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Transportation network reliability in emergency response

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  • Edrissi, Ali
  • Nourinejad, Mehdi
  • Roorda, Matthew J.

Abstract

Distribution of humanitarian supplies is vital in saving lives during disasters. Investment in retrofitting critical transportation links reduces casualties as intact links improve flow of relief supplies. In finding critical links, link importance values are derived using the concept of network reliability. A network improvement problem is then solved to minimize death toll. To increase practicality, a heuristic algorithm is proposed to solve real size problems. Results show that initial incremental investments in network improvement are more profound in reducing the death toll than higher budget increments. Moreover, higher relief inventories reduce the death toll when the network is reliable.

Suggested Citation

  • Edrissi, Ali & Nourinejad, Mehdi & Roorda, Matthew J., 2015. "Transportation network reliability in emergency response," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 56-73.
    • Handle: RePEc:eee:transe:v:80:y:2015:i:c:p:56-73
    DOI: 10.1016/j.tre.2015.05.005
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    18. Kundu, Tanmoy & Sheu, Jiuh-Biing & Kuo, Hsin-Tsz, 2022. "Emergency logistics management—Review and propositions for future research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    19. Cui, Hongjun & Wang, Fei & Li, Xia & Zhu, Minqing, 2020. "Reinforcement and optimization of seismic connectivity of key transportation hubs based on minimum cost," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 540(C).
    20. Sasai, Kotaro & Chouinard, Luc E. & Power, Gabriel J. & Conciatori, David & Zufferey, Nicolas, 2024. "Accounting for traffic disturbance in road infrastructure management: Optimal maintenance and rehabilitation planning for the society," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    21. Hu, Shao-Long & Han, Chuan-Feng & Meng, Ling-Peng, 2016. "Stochastic optimization for investment in facilities in emergency prevention," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 14-31.

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