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Assessing Vulnerability of Transportation Networks for Disaster Response Operations

Author

Listed:
  • Victor Cantillo

    (Universidad del Norte)

  • Luis F. Macea

    (Universidad del Norte
    Pontificia Universidad Javeriana de Cali)

  • Miguel Jaller

    (University of California, Davis)

Abstract

Transportation networks and systems are vulnerable to natural disasters. During disaster response operations, the degraded functionality of the system can negatively impact the affected population because disrupting relief activitiesincreases human suffering resulting from the lack of access to essential goods or services. Mathematical formulations for assessing transportation network vulnerability do not generally consider this lack of access or deprivation costs, and can lead to inappropriate strategies for humanitarian assistance. This paper proposes a transportation network vulnerability assessment model that allows identifying critical links for the development of high impact disaster response operations. The model is based on an economic analysis that considers the logistical costs of the distribution operations and the external effects derived from the delays in the provision of basic supplies (deprivation costs). The approach is particularly useful for planning resilient disaster response plans in the preparednessstage, prioritizing investment for mitigation and adaptation, and prioritizing the rehabilitation (access restoration) of the disrupted links in the response and recovery stages. In addition to numerical experiments using case study networks, the authors implemented the model to the coffee-producing region of Colombia, which was hit by an earthquake in 1999.

Suggested Citation

  • Victor Cantillo & Luis F. Macea & Miguel Jaller, 2019. "Assessing Vulnerability of Transportation Networks for Disaster Response Operations," Networks and Spatial Economics, Springer, vol. 19(1), pages 243-273, March.
  • Handle: RePEc:kap:netspa:v:19:y:2019:i:1:d:10.1007_s11067-017-9382-x
    DOI: 10.1007/s11067-017-9382-x
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    3. Diehlmann, Florian & Hiemsch, Patrick S. & Wiens, Marcus & Lüttenberg, Markus & Schultmann, Frank, 2020. "A novel approach to include social costs in humanitarian objective functions," Working Paper Series in Production and Energy 52, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
    4. Chen, Hengrui & Zhou, Ruiyu & Chen, Hong & Lau, Albert, 2022. "A resilience-oriented evaluation and identification of critical thresholds for traffic congestion diffusion," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 600(C).
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    8. Pahwa, Anmol & Jaller, Miguel, 2023. "Assessing last-mile distribution resilience under demand disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    9. Cotes, Nathalie & Cantillo, Victor, 2019. "Including deprivation costs in facility location models for humanitarian relief logistics," Socio-Economic Planning Sciences, Elsevier, vol. 65(C), pages 89-100.
    10. Tarhan, İstenç & Zografos, Konstantinos G. & Sutanto, Juliana & Kheiri, Ahmed, 2024. "A quadrant shrinking heuristic for solving the dynamic multi-objective disaster response personnel routing and scheduling problem," European Journal of Operational Research, Elsevier, vol. 314(2), pages 776-791.
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