Risk Ranking among Types of Disaster and Safety Accidents Based on Euclidean Distance Using Damage Statistical Data

Abstract

In order to improve the effectiveness of the Master Plan for National Safety Management and its Implementation Plans, which include disaster and safety budgets as well as specific projects from relevant central administrative ministries and agencies, it is necessary to identify the types of high-risk disasters and accidents, and establish intensive safety management measures for selected types. In this study, based on Euclidean distance using statistical data, a method to quantify the scale of damage caused by disasters and safety accidents is proposed for determining the risk ranking among various types. We carried out an analysis of several different factors to cover two aspects: (i) the current status of damage on overall disasters and safety accidents-the annual average number of disasters and accidents in the recent 5 years (2012-2016), as well as human casualties and property losses; and (ii) the characteristics of large-scale catastrophic events-the occurrence cycles of disasters, human casualties per disaster, and property losses per disaster. The analysis was carried out in five steps. As a result, storms and floods, accidents in vulnerable social groups, maritime accidents, fires and explosions, and industrial accidents are in the high-risk group for concentrated disaster and safety management. Keywords: Disasters and Accidents, Euclidean Distance, Risk Ranking, Damage Statistical Data, Budget for Disaster and Safety Management Projects