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Resilience conceptual framework for assessing the performance of transit service

Author

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  • Justin S. Chang
  • Dongjae Jung
  • Seohee Jun
  • Hyerim Oh

Abstract

Traditionally, the performance of transit service has been assessed using the framework of level of service or quality of service. This study proposes a novel platform for evaluating performance in the context of resilience. The term resilience represents the ability of a system to absorb and recover from shocks. The concept is thus useful to monitor the degradation and recovery of transit service. This new model is applied to Seoul Metro Line 7 using frequency as the service attribute that could degrade due to a system shock. An empirical study analysing train operations data assesses the dynamic and disaggregate nature of performance of transit service. This feature is understood to add useful insights to the existing evaluation frameworks because the proposed approach can represent the real and perceived performance of transit service. The performance using this framework is impacted by distance from the terminal stations and time-of-day characteristics. Three issues including the level of demand, the form of indicator, and the time unit of analysis are also discussed. Finally, recommendations for further studies, particularly around the theme of factors affecting the performance of transit service and a comparative analysis between the proposed framework and the conventional approaches involving level of service and quality of service, are presented.

Suggested Citation

  • Justin S. Chang & Dongjae Jung & Seohee Jun & Hyerim Oh, 2020. "Resilience conceptual framework for assessing the performance of transit service," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 24(3), pages 339-353, July.
  • Handle: RePEc:taf:rjusxx:v:24:y:2020:i:3:p:339-353
    DOI: 10.1080/12265934.2019.1687319
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    Cited by:

    1. Chen, Jinqu & Liu, Jie & Peng, Qiyuan & Yin, Yong, 2022. "Resilience assessment of an urban rail transit network: A case study of Chengdu subway," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 586(C).
    2. Mindaugas Butkus & Giovanni Schiuma & Ilona Bartuseviciene & Ona Grazina Rakauskiene & Lina Volodzkiene & Laura Dargenyte-Kacileviciene, 2023. "The impact of organizational resilience on the quality of public services: Application of structural equation modeling," Equilibrium. Quarterly Journal of Economics and Economic Policy, Institute of Economic Research, vol. 18(2), pages 461-489, June.

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