Analyzing evacuation decisions using multi-attribute utility theory (MAUT)

被引:43
作者
Kailiponi, Paul [1 ]
机构
[1] Aston Univ, Aston Business Sch, Birmingham B4 7ET, W Midlands, England
来源
1ST CONFERENCE ON EVACUATION MODELING AND MANAGEMENT | 2010年 / 3卷
关键词
Multi-attribute utility theory; risk; emergency management; evacuation; FIRE COMPANIES; MODEL; SUPPORT; NUCLEAR; RISK; IMPACT;
D O I
10.1016/j.proeng.2010.07.016
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Emergency managers are faced with critical evacuation decisions. These decisions must balance conflicting objectives as well as high levels of uncertainty. Multi-Attribute Utility Theory (MAUT) provides a framework through which objective trade-offs can be analyzed to make optimal evacuation decisions. This paper is the result of data gathered during the European Commission Project, Evacuation Responsiveness by Government Organizations (ERGO) and outlines a preliminary decision model for the evacuation decision. The illustrative model identifies levels of risk at which point evacuation actions should be taken by emergency managers in a storm surge scenario with forecasts at 12 and 9 hour intervals. The results illustrate how differences in forecast precision affect the optimal evacuation decision. Additional uses for this decision model are also discussed along with improvements to the model through future ERGO data-gathering. (C) 2010 Published by Elsevier Ltd
引用
收藏
页码:163 / 174
页数:12
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