Spatial pattern of factors influencing the formation of poverty zones (Case Study: Khorramabad City)

one of the problems in developing cities is developing a class of poor human societies. the poverty phenomenon in cities has negative effects on physical, economic, social, city, and residents. therefore, recognition of the poverty distribution pattern will help managers and urban planners and prevent it from spreading. the purpose of this study is to identify the area of poverty and its spatial in Khorramabad city. the present study is applicable in terms of practical purpose and terms of the descriptive-analytical method. The research indices are extracted from the data of the statistical blocks from Khorramabad city in the 2016 Iran Statistical Center. to scale the indicators, the fuzzy method has been used to measure the poverty situation by factor analysis method. first, the indexes of poverty were calculated and then used to reduce the number of indexes in poverty and form a new structure for them from exploratory factor analysis. Hot spots were used to perform spatial analysis. using the Moran index in Geoda software, the spatial correlation of the city poverty was determined in the study area. the results showed that in the total area of poverty 57.57% of urban blocks, 55.68% of the urban area and 65.58% of population and Welfare zones has covered 11.15% of urban blocks, 10.93% of urban areas, and 4.85% of the Khorramabad population.