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Highway network restoration after the great flood in Thailand

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  • Ponlathep Lertworawanich

Abstract

Flood is one of the common natural phenomena anywhere. In the second half of 2011, Thailand has recently faced with the most devastating flood of her modern history. More than 3,330 national highways are damaged by this flood. Some roads are heavily destroyed while others are partially damaged and emergency relieves cannot access to the flooded areas. Food and medicine distribution in the central part of the country has by large been disrupted. As a consequence, highway restoration is an urgent responsibility of road authorities. This study presents the sequential highway network restoration decision model when budgets and resources are unknown. Highways are restored one by one in sequence. To determine an optimal restoration sequence, the model is formulated as a dynamic program where the primary objective is to sequentially restore roadways to minimize the travel demand loss for the disconnected network. Once the network is connected, the secondary objective is to sequentially restore roadways to minimize the network travel time where traffic assignment onto the network is based on user equilibrium concept. The heuristic solution method using particle swarm optimization technique is provided for practical size problems. A sample network is examined to investigate the solution characteristics. It is found that the proposed algorithm can provide good practical solutions to the sequential highway network recovery problems and is incorporated to the Thailand highway maintenance management system. Copyright Springer Science+Business Media B.V. 2012

Suggested Citation

  • Ponlathep Lertworawanich, 2012. "Highway network restoration after the great flood in Thailand," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 64(1), pages 873-886, October.
    • Handle: RePEc:spr:nathaz:v:64:y:2012:i:1:p:873-886
    DOI: 10.1007/s11069-012-0278-2
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    References listed on IDEAS

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    Cited by:

    1. Chao Fang & Xiangxiang Liao & Min Xie, 2016. "A hybrid risks-informed approach for the selection of supplier portfolio," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2019-2034, April.
    2. Milad Zamanifar & Timo Hartmann, 2020. "Optimization-based decision-making models for disaster recovery and reconstruction planning of transportation networks," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 104(1), pages 1-25, October.
    3. M. Kubilay Kelesoglu & Rasim Temur & Sezar Gülbaz & Nurdan Memisoglu Apaydin & Cevza Melek Kazezyılmaz-Alhan & Ilknur Bozbey, 2023. "Site assessment and evaluation of the structural damages after the flood disaster in the Western Black Sea Basin on August 11, 2021," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 587-618, March.

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