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شناسایی پهنه های مناسب برای مکان یابی فضاهای سبز چند منظوره شهری جهت اسکان موقت پس از بحران مطالعه موردی شهر رشت.
- Source :
- Human Geography Research; Dec2024, Vol. 56 Issue 4, p247-265, 22p
- Publication Year :
- 2024
-
Abstract
- Redefining the concept of urban green space not only as a place for recreation but also as a flexible and multipurpose use in different conditions can be effective in the resilience of life and urban life after disasters. Therefore, one of the main goals in the construction of multi-purpose green spaces is to promote urban resilience and temporary accommodation. The aim of the current research is the optimal placement of multi-purpose green spaces with an emphasis on temporary accommodation in Rasht city. The method used in this research combines the best-worst approach (BWM) and fuzzy functions in GIS. By determining the final weight of effective criteria and subcriteria in locating multi-purpose green spaces and comparing them using the best-worst method, the highest weight of sub-criteria was determined as "natural" and "compatible." The criteria of "incompatibility" and "efficiency" are "distance from the fault," "close to residential areas," "distance from high-risk facilities," and "population density," respectively. Then, the zoning of Rasht was done using the fuzzy method, and the optimal ranges were determined in five districts of Rasht. The results show that the most suitable place for the construction of multi-purpose green spaces and temporary accommodation is in Districts 3 and 1, with an area of 967.01 and 718.6 hectares, respectively, in the north and east of Rasht city. However, regarding the ratio of optimal levels to areas, District 2 has the highest ratio of 0.64. [ABSTRACT FROM AUTHOR]
Details
- Language :
- Persian
- ISSN :
- 20086296
- Volume :
- 56
- Issue :
- 4
- Database :
- Complementary Index
- Journal :
- Human Geography Research
- Publication Type :
- Academic Journal
- Accession number :
- 182804239
- Full Text :
- https://doi.org/10.22059/jhgr.2024.364677.1008630