Analysis of the resilience of residential indicators in urban spaces with a spatial justice approach (Study sample: Ghaemshahr city)

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Article Type:
Case Study (دارای رتبه معتبر)
Abstract:

The resilience of residential indicators is one of the most important elements and factors in achieving sustainable development based on inclusive justice. Injustice in the distribution of residential indicators is one of the central issues in social studies and also one of the most important tangible dimensions of spatial injustice. The purpose of this study is to the analysis of the Resilience of residential indicators in the neighborhoods of Ghaemshahr city with a spatial justice approach. The present research is applied based on the purpose of the type and based on the method of the combined type. Data collection has been done through library and documentary studies. Data related to residential indicators have been extracted from statistical blocks of Ghaemshahr city in 2016. Residential indicators in the neighborhood level are recorded in the Excel software environment and the entropy model is used to weight residential indicators and WASPAS model is used to analyze the resilience of residential indicators. Then, the map of the resilience of residential indicators in the level of the neighborhoods of Ghaemshahr city has been drawn in the Arc gis software environment. The results of WASPAS model show that neighborhood 7 has the highest and neighborhood 12 has the lowest rate of the resilience of residential indicators. The results also showed that the whole city of Ghaemshahr city has moderate resilience in terms of residential indicators. According to the drawn map, Spatial injustice in the resilience of residential indicators in the neighborhoods of Ghaemshahr city is clearly identified, so that 10 out of 20 neighborhoods of Ghaemshahr city suffer from injustice in the resilience of residential indicators.

Language:
Persian
Published:
Journal of Geography and Environmental Hazards, Volume:10 Issue: 38, 2021
Pages:
185 to 203
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