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Assessing resilience in a regional road-based transportation network

Author

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  • Mayada Omer
  • Ali Mostashari
  • Roshanak Nilchiani

Abstract

Resilience deals with the response of the system in the face of shock and its ability to continue to provide the expected service delivery levels. In the transportation infrastructure, system shocks due to man-made and natural causes occur frequently and result in substantial economic losses; it is therefore crucial to enhance the resilience of this infrastructure. Improving the resilience of systems creates a need for developing metrics that measure the current resilience of the system and provides a benchmark for evaluating different strategies for improving resilience. In this paper, we propose a framework for assessing the resilience of a regional road network. The methodology introduced in this paper is the Networked Infrastructure Resilience Assessment (NIRA) framework, which allows decision-makers to assess the resilience of networked infrastructures from a multi-metric perspective. The resilience metrics measure the impact of disruptions on the system performance measures. The three identified metrics for road networks are the travel time resilience, environmental resilience and cost resilience. The resilience values are measured by introducing hypothetical disruptions to a network model of a regional transportation network. The NIRA framework is applied to the transportation corridor between Boston and New York City. We also investigate the impact of disruptions on the traveller's mode choice.

Suggested Citation

  • Mayada Omer & Ali Mostashari & Roshanak Nilchiani, 2013. "Assessing resilience in a regional road-based transportation network," International Journal of Industrial and Systems Engineering, Inderscience Enterprises Ltd, vol. 13(4), pages 389-408.
    • Handle: RePEc:ids:ijisen:v:13:y:2013:i:4:p:389-408
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    Citations

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    Cited by:

    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. Cook, Andrew & Delgado, Luis & Tanner, Graham & Cristóbal, Samuel, 2016. "Measuring the cost of resilience," Journal of Air Transport Management, Elsevier, vol. 56(PA), pages 38-47.
    3. Gonçalves, L.A.P.J. & Ribeiro, P.J.G., 2020. "Resilience of urban transportation systems. Concept, characteristics, and methods," Journal of Transport Geography, Elsevier, vol. 85(C).
    4. Haritha, P.C. & Anjaneyulu, M.V.L.R., 2024. "Comparison of topological functionality-based resilience metrics using link criticality," Reliability Engineering and System Safety, Elsevier, vol. 243(C).
    5. Dmitry Borisoglebsky & Liz Varga, 2019. "A Resilience Toolbox and Research Design for Black Sky Hazards to Power Grids," Complexity, Hindawi, vol. 2019, pages 1-15, June.
    6. Rahimi-Golkhandan, Armin & Garvin, Michael J. & Brown, Bryan L., 2019. "Characterizing and measuring transportation infrastructure diversity through linkages with ecological stability theory," Transportation Research Part A: Policy and Practice, Elsevier, vol. 128(C), pages 114-130.
    7. Yin, Kai & Wu, Jianjun & Wang, Weiping & Lee, Der-Horng & Wei, Yun, 2023. "An integrated resilience assessment model of urban transportation network: A case study of 40 cities in China," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).
    8. Milan Janić, 2018. "Modelling the resilience of rail passenger transport networks affected by large-scale disruptive events: the case of HSR (high speed rail)," Transportation, Springer, vol. 45(4), pages 1101-1137, July.
    9. Chen, Sai & Zhang, Ming & Ding, Yueting & Nie, Rui, 2020. "Resilience of China's oil import system under external shocks: A system dynamics simulation analysis," Energy Policy, Elsevier, vol. 146(C).
    10. Sohouenou, Philippe Y.R. & Christidis, Panayotis & Christodoulou, Aris & Neves, Luis A.C. & Presti, Davide Lo, 2020. "Using a random road graph model to understand road networks robustness to link failures," International Journal of Critical Infrastructure Protection, Elsevier, vol. 29(C).
    11. Jakšić, Zoran & Janić, Milan, 2020. "Modeling resilience of the ATC (Air Traffic Control) sectors," Journal of Air Transport Management, Elsevier, vol. 89(C).
    12. Ma, Zhiao & Yang, Xin & Wu, Jianjun & Chen, Anthony & Wei, Yun & Gao, Ziyou, 2022. "Measuring the resilience of an urban rail transit network: A multi-dimensional evaluation model," Transport Policy, Elsevier, vol. 129(C), pages 38-50.
    13. Aghababaei, Mohammad T. (Siavash) & Costello, Seosamh B. & Ranjitkar, Prakash, 2021. "Measures to evaluate post-disaster trip resilience on road networks," Journal of Transport Geography, Elsevier, vol. 95(C).
    14. Sohouenou, Philippe Y.R. & Neves, Luis A.C., 2021. "Assessing the effects of link-repair sequences on road network resilience," International Journal of Critical Infrastructure Protection, Elsevier, vol. 34(C).

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