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Cycling Greenway Planning towards Sustainable Leisure and Recreation: Assessing Network Potential in the Built Environment of Chengdu

Author

Listed:
  • Suyang Yuan

    (Department of City Planning, School of Architecture, Southeast University, Nanjing 210096, China)

  • Weiwei Dai

    (Department of Landscape Architecture, School of Architecture, Southeast University, Nanjing 210096, China)

  • Yunhan Zhang

    (College of Architecture and Environment, Sichuan University, Chengdu 610065, China)

  • Jianqiang Yang

    (Department of City Planning, School of Architecture, Southeast University, Nanjing 210096, China)

Abstract

In the quest to enhance urban green mobility and promote sustainable leisure activities, this study presents a comprehensive analysis of the potential for cycling greenways within the urban fabric of Chengdu, China. Leveraging the built environment and cycling routes, simulated by dockless bike-sharing (DBS) big data on weekend afternoons, the cycling flow on existing networks reflects the preference for leisure cycling in surroundings, thus indicating the potential for future enhancements to cycling greenway infrastructure. Employing Multi-Scale Geographically Weighted Regression (MGWR), this research captures the spatial heterogeneity in environmental factors influencing leisure cycling behaviors. The findings highlight the significant roles of mixed land use, network diversity, public transit accessibility, human-scale urban design, road network thresholds, and the spatially variable impacts of architectural form in determining cycling greenway potential. This study culminates with the development of an evaluation model, offering a scientific approach for cities to identify and prioritize the expansion of cycling infrastructure. Contributing to urban planning efforts for more livable and sustainable environments, this research underscores the importance of data-driven decision-making in urban green mobility enhancement by accurately identifying and efficiently upgrading infrastructure guided by public preferences.

Suggested Citation

  • Suyang Yuan & Weiwei Dai & Yunhan Zhang & Jianqiang Yang, 2024. "Cycling Greenway Planning towards Sustainable Leisure and Recreation: Assessing Network Potential in the Built Environment of Chengdu," Sustainability, MDPI, vol. 16(14), pages 1-27, July.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:14:p:6185-:d:1438817
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    References listed on IDEAS

    as
    1. Zhitao Li & Yuzhen Shang & Guanwei Zhao & Muzhuang Yang, 2022. "Exploring the Multiscale Relationship between the Built Environment and the Metro-Oriented Dockless Bike-Sharing Usage," IJERPH, MDPI, vol. 19(4), pages 1-21, February.
    2. A. Stewart Fotheringham & Wenbai Yang & Wei Kang, 2017. "Multiscale Geographically Weighted Regression (MGWR)," Annals of the American Association of Geographers, Taylor & Francis Journals, vol. 107(6), pages 1247-1265, November.
    3. Yiwei Bai & Yihang Bai & Ruoyu Wang & Tianren Yang & Xinyao Song & Bo Bai, 2023. "Exploring Associations between the Built Environment and Cycling Behaviour around Urban Greenways from a Human-Scale Perspective," Land, MDPI, vol. 12(3), pages 1-19, March.
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