Ratiranjan Jena|Biswajeet Pradhan|Ghassan Beydoun|. Nizamuddin|Ardiansyah Ardiansyah|Hizir Sofyan|Muzailin Affan
Integrated model for earthquake risk assessment using neural network and analytic hierarchy process: Aceh province, Indonesia
University of Technology Sydney|University of Technology Sydney|Sejong University|University of Technology Sydney|Syiah Kuala University|Syiah Kuala University|Syiah Kuala University|Syiah Kuala University
catastrophic natural hazards earthquake pose serious threats properties human lives urban areas therefore earthquake risk assessment era indispensable disaster management era integration extent probability vulnerability assets study develops integrated model using artificial neural networkanalytic hierarchy process annahp model constructing era map aim study quantify urban population risk may caused impending earthquakes model applied city banda aceh indonesia seismically active zone aceh province frequently affected devastating earthquakes ann used probability mapping whereas ahp used assess urban vulnerability hazard map created aid earthquake intensity variation thematic layering risk map subsequently created combining probability hazard vulnerability maps risk levels various zones obtained validation process reveals proposed model map earthquake probability based historical events accuracy 84 furthermore results show central southeastern regions city moderate high risk classifications whereas parts city fall low low earthquake risk classifications findings research useful government agencies decision makers particularly estimating risk dimensions urban areas future studies project preparedness strategies banda aceh