Using Multi-Criteria Spatial Decision Support System (MC-SDSS) in Prioritization of Brownfield Redevelopment in Mashhad Metropolis, Iran

The concept of redevelopment is accompanied by measures and forecasts to improve the quality of citieschr('39') physical environment. This is necessary when the cohesion, coordination and performance of the urban environment are diminished and do not meet the needs of the environment. Brownfields are, including abandoned areas, inefficient and in need of redevelopment in cities. This unstable land as urban areas have led to environmental degradation, social segregation, and incidence of identity and instability in the cities have been. Despite these problems, it is important to pay attention to and identify these areas and evaluate them for purposeful and sustainable intervention in these lands. This studychr('39')s main issue was to identify the indicators for the definition of brownfields in the metropolis of Mashhad and to determine the criteria for prioritizing the redevelopment of these lands.
This research is applied in terms of purpose and method, based on consecutive analytical and exploratory strategy. Furthermore, for analysis, using Multi-Criteria Spatial Decision Support System and its hybrid models (TOPSIS, SAW).
Based on analyzes performed and components and indicators Obtained from available sources, a conceptual model with five components and 30 indicators and the weight of each category and the importance of the issues were determined.
The results indicate that the redevelopment of brownfield in the Mashhad creates countless opportunities to revitalize and regenerate urban activities and achieve urban sustainability in various social, economic, physical, and environmental dimensions. Among the 13 metropolitan areas of Mashhad, District 12 is the priority for the brownfield redevelopment, and SAMEN district, as the most central urban area that includes the historical urban fabric, was the last priority in the redevelopment of brownfield.