure walking activities. Healthy physical conditions can motivate the elderly to form good exercise habits. The government must optimize the built environment elements in a targeted living space to encourage physical activity among the elderly.

Suggested Citation

  • Yang Cao & Hao Wu & Hongbin Wang & Yawei Qu & Yan Zeng & Xiyu Mu, 2022. "How Do Block Built Environments Affect Daily Leisure Walking among the Elderly? A Empirical Study of Gaoyou, China," Sustainability, MDPI, vol. 15(1), pages 1-22, December.
    • Handle: RePEc:gam:jsusta:v:15:y:2022:i:1:p:257-:d:1013296
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/1/257/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/1/257/
    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. Harvey Goldstein & Jon Rasbash, 1996. "Improved Approximations for Multilevel Models with Binary Responses," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 159(3), pages 505-513, May.
    3. Indre Grazuleviciute-Vileniske & Lina Seduikyte & Armanda Teixeira-Gomes & Ana Mendes & Anatolijs Borodinecs & Deimante Buzinskaite, 2020. "Aging, Living Environment, and Sustainability: What Should be Taken into Account?," Sustainability, MDPI, vol. 12(5), pages 1-12, March.
    4. Razieh Zandieh & Javier Martinez & Johannes Flacke & Phil Jones & Martin Van Maarseveen, 2016. "Older Adults’ Outdoor Walking: Inequalities in Neighbourhood Safety, Pedestrian Infrastructure and Aesthetics," IJERPH, MDPI, vol. 13(12), pages 1-24, November.
    5. Marc Willinger & Dimitri Dubois & Sabrina Bravaccini, 2023. "Participation in sports competition closes the gender gaps in competition and in risk taking," Post-Print hal-03696936, HAL.
    6. Joana Oliveira & Roberta Frontini & Miguel Jacinto & Raúl Antunes, 2022. "Barriers and Motives for Physical Activity and Sports Practice among Trans People: A Systematic Review," Sustainability, MDPI, vol. 14(9), pages 1-11, April.
    7. Veerle Van Holle & Jelle Van Cauwenberg & Ilse De Bourdeaudhuij & Benedicte Deforche & Nico Van de Weghe & Delfien Van Dyck, 2016. "Interactions between Neighborhood Social Environment and Walkability to Explain Belgian Older Adults’ Physical Activity and Sedentary Time," IJERPH, MDPI, vol. 13(6), pages 1-14, June.
    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. Dharmambigai Prithviraj & Lakshmi Sundaram, 2023. "Exploring the Walkability of Senior Citizens in a Densely Populated Neighborhood of Chennai, India—A Structural Equation Modeling Approach," Sustainability, MDPI, vol. 15(18), pages 1-17, September.

    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. Wenjing Gong & Xiaoran Huang & Marcus White & Nano Langenheim, 2023. "Walkability Perceptions and Gender Differences in Urban Fringe New Towns: A Case Study of Shanghai," Land, MDPI, vol. 12(7), pages 1-21, July.
    2. 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.
    3. 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.
    4. 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.
    5. 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.
    6. 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.
    7. 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.
    8. 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).
    9. Subramanian, S.V. & Elwert, Felix & Christakis, Nicholas, 2008. "Widowhood and mortality among the elderly: The modifying role of neighborhood concentration of widowed individuals," Social Science & Medicine, Elsevier, vol. 66(4), pages 873-884, February.
    10. Ding, Yu & Lu, Huapu, 2016. "Activity participation as a mediating variable to analyze the effect of land use on travel behavior: A structural equation modeling approach," Journal of Transport Geography, Elsevier, vol. 52(C), pages 23-28.
    11. Singleton, Patrick A. & Park, Keunhyun & Lee, Doo Hong, 2021. "Varying influences of the built environment on daily and hourly pedestrian crossing volumes at signalized intersections estimated from traffic signal controller event data," Journal of Transport Geography, Elsevier, vol. 93(C).
    12. Bellelli, Francesco S. & Scarpa, Riccardo & Aftab, Ashar, 2023. "An empirical analysis of participation in international environmental agreements," Journal of Environmental Economics and Management, Elsevier, vol. 118(C).
    13. Toşa, Cristian & Sato, Hitomi & Morikawa, Takayuki & Miwa, Tomio, 2018. "Commuting behavior in emerging urban areas: Findings of a revealed-preferences and stated-intentions survey in Cluj-Napoca, Romania," Journal of Transport Geography, Elsevier, vol. 68(C), pages 78-93.
    14. Liu, Yan & Wang, Siqin & Xie, Bin, 2019. "Evaluating the effects of public transport fare policy change together with built and non-built environment features on ridership: The case in South East Queensland, Australia," Transport Policy, Elsevier, vol. 76(C), pages 78-89.
    15. Regine Gerike & Caroline Koszowski & Bettina Schröter & Ralph Buehler & Paul Schepers & Johannes Weber & Rico Wittwer & Peter Jones, 2021. "Built Environment Determinants of Pedestrian Activities and Their Consideration in Urban Street Design," Sustainability, MDPI, vol. 13(16), pages 1-21, August.
    16. Chetan Doddamani & M. Manoj, 2023. "Analysis of the influences of built environment measures on household car and motorcycle ownership decisions in Hubli-Dharwad cities," Transportation, Springer, vol. 50(1), pages 205-243, February.
    17. Jie Gao & Dick Ettema & Marco Helbich & Carlijn B. M. Kamphuis, 2019. "Travel mode attitudes, urban context, and demographics: do they interact differently for bicycle commuting and cycling for other purposes?," Transportation, Springer, vol. 46(6), pages 2441-2463, December.
    18. He, Mingwei & He, Chengfeng & Shi, Zhuangbin & He, Min, 2022. "Spatiotemporal heterogeneous effects of socio-demographic and built environment on private car usage: An empirical study of Kunming, China," Journal of Transport Geography, Elsevier, vol. 101(C).
    19. Boukarta Soufiane & Berezowska-Azzag Ewa, 2020. "Exploring the Role of Socio-Economic and Built Environment Driving Factors in Shaping the Commuting Modal Share: A Path-Analysis-Based Approach," Quaestiones Geographicae, Sciendo, vol. 39(4), pages 87-107, December.
    20. Mouratidis, Kostas & Ettema, Dick & Næss, Petter, 2019. "Urban form, travel behavior, and travel satisfaction," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 306-320.

    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:jsusta:v:15:y:2022:i:1:p:257-:d:1013296. 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.