An Assessment of Social Resilience against Natural Hazards through Multi-Criteria Decision Making in Geographical Setting: A Case Study of Sarpol-e Zahab, Iran

The aim of this study was to propose an approach for assessing the social resilience citizens, using a locative multi-criteria decision-making (MCDM) model exemplary case Sarpol-e Zahab city, Iran. To do so, set 10 variables and 28 criteria affecting were used their weights measured Analytical Hierarchy Process, which then inserted into Weighted Linear Combination (WLC) mapping across our study. Finally, accuracy generated map, correlation coefficient between results WLC level map assessed, based on in-situ data collection after conducting survey. outcomes revealed that more than 60% area falls low category, categorized as most vulnerable areas. 79%, proves acceptability citizens cities diverse risks. proposed methodological approach, focuses chosen presented discussions, borne from can be beneficial wide range stakeholders decision makers in prioritizing resources efforts benefit areas inhabitants.