IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i5p4517-d1086394.html
   My bibliography  Save this article

Study on Location of Bus Stop in Subway Service Area Based on Residents’ Travel Accessibility

Author

Listed:
  • Sini Wang

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Zhongyi Zuo

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

  • Yan Liu

    (School of Traffic and Transportation Engineering, Dalian Jiaotong University, Dalian 116028, China)

Abstract

This research aims at establishing an integrated urban public transport system with a subway route supplemented by conventional bus lines, in order to enable residents’ “door-to-door” travel. This paper first analyzed the attraction area of the subway, and then used the GIS tools to calculate and analyze residents’ accessibility to adjacent bus stops. Moreover, it created a preliminary layout of bus stops for residential areas with extremely low accessibility using an improved potential model. From the perspective of minimizing residents’ travel costs and bus stop infrastructure deployment costs, a bus stop site selection optimization model was developed. According to the characteristics of the model, the non-dominated sorting genetic algorithm II (NSGA-II) was employed to solve the optimal bus stop locations. In addition, the entropy weight technique for order of preference by similarity to ideal solution (TOPSIS) evaluation model was used to evaluate and sort candidate schemes, accordingly, and thus the optimal site selection scheme was identified. Finally, a before-after comparative analysis on residents’ travel accessibility was conducted. Results show that the proposed method can effectively improve residents’ accessibility to bus stops, which facilitates residents to transfer from conventional bus to subway. Furthermore, it provides a basis for the follow-up optimization of the connection between subway and conventional bus lines.

Suggested Citation

  • Sini Wang & Zhongyi Zuo & Yan Liu, 2023. "Study on Location of Bus Stop in Subway Service Area Based on Residents’ Travel Accessibility," Sustainability, MDPI, vol. 15(5), pages 1-16, March.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:5:p:4517-:d:1086394
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/5/4517/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/5/4517/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Fu Wang & Manqing Ye & Hongbin Zhu & Dengjun Gu, 2022. "Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    2. Borja Alonso & José Luis Moura & Angel Ibeas & Luigi dell'Olio, 2013. "Analytical model for calibrating delay at congested bus stops," Transportation Planning and Technology, Taylor & Francis Journals, vol. 36(6), pages 520-528, August.
    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. Haitao Su & Menghan Li & Xiaofeng Zhong & Kai Zhang & Jingkai Wang, 2023. "Estimating Public Transportation Accessibility in Metropolitan Areas: A Case Study and Comparative Analysis," Sustainability, MDPI, vol. 15(17), pages 1-22, 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. Wang, Tao & Huang, Li & Tian, Junfang & Zhang, Jing & Yuan, Zijian & Zheng, Jianfeng, 2024. "Bus dwell time estimation and overtaking maneuvers analysis: A stochastic process approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 186(C).
    2. Nithin Isaac & Akshay K. Saha, 2023. "A Review of the Optimization Strategies and Methods Used to Locate Hydrogen Fuel Refueling Stations," Energies, MDPI, vol. 16(5), pages 1-16, February.
    3. Pan Wu & Jinlong Li & Yuzhuang Pian & Xiaochen Li & Zilin Huang & Lunhui Xu & Guilin Li & Ruonan Li, 2022. "How Determinants Affect Transfer Ridership between Metro and Bus Systems: A Multivariate Generalized Poisson Regression Analysis Method," Sustainability, MDPI, vol. 14(15), pages 1-31, August.
    4. Xiaona Zhang & Fu Wang & Weidi Xu & Yin Wang & Jingwen Luo & Xinyu Chen & Manqing Ye, 2023. "Research on the Evaluation of Rail Transit Transfer System Based on the Time Value," Sustainability, MDPI, vol. 16(1), pages 1-25, December.
    5. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    6. Peiqing Li & Longlong Jiang & Shunfeng Zhang & Xi Jiang, 2022. "Demand Response Transit Scheduling Research Based on Urban and Rural Transportation Station Optimization," Sustainability, MDPI, vol. 14(20), pages 1-17, October.
    7. Hong Xu & Jin Zhao & Xincan Yu & Xiaoxia Mei & Xinle Zhang & Chuanjie Yan, 2023. "A Model Assembly Approach of Planning Urban–Rural Transportation Network: A Case Study of Jiangxia District, Wuhan, China," Sustainability, MDPI, vol. 15(15), pages 1-23, August.
    8. Lu Liu & Zhanglei Bian & Qinghui Nie, 2022. "Finding the Optimal Bus-Overtaking Rules for Bus Stops with Two Tandem Berths," Sustainability, MDPI, vol. 14(9), pages 1-14, April.

    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:5:p:4517-:d:1086394. 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.