Multi-criteria decision support systems for flood hazard mitigation and emergency response in urban watersheds

被引:65
作者
Levy, Jason K. [1 ]
Hartmann, Jens
Li, Kevin W.
An, Yunbi
Asgary, Ali
机构
[1] Western Washington Univ, Huxley Coll Environm, Dept Environm Studies, Bellingham, WA 98225 USA
[2] Tech Univ Darmstadt, Inst Appl Geosci, D-64287 Darmstadt, Germany
[3] Univ Windsor, Odette Sch Business, Windsor, ON N9B 3P4, Canada
[4] York Univ, Sch Adm Studies, Toronto, ON M3J 1P3, Canada
[5] York Univ, Atkinson Fac Liberal & Profess Studies, Toronto, ON M3J 1P3, Canada
来源
JOURNAL OF THE AMERICAN WATER RESOURCES ASSOCIATION | 2007年 / 43卷 / 02期
关键词
decision support systems; flood hazard; risk assessment; planning; Japan;
D O I
10.1111/j.1752-1688.2007.00027.x
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Flood management problems are inherently complex, time-bound and multi-faceted, involving many decision makers (with conflicting priorities and dynamic preferences), high decision stakes, limited technical information (both in terms of quality and quantity), and difficult tradeoffs. Multi-Criteria Decision Support Systems (MCDSS) can help to manage this complexity and decision load by combining value judgments and technical information in a structured decision framework. A brief overview of MCDSS is presented, an original MCDSS architecture is put forth, and future research directions are discussed, including extensions to Multi-Criteria Spatial Decision Support Systems and group MCDSS (as flood management involves shared resources and broad constituencies). With application to the September 11-12, 2000 Tokai floods in Japan, the proposed multi-criteria decision support instruments enhance communication among stakeholders and improve emergency management resource allocation. In summary, by making the links among flood knowledge, assumptions and choices more explicit, MCDSS increases stakeholder satisfaction, saves lives, and reduces flood management costs, thereby increasing decision-making effectiveness, efficiency and transparency.
引用
收藏
页码:346 / 358
页数:13
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