Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 981-990 |
| Number of pages | 10 |
| Journal | Journal of Disaster Research |
| Volume | 10 |
| Issue number | 5 |
| DOIs | |
| State | Published - Oct 2015 |
| Externally published | Yes |
Keywords
- BI loss
- Index of industrial production
- Integrated statistical model
- Kriging interpolation
- Tokai heavy rain 2000
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