Mohsen Alizadeh|Ibrahim Ngah|Mazlan Hashim|Biswajeet Pradhan|Amin Beiranvand Pour
A Hybrid Analytic Network Process and Artificial Neural Network (ANP-ANN) Model for Urban Earthquake Vulnerability Assessment
University of Technology Malaysia|University of Technology Malaysia|University of Technology Malaysia|Sejong University|University of Technology Sydney|Korea Polar Research Institute
vulnerability assessment one prerequisites risk analysis disaster management vulnerability earthquakes especially urban areas increased years due presence complex urban structures rapid development urban vulnerability result human behavior describes extent susceptibility resilience social economic physical assets natural disasters main aim paper develop new hybrid framework using analytic network process anp artificial neural network ann models constructing composite social economic environmental physical vulnerability index index applied tabriz city seismicprone province northwestern part iran recurring devastating earthquakes consequent heavy casualties damages geographical information systems gis analysis used identify evaluate quantitative vulnerability indicators generating earthquake vulnerability map classified standardized indicators subsequently weighed ranked using anp model construct training database standardized maps coupled training site maps presented input multilayer perceptron mlp neural network producing earthquake vulnerability map evm finally evm produced tabriz city level vulnerability various zones obtained south southeast regions tabriz city indicate low moderate vulnerability zones northeastern tract critical vulnerability conditions furthermore impact vulnerability tabriz city population earthquake included analysis risk estimation comparison result produced evm population vulnerability pv tabriz city corroborated validity results obtained anpann findings paper useful decisionmakers government authorities obtain better knowledge cityrsquos vulnerability dimensions adopt preparedness strategies future tabriz city developed hybrid framework anp ann models easily replicated applied urban regions around world sustainability environmental management