Assessment and Evaluation of Urban Resilience against Earthquake Risk Using Integration of ANP and OWA Model (Case Study: Germi City)

Authors

1 professor of Geomorghology, University of Mohaghegh Ardabili, Ardabil, Iran

2 Ph.D. of Geomorghology, University of Mohaghegh Ardabili, Ardabil, Iran

3 MS.c of Geography and Urban Planning, University of Mohaghegh Ardabili, Ardabil, Iran

Abstract

At present, following the growth of urbanization and the increase in natural disasters, the study and measurement of the resilience of human and natural systems in achieving sustainable development is of particular importance. Accordingly, the present study seeks to measure and evaluate the resilience of Germi city environment against earthquake risk. In this study, by taking into account the natural, physical and accessible structures involved in reducing the effects of an earthquake in the form of 15 indicators, resilience of Germi city against earthquake is discussed. Then, the information layers were prepared by the geographic information system and in the next step, the weighting of the studied factors was done using the network analysis process (ANP) in Super Decision software environment and the final modeling was done using the ordinal weighted average (OWA) method. The results indicate that 11/70 % of the study area has a quite good resilience and 24.17% of the area has quite inappropriate. Moderate and relatively appropriate resilience percentages are 25 %, 25.84 %, and 13.29 %, respectively. In general, it can be said that the southern, southwestern parts and northeastern city of Germi have relatively inappropriate conditions regarding resilience, whereas construction in the northern and northwestern parts of the city are in better condition. According to the final map, the city of Germi is not in a good position in terms of earthquakes resistance, and it has a kind of medium to low status. According to the final map, the city of Germi is not in a good position in terms of earthquakes resistance, and it has a kind of medium to low status.

Keywords


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