IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i17p13112-d1229823.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/17/13112/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/15/17/13112/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    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)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Jaume Torres & Enrique Jiménez-Meroño & Francesc Soriguera, 2024. "Forecasting the Usage of Bike-Sharing Systems through Machine Learning Techniques to Foster Sustainable Urban Mobility," Sustainability, MDPI, vol. 16(16), pages 1-14, August.

    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. Huo, Jinghai & Yang, Hongtai & Li, Chaojing & Zheng, Rong & Yang, Linchuan & Wen, Yi, 2021. "Influence of the built environment on E-scooter sharing ridership: A tale of five cities," Journal of Transport Geography, Elsevier, vol. 93(C).
    2. Cheng, Long & Huang, Jie & Jin, Tanhua & Chen, Wendong & Li, Aoyong & Witlox, Frank, 2023. "Comparison of station-based and free-floating bikeshare systems as feeder modes to the metro," Journal of Transport Geography, Elsevier, vol. 107(C).
    3. Sebastian Rühmann & Stephan Leible & Tom Lewandowski, 2024. "Interpretable Bike-Sharing Activity Prediction with a Temporal Fusion Transformer to Unveil Influential Factors: A Case Study in Hamburg, Germany," Sustainability, MDPI, vol. 16(8), pages 1-32, April.
    4. 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.
    5. Shah, Nitesh R. & Ziedan, Abubakr & Brakewood, Candace & Cherry, Christopher R., 2023. "Shared e-scooter service providers with large fleet size have a competitive advantage: Findings from e-scooter demand and supply analysis of Nashville, Tennessee," Transportation Research Part A: Policy and Practice, Elsevier, vol. 178(C).
    6. Yin, Rumeng & He, Jiang, 2023. "Design of a photovoltaic electric bike battery-sharing system in public transit stations," Applied Energy, Elsevier, vol. 332(C).
    7. Katarzyna Turoń & Andrzej Kubik & Feng Chen & Hualan Wang & Bogusław Łazarz, 2020. "A Holistic Approach to Electric Shared Mobility Systems Development—Modelling and Optimization Aspects," Energies, MDPI, vol. 13(21), pages 1-19, November.
    8. 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).
    9. Hosseinzadeh, Aryan & Algomaiah, Majeed & Kluger, Robert & Li, Zhixia, 2021. "Spatial analysis of shared e-scooter trips," Journal of Transport Geography, Elsevier, vol. 92(C).
    10. Monika Hamerska & Monika Ziółko & Patryk Stawiarski, 2022. "A Sustainable Transport System—The MMQUAL Model of Shared Micromobility Service Quality Assessment," Sustainability, MDPI, vol. 14(7), pages 1-18, March.
    11. Yu, Qing & Xie, Yingkun & Li, Weifeng & Zhang, Haoran & Liu, Xiaolei & Shang, Wen-Long & Chen, Jinyu & Yang, Dongyuan & Yan, Jinyue, 2022. "GPS data in urban bicycle-sharing: Dynamic electric fence planning with assessment of resource-saving and potential energy consumption increasement," Applied Energy, Elsevier, vol. 322(C).
    12. Ouassim Manout & Azise Oumar Diallo & Thibault Gloriot, 2023. "Implications of pricing and fleet size strategies on shared bikes and e-scooters: a case study from Lyon, France," Working Papers hal-04017908, HAL.
    13. Bi, Hui & Gao, Hui & Li, Aoyong & Ye, Zhirui, 2024. "Using topic modeling to unravel the nuanced effects of built environment on bicycle-metro integrated usage," Transportation Research Part A: Policy and Practice, Elsevier, vol. 185(C).
    14. Krauss, Konstantin & Gnann, Till & Burgert, Tobias & Axhausen, Kay W., 2024. "Faster, greener, scooter? An assessment of shared e-scooter usage based on real-world driving data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 181(C).
    15. Lidong Zhu & Mujahid Ali & Elżbieta Macioszek & Mahdi Aghaabbasi & Amin Jan, 2022. "Approaching Sustainable Bike-Sharing Development: A Systematic Review of the Influence of Built Environment Features on Bike-Sharing Ridership," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    16. Kyoungok Kim, 2024. "Discovering spatiotemporal usage patterns of a bike-sharing system by type of pass: a case study from Seoul," Transportation, Springer, vol. 51(4), pages 1373-1407, August.
    17. Gan, Zuoxian & Yang, Min & Zeng, Qingcheng & Timmermans, Harry J.P., 2021. "Associations between built environment, perceived walkability/bikeability and metro transfer patterns," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 171-187.
    18. Kyriakos Ketikidis & Apostolos Papagiannakis & Socrates Basbas, 2023. "Identifying and Modeling the Factors That Affect Bicycle Users’ Satisfaction," Sustainability, MDPI, vol. 15(18), pages 1-20, September.
    19. Ma, Xinwei & Ji, Yanjie & Yuan, Yufei & Van Oort, Niels & Jin, Yuchuan & Hoogendoorn, Serge, 2020. "A comparison in travel patterns and determinants of user demand between docked and dockless bike-sharing systems using multi-sourced data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 139(C), pages 148-173.
    20. Liu, Yixiao & Tian, Zihao & Pan, Baoran & Zhang, Wenbin & Liu, Yunqi & Tian, Lixin, 2022. "A hybrid big-data-based and tolerance-based method to estimate environmental benefits of electric bike sharing," Applied Energy, Elsevier, vol. 315(C).

    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:2023:i:17:p:13112-:d:1229823. 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.