نوع مقاله : مقاله پژوهشی
نویسندگان
1 دانشجوی دکتری شهرسازی، دانشکده معماری و شهرسازی، دانشگاه علموصنعت ایران، تهران، ایران
2 دانشیار گروه شهرسازی، دانشکده معماری و شهرسازی، دانشگاه علم و صنعت ایران، تهران، ایران
3 دانشجوی دکتری شهرسازی، دانشکده معماری و شهرسازی، دانشگاه بینالمللی امام خمینی، قزوین، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
The intensification of climate change phenomena and the emergence of intra-urban thermal inequalities have underscored the necessity of rethinking the physical structure of cities. This study aims to analyze the urban morphology of District 4 of Urmia and elucidate its role in mitigating the effects of climate change. The research method is descriptive-analytical and based on quantitative and spatial analyses. Data were collected through GIS base maps, Landsat satellite imagery, space syntax analysis using DepthmapX software, and physical-environmental indicators. The MEREC method was employed to weight the 13 research indicators. The results indicated that the thermal information index of the area, with a weight of 0.142, played the most significant role in distinguishing neighborhoods, reflecting spatial inequality in surface heat distribution. Analyses reveal that the western and central zones, characterized by low-rise fabric and medium density, possess more balanced thermal conditions; in contrast, the concentration of barren lands and impervious surfaces in the eastern sector has led to the formation of urban heat island hotspots. Furthermore, the hierarchical structure of the street network, featuring high connectivity, choice, and integration along main axes and greater depth in residential fabrics, holds the potential for climate-oriented readjustment. Accordingly, a proposed morphological model was presented in the form of functional zoning (A to D), emphasizing the strengthening of continuous green infrastructure, density regulation, and climate-oriented rearrangement of barren lands. By integrating topological analysis, physical indicators, and thermal data at the neighborhood scale, this study provides a localized framework for enhancing climate resilience.
کلیدواژهها [English]
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