Analyzing the Factors Affecting the Physical Vulnerability of Informal Settlements (Case Study: Asadabadi Neighborhood, Khoramabad)

Informal settlements are a symbol of instability in the economic, social and cultural systems of the urban community. The consequence of this instability is to increase the degree of vulnerability in various dimensions, including physical vulnerability. These areas have affected the quality of life of the citizens with their problems, and on the other hand, managing this part of the city is different and difficult compared to other urban areas. According to the importance of threats of informal settlements against environmental hazards, the purpose of this article is to study the effective factors of physical vulnerability and modeling in the Asad Abadi neighborhood of Khorramabad. The research method is analytical-descriptive. In terms of purpose, the research method is applied-developmental. For data analysis, multivariate regression model, support vector machine model (SVM-ԑ) and random forest (RF) algorithm were used. The research findings showed that Assad Abadi neighborhood is in poor condition according to all physical indicators. From the perspective of residents of Asad Abadi neighborhood, the public service index with a regression coefficient of 0.429 has the most effect on physical vulnerability. Based on the evaluation criteria, the sigmoidal kernel model of the vector machine gives better results than the other methods. This model correctly predicts the physical vulnerability of informal residential complexes to hazards in more than 60% of cases.