估计
大洪水
危害
自然灾害
业务
环境科学
分布(数学)
数据丢失
计算机科学
计量经济学
环境经济学
环境资源管理
气象学
经济
地理
数学
数学分析
考古
有机化学
化学
管理
计算机网络
作者
Lijiao Yang,Hirokazu Tatano,Yoshio Kajitani,Xinyu Jiang
标识
DOI:10.20965/jdr.2015.p0981
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI