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Disaster Risk Assessment Scheme—A Road System Survey for Budapest

Author

Listed:
  • Tibor Sipos

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
    Directorate for Research and Innovation, KTI Institute for Transport Sciences Nonprofit Ltd., 1119 Budapest, Hungary)

  • Zsombor Szabó

    (Department of Transport Technology and Economics, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary
    Directorate for Public Transport Services, KTI Institute for Transport Sciences Nonprofit Ltd., 1119 Budapest, Hungary)

  • Mohammed Obaid

    (Department of Automotive Technology, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

  • Árpád Török

    (Department of Automotive Technology, Faculty of Transportation Engineering and Vehicle Engineering, Budapest University of Technology and Economics, 1111 Budapest, Hungary)

Abstract

This study presents a method to analyze the most critical elements of the public road system concerning outer effects which hinder the normal operation of the whole system. The surveyed public road network in Budapest, Hungary is studied as a graph: Dijkstra’s algorithm is applied to find the shortest path, and the Boykov-Kolmogorov method is used to calculate the maximum flow of the network. Those elements are identified whose damage can critically influence the operation of the network, and where the infrastructure available for rescue teams has a bottleneck. Finally, the Wilcoxon post hoc test was applied with Bonferroni correction. The tests have proven that the new method can successfully identify the critical vulnerabilities of the network to determine its weak points by considering reduced road capacities and the increased needs for transportation arising due to a disaster. This pilot study confirmed that after the elimination of the problems in statistical methods, the new framework can robustly identify those road network elements whose development is of key importance from a disaster management perspective.

Suggested Citation

  • Tibor Sipos & Zsombor Szabó & Mohammed Obaid & Árpád Török, 2023. "Disaster Risk Assessment Scheme—A Road System Survey for Budapest," Sustainability, MDPI, vol. 15(8), pages 1-18, April.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:8:p:6777-:d:1125735
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    References listed on IDEAS

    as
    1. Huang, Wencheng & Zhang, Rui & Xu, Minhao & Yu, Yaocheng & Xu, Yifei & De Dieu, Gatesi Jean, 2020. "Risk state changes analysis of railway dangerous goods transportation system: Based on the cusp catastrophe model," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    2. Hosseini, S. Davod & Verma, Manish, 2018. "Conditional value-at-risk (CVaR) methodology to optimal train configuration and routing of rail hazmat shipments," Transportation Research Part B: Methodological, Elsevier, vol. 110(C), pages 79-103.
    3. Rehak, David & Senovsky, Pavel & Hromada, Martin & Lovecek, Tomas, 2019. "Complex approach to assessing resilience of critical infrastructure elements," International Journal of Critical Infrastructure Protection, Elsevier, vol. 25(C), pages 125-138.
    4. Hu, Shaolong & Han, Chuanfeng & Dong, Zhijie Sasha & Meng, Lingpeng, 2019. "A multi-stage stochastic programming model for relief distribution considering the state of road network," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 64-87.
    5. Li, Ruiying & Gao, Ying, 2022. "On the component resilience importance measures for infrastructure systems," International Journal of Critical Infrastructure Protection, Elsevier, vol. 36(C).
    6. Tibor Sipos & Anteneh Afework Mekonnen & Zsombor Szabó, 2021. "Spatial Econometric Analysis of Road Traffic Crashes," Sustainability, MDPI, vol. 13(5), pages 1-16, February.
    Full references (including those not matched with items on IDEAS)

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