نوع مقاله : مقاله پژوهشی
نویسندگان
1 گروه جغرافیا انسانی، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران.
2 گروه جغرافیای انسانی، دانشکده جغرافیا، دانشگاه تهران، تهران، ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسندگان [English]
Aim: In this research, an attempt has been made to rank the 22 districts of Arak based on quantitative and qualitative indicators of housing. In addition, its purpose is to identify the spatial distribution pattern of these indicators at the city level.
Material & Method: Subsequently, using Shannon's Entropy for weighting and multi-criteria decision-making methods including Saw, Moora, and Copras, we evaluated and weighted 31 quantitative and qualitative indices at the regional level of Arak City. The final ranking of these indices was accomplished through the Copland aggregation method. The conclusive map was generated by invoking data in Arc-GIS software. Additionally, the global Moran's model was employed to identify the spatial pattern of quantitative and qualitative housing indicators.
Finding: The findings reveal a "random" distribution pattern of quantitative and qualitative housing indicators in Arak City, indicating the influence of multiple factors on this randomness. Deteriorated areas (regions 15 and 18), informal settlements (regions 1 and 22), and the city center (regions 6 and 18) are identified as the primary factors contributing to this random spatial pattern, consequently affecting the absence of quantitative and qualitative housing indicators in certain regions. In contrast, well-planned areas like regions 3, 5, 18, 20, 10, and 7 exhibit a favorable status regarding the possession of these indicators.
Conclusion: The study's outcomes reveal that the primary contributors to spatial inequality in the possession of quantitative and qualitative housing indicators across Arak City's regions are the presence of deteriorated urban fabric, informal settlements, urban decay, high population density, and land scarcity in central areas. Additionally, in line with the developmental cyclical pattern, well-planned and newly developed regions prioritize housing quality, accessibility, and per capita indicators, positioning them more favorably regarding the possession of these housing metrics.
Innovation: An innovative and practical dimension of this research involves the use of expert groups for indicator monitoring and the application of the Copland aggregation model in the research process. It is noteworthy that this study has the potential to notably mitigate the existing gap in housing research within the domain of Arak City.
کلیدواژهها [English]
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