A Case Study on Estimation of Business Interruption Losses to Industrial Sectors Due to Flood Disasters
Lijiao Yang*, Hirokazu Tatano**, Yoshio Kajitani***, and Xinyu Jiang**
*Graduate School of Informatics, Kyoto University
Gokasho, Uji, Kyoto 611-0011, Japan
**Disaster Prevention Research Institute, Kyoto University
Gokasho, Uji, Kyoto 611-0011, Japan
***Central Research Institute of Electric Power Industry
Abiko, Abiko-shi, Chiba 270-1194, Japan
The case study we present on estimating business interruption (BI) loss to industrial sectors due to floods in Aichi Prefecture, Japan, involves four steps – estimating the business interruption loss rate (BILR), estimating the spatial distribution of hazard information, identifying the spatial distribution of exposure such as firms and employees, and calculating BI loss based on the BILR, hazards, and exposure information as input. Validation was conducted by comparing estimated BI loss to economic loss calculated by an index of industrial production (IIP). We found that the proposed methodology quickly and feasibly estimates BI loss once water depth is obtained. Estimated BILR and BI loss in the industrial sector provides information enabling individual firms to formulate business continuity plans and design risk management strategies.
-  C. B. Field, V. Barros, and T. F. Stocker, “Managing the risks of extreme events and disasters to advance climate change adaptation,” Special report of the Intergovernmental Panel on Climate Change (IPCC), Intergovernmental Panel on Climate Change, Geneva (Switzerland); Cambridge University Press, 2012.
-  R. Mechler and L. M. Bouwer, “Understanding trends and projections of disaster losses and climate change: is vulnerability the missing link?” Climatic Change, pp. 1-13, 2014.
-  D. I. Smith, “Flood damage estimation – A review of urban stage-damage curves and loss functions,” Water S. A., Vol.20, No.3, pp. 231-238, 1994.
-  A. H. Thieken, M. Müuller, H. Kreibich, and B. Merz, “Flood damage and influencing factors: New insights from the August 2002 flood in Germany,” Water resources research, Vol.41, No.12, 2005.
-  C. A. Kircher, R. V. Whitman, and W. T. Holmes, “HAZUS earthquake loss estimation methods,” Natural Hazards Review, Vol.7, No.2, pp. 45-59, 2006.
-  S. Hallegatte, “An Adaptive Regional Input-Output Model and its Application to the Assessment of the Economic Cost of Katrina,” Risk analysis, Vol.28, No.3, pp. 779-799, 2008.
-  J. R. Santos and Y. Y. Haimes, “Modeling the Demand Reduction Input-Output (I-O) Inoperability Due to Terrorism of Interconnected Infrastructures,” Risk Analysis, Vol.24, No.6, pp. 1437-1451, 2004.
-  Y. Okuyama, “Modeling spatial economic impacts of an earthquake: Input-output approaches,” Disaster Prevention and Management: An International Journal, Vol.13, No.4, pp. 297-306, 2004.
-  K. G. Crowther, Y. Y. Haimes, and G. Taub, “Systemic Valuation of Strategic Preparedness Through Application of the Inoperability Input-Output Model with Lessons Learned from Hurricane Katrina,” Risk Analysis, Vol.27, No.5, pp. 1345-1364, 2007.
-  H. Tatano and S. Tsuchiya, “A framework for economic loss estimation due to seismic transportation network disruption: a spatial computable general equilibrium approach,” Natural Hazards, Vol.44, No.2, pp. 253-265, 2008.
-  A. Rose and S. Y. Liao, “Modeling regional economic resilience to disasters: A computable general equilibrium analysis of water service disruptions,” Journal of Regional Science, Vol.45, No.1, pp. 75-112, 2005.
-  S. Tsuchiya, H. Tatano, and N. Okada “Economic loss assessment due to railroad and highway disruptions,” Economic Systems Research, Vol.19, No.2, pp. 147-162, 2007.
-  Y. Okuyama, “Critical review of Methodologies on disaster impacts estimation,” Background paper for EDRR report, 2008.
-  S. Hallegatte, “Modeling the role of inventories and heterogeneity in the assessment of the economic costs of natural disasters,” Risk analysis, Vol.34, No.1, pp. 152-167, 2014.
-  Y. Okuyama and J. R. Santos, “Disaster impact and input–output analysis,” Economic Systems Research, Vol.26, No.1, pp. 1-12, 2014.
-  Y. Kajitani and H. Tatano, “Estimation of production capacity loss rate after the great East Japan earthquake and tsunami in 2011,” Economic Systems Research, Vol.26, No.1, pp. 13-38, 2014.
-  L. Yang, Y. Kajitani, H. Tatano, and X. Jiang, “A Methodology for Estimating Business Interruption Loss Caused by Flood Disaster: Based on Business Surveys after Tokai Heavy Rain in Japan,” Natural Hazards, 2015 (under review).
-  A. Rose, “Economic Resilience to Disasters,” CARRI Report No. 8, Community and Resilience Institute, 2009.
-  Ministry of Land, Infrastructure and Transport (MLIT): Chubu Regional Development Bureau Shonai River Office, The report for investigation of economic ripple effect due to Tokai heavy rain in 2002 (in Japanese).
-  C. Childs, “Interpolating surfaces in ArcGIS spatial analyst,” ArcUser, July-September, pp. 32-35, 2004.
-  X. Jiang, H. Tatano, and Y. Kajitani, “Geo-Statistical Approach for Interpolation of Tsunami Height – A Case Study on Tohoku Tsunami Event,” The annual Int. Conf. organized by the Int. Institute for Infrastructure, Renewal and Reconstruction (IIIRR), pp. 241-247, 2012.
-  A. Rose, “Economic principles, issues, and research priorities in hazard loss estimation,” Modeling spatial and economic impacts of disasters, pp. 3-36, Springer Berlin Heidelberg, 2004.
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