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Travel Time Reliability Analysis Considering Bus Bunching: A Case Study in Xi’an, China

Author

Listed:
  • Yanan Zhang

    (School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China)

  • Hongke Xu

    (School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China)

  • Qing-Chang Lu

    (School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China)

  • Xiaohui Fan

    (School of Electronic and Control Engineering, Chang’an University, Xi’an 710064, China)

Abstract

Bus bunching occurring at stops has an unstable impact on bus travel time. In order to evaluate urban bus travel time effectively, the travel time reliability (TTR) addressing bus bunching is analyzed. This paper focuses on the delayed time caused by bus bunching in the dwelling process at bus stops and uses the coefficient of variation of time headway to evaluate the degree of bus bunching. Moreover, the travel time deviation (TTD) indicator and travel time on-time accuracy (OTA) model are proposed to evaluate the bus TTR. The proposed model is used to analyze 113 runs of a bus route in Xi’an city, China. Real-time GPS data are used to analyze the operation of each run from the origin to the destination stops. The results show that 74.34% of the runs are delayed. When the value of TTD is higher than |0.1|, 64.2% of runs are delayed with bus bunching. Based on the measuring of OTA in two situations, the value of TTR considering bus bunching is reduced by 20%. In addition, the number of stopping routes at peak periods has a significant impact on the occurrence of bus bunching. The research results would have practical implications for the operation and management of buses.

Suggested Citation

  • Yanan Zhang & Hongke Xu & Qing-Chang Lu & Xiaohui Fan, 2022. "Travel Time Reliability Analysis Considering Bus Bunching: A Case Study in Xi’an, China," Sustainability, MDPI, vol. 14(23), pages 1-15, November.
  • Handle: RePEc:gam:jsusta:v:14:y:2022:i:23:p:15583-:d:981730
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    References listed on IDEAS

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    1. Delgado, Felipe & Munoz, Juan Carlos & Giesen, Ricardo, 2012. "How much can holding and/or limiting boarding improve transit performance?," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1202-1217.
    2. Phillips, William & del Rio, Andrés & Muñoz, Juan Carlos & Delgado, Felipe & Giesen, Ricardo, 2015. "Quantifying the effects of driver non-compliance and communication system failure in the performance of real-time bus control strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 78(C), pages 463-472.
    3. Xuemei Zhou & Yehan Wang & Xiangfeng Ji & Caitlin Cottrill, 2019. "Coordinated Control Strategy for Multi-Line Bus Bunching in Common Corridors," Sustainability, MDPI, vol. 11(22), pages 1-23, November.
    4. Wanxiang Wang & Ruijun Guo, 2022. "Travel Time Reliability of Highway Network under Multiple Failure Modes," Sustainability, MDPI, vol. 14(12), pages 1-18, June.
    5. Liu, Henry X. & Recker, Will & Chen, Anthony, 2004. "Uncovering the contribution of travel time reliability to dynamic route choice using real-time loop data," Transportation Research Part A: Policy and Practice, Elsevier, vol. 38(6), pages 435-453, July.
    6. Xiao Fu & William H. K. Lam, 2018. "Modelling joint activity-travel pattern scheduling problem in multi-modal transit networks," Transportation, Springer, vol. 45(1), pages 23-49, January.
    7. Liu, Zhiyuan & Chen, Xinyuan & Meng, Qiang & Kim, Inhi, 2018. "Remote park-and-ride network equilibrium model and its applications," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 37-62.
    8. Anderson, Paul & Daganzo, Carlos F., 2020. "Effect of transit signal priority on bus service reliability," Transportation Research Part B: Methodological, Elsevier, vol. 132(C), pages 2-14.
    9. Gu, Yu & Fu, Xiao & Liu, Zhiyuan & Xu, Xiangdong & Chen, Anthony, 2020. "Performance of transportation network under perturbations: Reliability, vulnerability, and resilience," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    10. Daganzo, Carlos F. & Pilachowski, Josh, 2011. "Reducing bunching with bus-to-bus cooperation," Transportation Research Part B: Methodological, Elsevier, vol. 45(1), pages 267-277, January.
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    Cited by:

    1. Yanan Zhang & Hongke Xu & Qing-Chang Lu & Shan Lin & Jiacheng Song, 2023. "Vulnerability Analysis of Bus Network Based on Land-Use Type of Bus Stops: The Case of Xi’an, China," Sustainability, MDPI, vol. 15(16), pages 1-18, August.

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