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Nonlinear and Threshold Effects of the Built Environment on Dockless Bike-Sharing

Author

Listed:
  • Ming Chen

    (Shanghai Investigation, Design and Research Institute Co., Ltd., 65 Linxin Road, Shanghai 200335, China)

  • Ting Wang

    (College of Transportation Engineering, Tongji University, Shanghai 200070, China
    The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Shanghai 201804, China)

  • Zongshi Liu

    (College of Transportation Engineering, Tongji University, Shanghai 200070, China
    The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Shanghai 201804, China)

  • Ye Li

    (College of Transportation Engineering, Tongji University, Shanghai 200070, China
    The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Shanghai 201804, China)

  • Meiting Tu

    (College of Transportation Engineering, Tongji University, Shanghai 200070, China
    The Key Laboratory of Road and Traffic Engineering, Ministry of Education, 4800 Cao’an Road, Shanghai 201804, China)

Abstract

Dockless bike-sharing mobility brings considerable benefits to building low-carbon transportation. However, the operators often rush to seize the market and regulate the services without a good knowledge of this new mobility option, which results in unreasonable layout and management of shared bicycles. Therefore, it is meaningful to explore the relationship between the built environment and bike-sharing ridership. This study proposes a novel framework integrated with the extreme gradient boosting tree model to evaluate the impacts and threshold effects of the built environment on the origin–destination bike-sharing ridership. The results show that most built environment features have strong nonlinear effects on the bike-sharing ridership. The bus density, the industrial ratio, the local population density, and the subway density are the key explanatory variables impacting the bike-sharing ridership. The threshold effects of the built environment are explored based on partial dependence plots, which could improve the bike-sharing system and provide policy implications for green travel and sustainable transportation.

Suggested Citation

  • Ming Chen & Ting Wang & Zongshi Liu & Ye Li & Meiting Tu, 2024. "Nonlinear and Threshold Effects of the Built Environment on Dockless Bike-Sharing," Sustainability, MDPI, vol. 16(17), pages 1-18, September.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:17:p:7690-:d:1471517
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    References listed on IDEAS

    as
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