Increasing concern for climate change adaptation and disaster risk reduction is driving the need for more accurate and sophisticated tools of analysis to protect populations. Standards of analysis that can normalize measurements under various contexts are particularly valuable in the global arena of disaster management. One concern that may benefit from normalizing is the analysis of disaster loss trends. Previous studies have used a combination of inflation, wealth, and societal factors in their normalization of disaster loss methodologies. This study examines the various normalization methods in previous research and applies a selection of eight formulae to 50 years of disaster data in South Korea. The results show both decreasing and increasing trends in disaster damage losses based on the methods, but there are curious biases under the results that may be artifacts of Korea's unique experiences in economic development. The conclusion discusses how the case of Korea may help to clarify the optimal normalization methodology for other countries.
|Number of pages||12|
|Publication status||Published - 2019 Apr|
Bibliographical noteFunding Information:
This research was supported by the Disaster and Safety Management Institute funded by Ministry of Public Safety and Security of Korea (Grant No. MPSS-NH-2013-63) and Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (Grant No. 2015R1D1A1A01059239).
© 2018 Society for Risk Analysis
All Science Journal Classification (ASJC) codes
- Safety, Risk, Reliability and Quality
- Physiology (medical)