Brownfields particularly in old city centers reveal the story of abandonment and concealment, shaping the identity and collective memory of urban areas. Therefore, research and practice must prioritize both reutilization and heritage values. This study centers on the regeneration of historical brownfields in Tehran, the capital of Iran, and assesses public perceptions of redeveloped historical brownfields. Based on their approach to patrimony, the study categorized reclaimed brownfields as interpretive, cultural, or ecological sites. A questionnaire was administered to citizens who visited three sampled sites (n = 385) to collect data. According to the results of principal component analysis (PCA), women preferred the non-economic component, which includes environmental, social, heritage, and aesthetic dimensions, while men and older, highly educated respondents preferred the economic dimension in relation to brownfields. Despite positive attitudes towards brownfield regeneration, environmental and heritage dimensions, especially intangible heritage, are less well-known. However, heritage justifies and determines brownfield redevelopment. Increasing commitment to preserving heritage during brownfield regeneration has a positive effect on the perception of respondents.

A major component of urban management is studying and evaluating urban resilience in order to minimize the effects of natural hazards. This is because of the increasing number of natural hazards occurring worldwide. A spatial decision support system is presented for modeling urban resilience and selecting resilient zones in response to natural hazards. This system is implemented based on 22 criteria, grouped into three categories: demographics, infrastructure, and environmental. The criteria are then standardized using minimum and maximum methods, and their importance is determined by the analytical hierarchy process (AHP). The resilience maps in various scenarios are prepared using the ordered weighted average (OWA) method. Flow accumulation (distance from fault), vulnerable population density (vulnerable population density), and distance from road network (material type) were regarded as the most important criteria for flood resilience (earthquake resilience) from environmental, demographic, and infrastructure criteria, respectively. There are different areas that are considered to have very low resilience depending on the risk attitude. According a pessimistic scenario, 1% of Tehran’s area has very low resilience, while according to an optimistic scenario, 38% has very low resilience. This system can be used by urban planners and policymakers for the purpose of improving resilience to natural hazards in low-resilience areas.