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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
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    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.
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    Citations

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    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.

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