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A Bi-Level Programming Model for Optimal Bus Stop Spacing of a Bus Rapid Transit System

Author

Listed:
  • Gang Cheng

    (College of Engineering, Tibet University, Lhasa 850000, China
    College of Transportation, Jilin University, Changchun 130000, China)

  • Shuzhi Zhao

    (College of Transportation, Jilin University, Changchun 130000, China)

  • Tao Zhang

    (Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210000, China)

Abstract

The purpose of this study is to create a bi-level programming model for the optimal bus stop spacing of a bus rapid transit (BRT) system, to ensure simultaneous coordination and consider the interests of bus companies and passengers. The top-level model attempts to optimize and determine optimal bus stop spacing to minimize the equivalent costs, including wait, in-vehicle, walk, and operator costs, while the bottom-level model reveals the relation between the locations of stops and spatial service coverage to attract an increasing number of passengers. A case study of Chengdu, by making use of a genetic algorithm, is presented to highlight the validity and practicability of the proposed model and analyze the sensitivity of the coverage coefficient, headway, and speed with different spacing between bus stops.

Suggested Citation

  • Gang Cheng & Shuzhi Zhao & Tao Zhang, 2019. "A Bi-Level Programming Model for Optimal Bus Stop Spacing of a Bus Rapid Transit System," Mathematics, MDPI, vol. 7(7), pages 1-14, July.
    • Handle: RePEc:gam:jmathe:v:7:y:2019:i:7:p:625-:d:248259
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    References listed on IDEAS

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    1. Jiayi Li & Zhaocheng He & Jiaming Zhong, 2022. "The Multi-Type Demands Oriented Framework for Flex-Route Transit Design," Sustainability, MDPI, vol. 14(15), pages 1-23, August.

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