Social vulnerability assessment using artificial neural network (ANN) model for earthquake hazard in Tabriz city, Iran

• Main Authors: Alizadeh, Mohsen, Alizadeh, Esmaeil, Kotenaee, Sara Asadollahpour, Shahabi, Himan, Pour, Amin Beiranvand, Panahi, Mahdi, Ahmad, Baharin, Saro, Lee
• Format: Article
• Language: English
• Published: MDPI AG 2018
• Subjects: HT101-395 Sociology, Urban
• Online Access: http://eprints.utm.my/id/eprint/86196/1/MohsenAlizadeh2018_SocialVulnerabilityAssessmentUsingArtificialNeural.pdf; http://eprints.utm.my/id/eprint/86196/; http://dx.doi.org/10.3390/su10103376
• Institution: Universiti Teknologi Malaysia

This study presents the application of an artificial neural network (ANN) and geographic information system (GIS) for estimating the social vulnerability to earthquakes in the Tabriz city, Iran. Thereby, seven indicators were identified and used for earthquake vulnerability mapping, including popula...