The Hybrid Factor Analysis and Analytic Network Process (F'ANP) model modified: Assessing community social resilience in Tehran metropolis

Abstract

The F'ANP model was proposed to overcome one of the inherent drawbacks of the Analytic Network Process (ANP): the subjective judgements of decision makers in the construction of pairwise comparison matrices. The model introduced construction of data-driven matrices instead of the ANP subjective judgements. The model is now modified to overcome the second main drawback of the ANP model: the construction of great number of pairwise comparison matrices. Also, the F'ANP model utilizes the inherent features of Factor Analysis (FA) to streamline the construction of the ANP network model systematically. The proposed model could be used to weigh the indicators that depict a multi-dimensional phenomenon and also be used for composite index construction. It is applied to assess the social resilience to disasters at the neighborhoods level in Tehran. The results show that four correlated factors represent community social resilience: social structure, social equity, social values, and social capital. The composite social resilience index shows that the northern parts of the city have higher levels of social resilience, whereas the southern parts of the city exhibit lower social resilience capacity towards disasters. The model's application in Tehran shows that the modified F'ANP model is a concise and robust model to use.