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Optimization of bus stop layout considering multiple factors including passenger flow direction

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  • Guangchun Li
  • Lei Nie
  • Feng Gao
  • Zhenhuan He

Abstract

Bus stop layout typically requires consideration of urban population distribution, traffic conditions, and passenger flow demand to establish an efficient foundation for the bus system’s operation. Based on the above key factors, this paper introduces a strategic method to optimize the bus stop layout from a macro perspective in order to save passengers’ travel time and improve the attractiveness of the bus system. This approach accounts for the matching degree between the Origin-Destination (OD) direction of passengers and their walking direction heading to bus stops. Initially, we take into account factors such as the population and area of traffic districts, and urban road conditions. Utilizing the hypernetwork multidimensional data clustering method along with GIS technology, we construct an alternative set of bus stops based on the hypernetwork framework. This set serves as a reference for the positioning of newly built and moved bus stops. Subsequently, we develop a two-stage model for bus stop layout decision-making. The first stage focuses on determining the bus stop layout at the traffic district level, taking into account multi-factors including the passenger flow matching degree. The second stage is designed to mitigate the negative impact of bus stop optimization on the overall service level of the urban bus system. A case study conducted in XT city demonstrates the effectiveness of our approach. Post-optimization, there is a 15.83% increase in the alignment between passenger flow direction and bus stop layout. Additionally, the average travel time for passengers is reduced by 7.55 minutes.

Suggested Citation

  • 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.
  • Handle: RePEc:plo:pone00:0313040
    DOI: 10.1371/journal.pone.0313040
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    References listed on IDEAS

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    2. Tengfei Yuan & Hongjie Liu & Yawen Wang & Fengrui Yang & Qinyue Gu & Yizeng Wang, 2024. "Customized Bus Stop Location Model Based on Dual Population Adaptive Immune Algorithm," Mathematics, MDPI, vol. 12(15), pages 1-16, July.
    3. Maria Vittoria Corazza & Nicola Favaretto, 2019. "A Methodology to Evaluate Accessibility to Bus Stops as a Contribution to Improve Sustainability in Urban Mobility," Sustainability, MDPI, vol. 11(3), pages 1-23, February.
    4. Horner, Mark & Downs, Joni, 2014. "Integrating people and place: A density-based measure for assessing accessibility to opportunities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 23-40.
    5. Horner, Mark & Downs, Joni, 2014. "Integrating people and place: A density-based measure for assessing accessibility to opportunities," The Journal of Transport and Land Use, Center for Transportation Studies, University of Minnesota, vol. 7(2), pages 1-18.
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