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Optimization Method for Conventional Bus Stop Placement and the Bus Line Network Based on the Voronoi Diagram

Author

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  • Fu Wang

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Manqing Ye

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Hongbin Zhu

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

  • Dengjun Gu

    (School of Civil Engineering and Architecture, Wuhan Institute of Technology, Wuhan 430074, China)

Abstract

With the rapid development of the economy, the existing conventional bus transit system finds it difficult to meet people’s increasing travel needs. In addition, with the emergence and rapid development of urban rail transit, it is also necessary to integrate the existing conventional bus transit system with the rail transit system to realize the optimization of the whole public transport system. This study introduces the concept of the Voronoi diagram and uses it to divide the service area of bus stops. Taking the average walking time of regional passengers to the station as the main index, the convenience of passengers in the service area was evaluated, and a set of candidate station sites is established. Against the background of urban rail transit, a complete optimization model for a conventional bus station layout and line network was proposed. Finally, taking Wuhan East Lake High-tech Development Zone as an example, two optimization schemes for the public transport system were obtained. Compared with the status quo, the optimized scheme had obvious improvement effects on the repetition coefficient of bus lines, per capita transfer time, bus line network coverage and station service rate. This has been recognized by the local authorities, which proves the practicality and scientificity of the optimization method of this study.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7918-:d:851339
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    References listed on IDEAS

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    5. Amirgholy, Mahyar & Shahabi, Mehrdad & Gao, H. Oliver, 2017. "Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 103(C), pages 261-285.
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    Citations

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    Cited by:

    1. Boya Gao & Jie Liu, 2024. "Optimizing urban bus network based on spatial matching patterns for sustainable transportation: A case study in Harbin, China," PLOS ONE, Public Library of Science, vol. 19(10), pages 1-24, October.
    2. 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.
    3. 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.
    4. Guangchun Li & Lei Nie & Feng Gao & Zhenhuan He, 2024. "Optimization of bus stop layout considering multiple factors including passenger flow direction," PLOS ONE, Public Library of Science, vol. 19(11), pages 1-25, November.
    5. 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.
    6. 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.
    7. 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.
    8. Xudong Li & Zhongzhen Yang & Feng Lian, 2023. "Optimizing On-Demand Bus Services for Remote Areas," Sustainability, MDPI, vol. 15(9), pages 1-20, April.
    9. 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.

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