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Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China

Author

Listed:
  • Wenxiao Wang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Yi Zhang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Chunli Zhao

    (Transport & Roads, Department of Technology and Society, Faculty of Engineering, Lund University, 22100 Lund, Sweden)

  • Xiaofei Liu

    (Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, MOT, Beijing 100029, China)

  • Xumei Chen

    (Key Laboratory of Advanced Public Transportation Science, China Academy of Transportation Sciences, MOT, Beijing 100029, China)

  • Chaoyang Li

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Tao Wang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Jiani Wu

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

  • Lanjing Wang

    (State Key Laboratory of Ocean Engineering, China Institute for Urban Governance, Shanghai Jiao Tong University, Shanghai 200240, China)

Abstract

The health and welfare of older adults have raised increasing attention due to global aging. Cycling is a physical activity and mode of transportation to enhance the mobility and quality of life among older adults. Nevertheless, the planning strategies to promote cycling among older adults are underutilized. Therefore, this paper describes the nonlinear associations of the built environment with cycling frequency among older adults. The data were collected from the Zhongshan Household Travel Survey (ZHTS) in 2012. The modeling approach was the eXtreme Gradient Boosting (XGBoost) model. The findings demonstrated that nonlinear relationships exist among all the selected built environment attributes. Within specific intervals, the population density, the land-use mixture, the distance from home to the nearest bus stop, and the distance from home to CBD are positively correlated to the cycling among older adults. Additionally, an inverse “U”-shaped relationship appears in the percentage of green space land use among all land uses. Moreover, the intersection density is inversely related to the cycling frequency among older adults. These findings provide nuanced and appropriate guidance for establishing age-friendly neighborhoods.

Suggested Citation

  • Wenxiao Wang & Yi Zhang & Chunli Zhao & Xiaofei Liu & Xumei Chen & Chaoyang Li & Tao Wang & Jiani Wu & Lanjing Wang, 2021. "Nonlinear Associations of the Built Environment with Cycling Frequency among Older Adults in Zhongshan, China," IJERPH, MDPI, vol. 18(20), pages 1-19, October.
    • Handle: RePEc:gam:jijerp:v:18:y:2021:i:20:p:10723-:d:655110
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    References listed on IDEAS

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    2. Jingrui Sun & Zhenjun Zhu & Ji Han & Zhanpeng He & Xinfang Xu, 2023. "Influence of the Built Environment on Older Adults’ Travel Time: Evidence from the Nanjing Metropolitan Area, China," Land, MDPI, vol. 12(6), pages 1-19, June.

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