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LINES: muLtImodal traNsportation rEsilience analySis

Author

Listed:
  • Joao Tiago Aparicio

    (INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, 1000-029 Lisboa, Portugal)

  • Elisabete Arsenio

    (LNEC, Department of Transport, Av. do Brasil 101, 1700-075 Lisboa, Portugal)

  • Francisco C. Santos

    (INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, 1000-029 Lisboa, Portugal)

  • Rui Henriques

    (INESC-ID and Instituto Superior Técnico, Universidade de Lisboa, 1000-029 Lisboa, Portugal)

Abstract

This study aims to contribute to more sustainable mobility solutions by proposing robust and actionable methods to assess the resilience of a multimodal transport system. Resilience is seen in a dynamic lean setting, looking at aspects in the network topology and user’s flow and demand throughout a parameterizable period. We hypothesize that this network’s appropriate multi-layered and traffic-sensitive modeling can promote the integrated analysis of different transport modes and support an improved resilience analysis. We operationalize the lean resilience conceptual construct with the proposed muLtImodal traNsportation rEsilience aSsessment (LINES) methodological process. Using the city of Lisbon as a study case, we illustrate the relevance of the proposed methodology to detect actionable vulnerabilities in the bus–tram–subway network.

Suggested Citation

  • Joao Tiago Aparicio & Elisabete Arsenio & Francisco C. Santos & Rui Henriques, 2022. "LINES: muLtImodal traNsportation rEsilience analySis," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:13:p:7891-:d:850620
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    References listed on IDEAS

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    Cited by:

    1. Li, Jin-Yang & Teng, Jing & Wang, Hui, 2024. "Measuring route diversity in spatial and spatial-temporal public transport networks," Transport Policy, Elsevier, vol. 146(C), pages 42-58.

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