Measuring the capacity of dilapidated urban fabric in line with the housing supply programs of the target groups, case study: dilapidated fabric of Yazd city

The right to provide housing for the community has been recognized as one of the "citizen's rights" in more developed countries since the twenty th century. In developing countries, housing is considered a basic need, but despite the constant emphasis on the importance of housing as a basic need and fundamental right, a significant percentage of urban households are unable to provide it. In our country, the weakness of resource and land management, economic inflation, lack of comprehensive housing planning and other inadequacies have turned the provision of suitable shelter for citizens, especially low-income groups, into an acute problem. The growing demand for housing in the country has drawn the attention of most officials and planners to meet the housing needs of citizens, so that governments have tried to solve this problem with different policies; However, haste, regardless of the principles and foundations of housing in the heart of cities and land annexation to provide housing and horizontal expansion of cities, has become one of the most important problems of urban development in recent decades. While it seems that by using the existing capacities of the city, it could create a suitable platform for guiding residential development. Yazd city, as one of the big cities of Iran, has suffered the most damage from hasty housing policies, and these local policies have fueled its growth and horizontal expansion by ignoring the internal capacities of the urban fabric in residential development. The current research is applied research in the geographical area of ​​Yazd city and aims to measure the habitability capacity of the dilapidated fabric of Yazd city in order to respond to the housing needs of the target groups of the government's housing supply programs and finally to provide suggested implementation strategies and policies in this direction. Gis software is used in data analysis and SOWT analytical method is used.