Earthquake Vulnerability Assessment for Urban Areas Using an ANN and Hybrid SWOT-QSPM Model

Tabriz city in NW Iran is a seismic-prone province with recurring devastating earthquakes that have resulted in heavy casualties and damages. This research developed a new computational framework to investigate four main dimensions of vulnerability (environmental, social, economic and physical). An...

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Bibliographic Details
Published in:	Remote sensing (Basel, Switzerland) Switzerland), 2021-11, Vol.13 (22), p.4519
Main Authors:	Alizadeh, Mohsen, Zabihi, Hasan, Rezaie, Fatemeh, Asadzadeh, Asad, Wolf, Isabelle D., Langat, Philip K, Khosravi, Iman, Beiranvand Pour, Amin, Mohammad Nataj, Milad, Pradhan, Biswajeet
Format:	Article
Language:	English
Subjects:	ANN Artificial neural networks Casualties Computer applications computer software Cultural heritage Datasets Decision analysis Disaster management disaster preparedness Disasters earthquake Earthquake damage Earthquakes Economic models Emergency preparedness Fuzzy sets Geographic information systems Hazard mitigation hybrids Indicators Integrated approach Iran Literature reviews Machine learning Mitigation Multilayer perceptrons Natural disasters Neural networks QSPM Reclassification Remote sensing Residential areas Residential buildings risk assessment Seismic activity Seismic engineering Self organizing maps Software reliability Strategic management Strategic planning Support vector machines SWOT SWOT analysis taxonomic revisions Urban areas vulnerability assessment
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