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Time-Varying Disaster Recovery Model For Interdependent Economic Systems Using Hybrid Input--Output And Event Tree Analysis

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  • Joost R. Santos
  • Krista Danielle S. Yu
  • Sheree Ann T. Pagsuyoin
  • Raymond R. Tan

Abstract

Disasters damage physical infrastructure systems, disrupt the movement of people and commodities, and cause significant economic losses. This paper develops an I--O model extension using an event tree analysis to assess the propagation of disaster effects across interdependent economic sectors using the inoperability and economic loss metrics. Inoperability, a dimensionless index that ranges between 0 and 1, indicates the extent to which a sector's production deviates below its normal state. On the other hand, economic loss is the monetary worth of the drop in output incurred in each sector of the economy due to the disaster. The new dynamic I--O extension is capable of adjusting the inoperability parameters within the disaster timeline to reflect events that can either degrade or enhance the predicted paths of sector recovery. It was implemented to the Nashville region -- a metropolitan area in the USA known for its vibrant music and the tourism industry. The Nashville region is frequently hit by natural disasters such as tornadoes and floods, which makes it a suitable case study site for the model application. Results of the study can help identify critical economic sectors and ultimately provide insights for formulating preparedness decisions to expedite disaster recovery.

Suggested Citation

  • Joost R. Santos & Krista Danielle S. Yu & Sheree Ann T. Pagsuyoin & Raymond R. Tan, 2014. "Time-Varying Disaster Recovery Model For Interdependent Economic Systems Using Hybrid Input--Output And Event Tree Analysis," Economic Systems Research, Taylor & Francis Journals, vol. 26(1), pages 60-80, March.
  • Handle: RePEc:taf:ecsysr:v:26:y:2014:i:1:p:60-80
    DOI: 10.1080/09535314.2013.872602
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    Cited by:

    1. Samuel Juhel & Adrien Delahais & Vincent Viguie, 2023. "Robustness of the evaluation of indirect costs of natural disasters: example of the ARIO model," CIRED Working Papers hal-04196749, HAL.
    2. David Nortes Martínez & Frédéric Grelot & Pauline Bremond & Stefano Farolfi & Juliette Rouchier, 2021. "Are interactions important in estimating flood damage to economic entities? The case of wine-making in France," Post-Print hal-03609616, HAL.
    3. Monge, Juan J. & McDonald, Garry W., 2020. "The Economy-Wide Value-at-Risk from the Exposure of Natural Capital to Climate Change and Extreme Natural Events: The Case of Wind Damage and Forest Recreational Services in New Zealand," Ecological Economics, Elsevier, vol. 176(C).
    4. Surís-Regueiro, Juan C. & Santiago, Jose L., 2018. "Assessment of Socioeconomic Impacts Through Physical Multipliers: The Case of Fishing Activity in Galicia (Spain)," Ecological Economics, Elsevier, vol. 147(C), pages 276-297.
    5. Oosterhaven, Jan, 2015. "On the doubtful usability of the inoperability IO model," Research Report 15008-EEF, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    6. Ekundayo Shittu & Geoffrey Parker & Nancy Mock, 2018. "Improving communication resilience for effective disaster relief operations," Environment Systems and Decisions, Springer, vol. 38(3), pages 379-397, September.
    7. Sheree A Pagsuyoin & Joost R Santos, 2021. "Modeling regional impacts and resilience to water service disruptions in urban economies," Environment and Planning B, , vol. 48(5), pages 1058-1074, June.
    8. Chopra, Shauhrat S. & Khanna, Vikas, 2015. "Interconnectedness and interdependencies of critical infrastructures in the US economy: Implications for resilience," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 436(C), pages 865-877.
    9. Mitchel Stimers & Bimal Kanti Paul, 2023. "Visualizing the May 22, 2011, Joplin, Missouri, Tornado path using building permits," 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. 115(2), pages 1461-1474, January.
    10. Kourtit, Karima & Nijkamp, Peter & Banica, Alexandru, 2023. "An analysis of natural disasters’ effects – A global comparative study of ‘Blessing in Disguise’," Socio-Economic Planning Sciences, Elsevier, vol. 88(C).
    11. Balster, Andreas & Friedrich, Hanno, 2019. "Dynamic freight flow modelling for risk evaluation in food supply," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 121(C), pages 4-22.

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