Determining neighborhoods of priority for regeneration in Worn-out urban texture based on innovation adoption theory (case study, Torbat-e Heydarieh)

Since one-third of the country's population lives in 141,000 hectares of worn-out areas, the regeneration of these textures is one of the main concerns of the country. However, the plans to organize these textures have always been one of the most challenging urban programs, and it is difficult or almost impossible to find successful examples among them. One of the main reasons for this is people's skepticism about the results of such plans and the low acceptance rate of innovation. Goal: It seems that if these projects are implemented in appropriate and selected places and their positive and useful effects are tangible to the people, the acceptance of new approaches will be accelerated and the cost of implementing the projects will be reduced while their success will be guaranteed.

The study method was descriptive and analytical and the required data were collected using a questionnaire from a sample of 300 experts, local officials, and ordinary people. The collected data were analyzed using different statistics with the help of SPSS software and TOPSIS model.

Geographical area of research: 

The present study was conducted in the city of Torbat Heydariyeh. This city has the highest distressed urban testures but the least study has been done about it..

The results of the analysis of research findings show that the index of economic status of encouraging residents to accept the regeneration plan, is in the first place with an average of 3.06,the index of cultural categories is in the second place with an average of 2.99, and finally the index of social dimensions is in the third place with an average of 2.79. The findings showed that the best starting point for the regeneration project in this city is the Shahid Bahonar neighborhood, which has the highest score among the other three neighborhoods, and in Veblen's theory, it is the reference group.

If city officials focus on this neighborhood instead of implementing the project in all distressed areas, and achieve deliverable results, the implementation costs will be significantly reduced while increasing the probability of success of the project.