Identification of scenarios of the inefficient urban fabric based on sustainable regeneration approach on the Horizon of 1414 (Case study: Inefficient fabric of Yazd urban)

The inefficient urban tissue is part of the citychr('39')s body left out of the urban scene because of too much deterioration. Therefore, along with the emergence of various problems and their effects on different areas, paying attention to dysfunctional tissues and eliminating their instability has become a severe issue. The need to intervene in these tissues in different periods is necessary. Urban regeneration, with the integrated redevelopment that includes physical, social, economic, and environmental dimensions. As a solution for achieving spatial justice, social equality, economic vitality, and ecological health. Given the increasing pace of urban change, future research is a tool for achieving sustainable regeneration to face the urban futurechr('39')s uncertainties. This article aims to explain the future of the inefficient Tissue of Yazd city in the long-term horizon of 2035 to achieve sustainable urban regeneration.

 In terms of purpose, the present study is applied. The method is a combination of documentary and survey methods. Its methodology is in the field of future study. Datatype is qualitative and, in terms of time is cross-sectional data. For analyzing variables, the method of cross-impact and scenario wizard software has been used.

The results showed that among the factors affecting the future of inefficient tissue, ten drivers play a role in the regeneration of the inefficient tissue of Yazd. In total, 30 uncertainties were determined for drivers. Finally, based on expertschr('39') opinions and based on the Wizard scenario software analysis, two robust scenarios were obtained.

 Based on the analysis of robust scenarios, the first scenario considers the critical situation and the second scenario the optimal conditions for the future of the inefficient Tissue of Yazd city. Finally, solutions are presented to achieve the desired future in the second scenario.