System dynamics model of urban earthquake disaster resistance and prevention capacity evaluation - Details

Author：

Liu, X. (Liu, X..) (Scholars：刘晓) | Su, J. (Su, J..) | Wang, W. (Wang, W..) (Scholars：王伟) | Ma, D. (Ma, D..)

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Scopus PKU CSCD

Abstract：

In　view　of　the　characteristics　of　urban　earthquake　disaster　resistance　and　prevention　system　such　as　multilevel　and　large-scale　complexity,　dynamics　and　self-organization,　this　paper　proposed　an　evaluation　model　of　urban　earthquake　disaster　resistance　and　prevention　based　on　systematic　dynamics　theory.　First,　relative　research　achievements　in　this　respect　was　reviewed,　and　the　shortage　of　the　previous　researches　on　it　was　summarized;　second,　the　framework　of　the　evaluation　model　of　urban　earthquake　disaster　resistance　and　prevention　capacity　was　given　based　on　system　dynamics,　the　index　system　of　the　evaluation　model　was　established,　the　dynamics　and　causality　feedback　mechanism　of　the　urban　earthquake　disaster　prevention　system　was　analyzed,　and　the　basic　diagrams　of　causality　and　systematic　dynamics　flow　was　drawn.　Finally,　the　model　is　verified　by　an　example　of　some　city　＇　s　regional　vulnerability.

Keyword：

Causality feedback; Dynamic correlation; Simulation; Systematic dynamics; Urban earthquake disaster resistance and prevention capacity

Author Community：

[ 1 ] [Liu, X.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, China, Beijing 100124, China
[ 2 ] [Liu, X.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
[ 3 ] [Su, J.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, China, Beijing 100124, China
[ 4 ] [Wang, W.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, China, Beijing 100124, China
[ 5 ] [Wang, W.]College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China
[ 6 ] [Ma, D.]Institute of Earthquake Resistance and Disaster Reduction, Beijing University of Technology, China, Beijing 100124, China

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Source ：

Journal of Natural Disasters

ISSN： 1004-4574

Year： 2013

Issue： 5

Volume： 22

Page： 71-76

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SCOPUS Cited Count：

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 1

Affiliated Colleges：

城市建设学部建筑工程学院

材料与制造学部本学院/部未明确归属的数据

城市建设学部

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