Analysis of informal settlements with emphasis on the poverty expansion (Case Study: Khorramabad City)
Subject Areas :
sajad khosravi
1
,
عباس ملک حسینی
2
*
1 - PhD student of geography and urban planning, Malair branch, Islamic Azad University,Malayer.Iran
2 - Associate Professor of Geography and Urban Planning, Malair branch, Islamic Azad University,Malayer.Iran
Keywords: Informal Settlement, Poverty, Khorramabad City,
Abstract :
at the beginning of the 21st century, more than half of the world's population of more than six billion, more than half of them living in urban areas, mainly concentrated in the million cities. One-third of the world's urban population lived in informal settlements. They tend to be among the poorest in society. In this study, 11 informal settlements of Khorramabad city with emphasis on poverty expansion were studied by statistical tests and the ELECTRE model using analytical descriptive method. The statistical population of this study was calculated based on Cochran's formula of 384 persons. The results indicate that the dependent variable (informal settlement) is influenced by the independent variable (poverty). According to the coefficient of determination, 28% of the variance of the dependent variable is explained by the independent variable. It can be concluded that as the level of poverty increases, the level of informal housing in the neighborhoods also increases. The social index with the mean of 33.9167 had the highest average and the economic index with the mean of 10.9219 had the lowest average. Also, in terms of mean differences, socioeconomic and physical indices were lower than the average, indicating that respondents rated their indicators as negative in their neighborhoods. The results of the ELECTRE model show that in 11 informal settlements of Khorramabad, economic and physical indices are different at the neighborhood level, whereas Assad Abadi and Gel sefis are desirable in terms of physical and economic indices and Asbestan neighborhoods. And Falkodine is the worst in terms of economic and physical indicators.
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