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A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach

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  • Hirokazu Tatano
  • Satoshi Tsuchiya

Abstract

This paper presents a framework for assessing the economic impact of disruption in transportation that can relate the physical damage to transportation networks to economic losses. A spatial computable general equilibrium (SCGE) model is formulated and then integrated with a transportation model that can estimate the traffic volumes of freight and passengers. Economic equilibrium under a disruption in the transportation network is computed subject to the condition that the adjustment of labor and capital inputs is restricted; the model reflects slow adjustment of these linked to the state of recovery. As a case study, the model reviews the large Niigata-Chuetsu earthquake of 2004. Considering the damage to the transportation infrastructure, the model indicates the extent of the economic losses arising from the earthquake distributed over regions as a consequence of the intra- and interregional trade in a regional economy. The results show that 20% of the indirect losses occur in the Niigata region directly affected by the earthquake, whereas 40% of the total losses are experienced in the Kanto region and non-negligible losses reach rather remote zones of the country such as Okinawa. Copyright Springer Science+Business Media B.V. 2008

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  • Hirokazu Tatano & Satoshi Tsuchiya, 2008. "A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach," 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. 44(2), pages 253-265, February.
  • Handle: RePEc:spr:nathaz:v:44:y:2008:i:2:p:253-265
    DOI: 10.1007/s11069-007-9151-0
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    16. Kilgarriff, Paul & McDermott, T.K.J. & Vega, Amaya & Morrissey , Karyn & O’Donoghue, Cathal, 2018. "Flooding disruption and the impact on the spatial distribution of commuter’s income," Working Papers 309608, National University of Ireland, Galway, Socio-Economic Marine Research Unit.
    17. 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).
    18. Wei Xie & Ning Li & Chunhua Li & Ji-dong Wu & Aijun Hu & Xiaolin Hao, 2014. "Quantifying cascading effects triggered by disrupted transportation due to the Great 2008 Chinese Ice Storm: implications for disaster risk management," 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. 70(1), pages 337-352, January.
    19. Guizhi Wang & Xia Li & Xianhua Wu & Jun Yu, 2015. "The rainstorm comprehensive economic loss assessment based on CGE model: using a July heavy rainstorm in Beijing as an example," 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. 76(2), pages 839-854, March.
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