بازطراحی محله ازگل با رویکرد ارتقای کیفیت محیطی مبتنی بر تحلیل سلسله‌مراتبی فازی

Recent physical and demographic transformations in the Ozgol neighborhood, along with intensified construction activities and changing patterns of urban space use, have created challenges for environmental quality, public space quality, and residents’ satisfaction. This study aimed to assess the Ozgol neighborhood’s environmental quality and propose urban redesign strategies based on prioritizing dimensions and sub-indicators. A mixed-methods approach was employed: qualitative data were collected through 25 semi-structured interviews with residents and urban design experts, and quantitative analysis involved weighting environmental quality dimensions and sub-indicators using the Fuzzy Analytic Hierarchy Process (FAHP) and ranking redesign strategies using AHP–TOPSIS. Qualitative findings revealed that Ozgol faces significant challenges in the physical-spatial, social, and perceptual–meaningful dimensions, with residents highlighting poor street and sidewalk quality, limited green spaces, nighttime insecurity, and reduced social interactions. Quantitative results indicated that the physical-spatial dimension (weight = 0.312) and social dimension (weight = 0.248) have the highest impact on environmental quality, and improving sub-indicators such as street quality, access to open spaces, social interactions, and psychological security should be prioritized. The ranking of urban redesign strategies further emphasized the importance of enhancing public spaces, green areas, and street safety to improve residents’ environmental experience. The study shows that effective urban redesign requires a multidimensional approach that addresses physical, social, and perceptual needs simultaneously to enhance environmental quality, increase resident satisfaction and sense of belonging, and promote sustainable development and spatial justice. In addition to corroborating previous research, this study provides a combined qualitative–quantitative framework for prioritizing urban redesign strategies, which can serve as a decision-making model for similar neighborhoods.