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An integrated measure of accessibility and reliability of mass transit systems

Author

Listed:
  • Hyun Kim

    (University of Tennessee)

  • Yena Song

    (Chonnam National University)

Abstract

The growth of a city or a metropolis requires well-functioning transit systems to accommodate the ensuing increase in travel demand. As a result, mass transit networks have to develop and expand from simple to complex topological systems over time to meet this demand. Such an evolution in the networks’ structure entails not only a change in network accessibility, but also a change in the level of network reliability on the part of stations and the entire system as well. Network accessibility and reliability are popular measures that have been widely applied to evaluate the resilience and vulnerability of a spatially networked system. However, the use of a single measure, either accessibility or reliability, provides different results, which demand an integrated measure to evaluate the network’s performance comprehensively. In this paper, we propose a set of integrated measures, named ACCREL (Integrated Accessibility and Reliability indicators) that considers both metrics in combination to evaluate a network’s performance and vulnerability. We apply the new measures for hypothetical mass transit system topologies, and a case study of the metro transit system in Seoul follows, highlighting the dynamics of network performance with four evolutionary stages. The main contribution of this study lies in the results from the experiments, which can be used to inform how transport network planning can be prepared to enhance the network functionality, thereby achieving a well-balanced, accessible, and reliable system. Insights on network vulnerability are also drawn for public transportation planners and spatial decision makers.

Suggested Citation

  • Hyun Kim & Yena Song, 2018. "An integrated measure of accessibility and reliability of mass transit systems," Transportation, Springer, vol. 45(4), pages 1075-1100, July.
    • Handle: RePEc:kap:transp:v:45:y:2018:i:4:d:10.1007_s11116-018-9866-7
    DOI: 10.1007/s11116-018-9866-7
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    References listed on IDEAS

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    3. Bree, Sarah & Fuller, Daniel & Diab, Ehab, 2020. "Access to transit? Validating local transit accessibility measures using transit ridership," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 430-442.
    4. Liu, Jie & He, Mingwei & Schonfeld, Paul M. & Kato, Hironori & Li, Anjun, 2022. "Measures of accessibility incorporating time reliability for an urban rail transit network: A case study in Wuhan, China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 165(C), pages 471-489.
    5. Zack Aemmer & Andisheh Ranjbari & Don MacKenzie, 2022. "Measurement and classification of transit delays using GTFS-RT data," Public Transport, Springer, vol. 14(2), pages 263-285, June.
    6. Annunziata Esposito Amideo & Stefano Starita & Maria Paola Scaparra, 2019. "Assessing Protection Strategies for Urban Rail Transit Systems: A Case-Study on the Central London Underground," Sustainability, MDPI, vol. 11(22), pages 1-21, November.
    7. Luyu Liu & Adam Porr & Harvey J. Miller, 2023. "Realizable accessibility: evaluating the reliability of public transit accessibility using high-resolution real-time data," Journal of Geographical Systems, Springer, vol. 25(3), pages 429-451, July.
    8. Qingjie Qi & Yangyang Meng & Xiaofei Zhao & Jianzhong Liu, 2022. "Resilience Assessment of an Urban Metro Complex Network: A Case Study of the Zhengzhou Metro," Sustainability, MDPI, vol. 14(18), pages 1-19, September.
    9. Kim, Hyun & Lee, Keumsook & Park, Jong Soo & Song, Yena, 2018. "Transit network expansion and accessibility implications: A case study of Gwangju metropolitan area, South Korea," Research in Transportation Economics, Elsevier, vol. 69(C), pages 544-553.
    10. Jiangang Shi & Shiping Wen & Xianbo Zhao & Guangdong Wu, 2019. "Sustainable Development of Urban Rail Transit Networks: A Vulnerability Perspective," Sustainability, MDPI, vol. 11(5), pages 1-24, March.
    11. Yera, Yoel G. & Lillo, Rosa E. & Nielsen, Bo F. & Ramírez-Cobo, Pepa & Ruggeri, Fabrizio, 2021. "A bivariate two-state Markov modulated Poisson process for failure modeling," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
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