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A Study on Bicycle-Sharing Dispatching Station Site Selection and Planning Based on Multivariate Data

Author

Listed:
  • Yong Lei

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Jun Zhang

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

  • Zhihua Ren

    (School of Landscape Architecture, Northeast Forestry University, Harbin 150040, China)

Abstract

Bicycle-sharing is experiencing rapidly as a low-carbon transport mode of travel, with the advantages of low cost and sustainability. Bicycle-sharing operators use electronic fence parking points to manage bicycle-sharing, but it is too time-consuming and impractical to manage them individually. Therefore, it is necessary to cluster the electronic fence parking points and implement regionalized management. This study uses a Mean-shift clustering algorithm to cluster the electronic fence parking points on Xiamen Island, construct a bicycle-sharing dispatching station, and divide the management area. Singular value decomposition is employed to analyze the travel demand patterns of bicycle-sharing and travel characteristics. In addition, we constructed regression models to explore the relationship between the urban built environment and bicycle-sharing trips during the morning and evening peak hours. The study results show that: (1) The 73 dispatching stations constructed cover 86.72% of the bicycle-sharing data, with a good clustering effect. (2) The travel demand for bicycle-sharing shows multiple patterns and different characteristics in different spatial and temporal distributions, which are influenced by land use. (3) There are spatial and temporal differences in the impact of the urban built environment on bicycle-sharing trips, especially residential and enterprise poi densities have opposite effects on shared bicycle-sharing during morning and evening peak hours. The research results of this paper can serve in the planning of bicycle-sharing dispatch stations and the differentiated management and dispatch of bicycle-sharing, which can reduce operating costs and promote the development of sustainable urban transport.

Suggested Citation

  • Yong Lei & Jun Zhang & Zhihua Ren, 2023. "A Study on Bicycle-Sharing Dispatching Station Site Selection and Planning Based on Multivariate Data," Sustainability, MDPI, vol. 15(17), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:17:p:13112-:d:1229823
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    References listed on IDEAS

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    1. Böcker, Lars & Anderson, Ellinor & Uteng, Tanu Priya & Throndsen, Torstein, 2020. "Bike sharing use in conjunction to public transport: Exploring spatiotemporal, age and gender dimensions in Oslo, Norway," Transportation Research Part A: Policy and Practice, Elsevier, vol. 138(C), pages 389-401.
    2. Namkung, Ok Stella & Park, Jonghan & Ko, Joonho, 2023. "Public bike users’ annual travel distance: Findings from combined data of user survey and annual rental records," Transportation Research Part A: Policy and Practice, Elsevier, vol. 170(C).
    3. Giuffrida, Nadia & Pilla, Francesco & Carroll, Páraic, 2023. "The social sustainability of cycling: Assessing equity in the accessibility of bike-sharing services," Journal of Transport Geography, Elsevier, vol. 106(C).
    4. Ali Soltani & Andrew Allan & Masoud Javadpoor & Jaswanth Lella, 2022. "Space Syntax in Analysing Bicycle Commuting Routes in Inner Metropolitan Adelaide," Sustainability, MDPI, vol. 14(6), pages 1-13, March.
    5. Chrysanthi Mastora & Evangelos Paschalidis & Andreas Nikiforiadis & Socrates Basbas, 2023. "Pedestrian Crossings as a Means of Reducing Conflicts between Cyclists and Pedestrians in Shared Spaces," Sustainability, MDPI, vol. 15(12), pages 1-18, June.
    6. Younes, Hannah & Zou, Zhenpeng & Wu, Jiahui & Baiocchi, Giovanni, 2020. "Comparing the Temporal Determinants of Dockless Scooter-share and Station-based Bike-share in Washington, D.C," Transportation Research Part A: Policy and Practice, Elsevier, vol. 134(C), pages 308-320.
    7. Fitch, Dillon T. & Carlen, Jane & Handy, Susan L., 2022. "What makes bicyclists comfortable? Insights from a visual preference survey of casual and prospective bicyclists," Transportation Research Part A: Policy and Practice, Elsevier, vol. 155(C), pages 434-449.
    Full references (including those not matched with items on IDEAS)

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