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Quantifying Bus Accessibility and Mobility for Urban Branches: A Reliability Modeling Approach

Author

Listed:
  • Pei Tong

    (School of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Wenjing Du

    (School of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Yadan Yan

    (School of Civil Engineering, Zhengzhou University, Zhengzhou 450001, China)

  • Junsheng Li

    (Henan Urban Plan & Design Institute Co., Ltd., Zhengzhou 450044, China)

Abstract

In order to quantitatively assess the realization degree of urban branch road function, an evaluation method based on reliability theory was established. Firstly, the main characteristics of urban branch road functions, that is, emphasizing accessibility while maintaining mobility, were analyzed. Based on common road network patterns, the branch road network between adjacent higher-level roads was selected as the research object. Public transportation, which is more representative of accessibility, was considered in the evaluation method. Then, a reliability model for branch road function evaluation was proposed, in which walking distance and travel time by bus were taken as the main indicators. Combining Dijkstra algorithm and Monte Carlo simulation, the model was solved. The feasibility of the method was verified through a case study of two branch road units. Then, influences of road network density, connectivity, and bus route layout on the reliability of branch road unit functions were clarified by sensitivity analysis. Results showed that the reliability of the branch unit exhibited a trend of initially increasing and then decreasing with the growth of road network density and connectivity, which indicated that excessively high road network density may hinder the performance of the branch road unit. Adjusting the layout of bus routes within branch road units and expanding the service area of bus routes can enhance reliability. Finally, some suggestions for optimizing branch road unit reliability were provided.

Suggested Citation

  • Pei Tong & Wenjing Du & Yadan Yan & Junsheng Li, 2023. "Quantifying Bus Accessibility and Mobility for Urban Branches: A Reliability Modeling Approach," Sustainability, MDPI, vol. 15(22), pages 1-17, November.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:22:p:15770-:d:1276769
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    References listed on IDEAS

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    1. Xu, Xiangdong & Chen, Anthony & Jansuwan, Sarawut & Yang, Chao & Ryu, Seungkyu, 2018. "Transportation network redundancy: Complementary measures and computational methods," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 68-85.
    2. Leurent, Fabien M., 1997. "Curbing the computational difficulty of the logit equilibrium assignment model," Transportation Research Part B: Methodological, Elsevier, vol. 31(4), pages 315-326, August.
    3. Ehab I. Diab & Madhav G. Badami & Ahmed M. El-Geneidy, 2015. "Bus Transit Service Reliability and Improvement Strategies: Integrating the Perspectives of Passengers and Transit Agencies in North America," Transport Reviews, Taylor & Francis Journals, vol. 35(3), pages 292-328, May.
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