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Comparison of the Analytic Network Process and the Best–Worst Method in Ranking Urban Resilience and Regeneration Prioritization by Applying Geographic Information Systems

Credit: 1
Pages: نامشخص
زبان: en
Container: Land
Vol: 13
Issue: 7
Year: 2024
Type: journal-article
Publisher: MDPI AG
DOI: 10.3390/land13071008
Authors: Javad Hosseini , Mojtaba Shakeryari , Amir Nazari Nejad , Hamed Mastalizadeh , Mohammad Maleki , Junye Wang , Rabee Rustum , Mahdis Rahmati , Fereshteh Doostvandi , Mir Abolfazl Mostafavi
توجه: قبل از اقدام به دریافت مقالات ISI، حتما از تعداد صفحات و نوع مطلب اطمینان حاصل نمایید. با استفاده از لینک اطلاعات فوق، می توانید به صفحه اطلاعات این مقاله در سایت ناشر مراجعه نمایید و تعداد صفحات و... را به دقت کنترل فرمایید. پس از اطمینان به این صفحه بازگشته و مراحل خرید و دریافت فایل مقاله را انجام دهید.
برخی از مقالات رایگان می باشند و بدون خرید از سیویلیکا با کلیک بر روی لینک فوق، از طریق سایت ناشر قابل دریافت می باشند.

Abstract:

Urbanization without planning causes concerns about biodiversity loss, congestion, housing, and ecosystem sustainability in developing countries. Therefore, resilience and regeneration following urbanization are critical to city planning and sustainable development. Integrating multi-criteria decision-making methods (MCDM) with geographic information systems (GIS) can be a promising method for analyzing city resilience and regeneration. This study aims to use two MCDMs, the Analytic Network Process (ANP) and the Best–Worst Method (BWM), to evaluate the resilience of metropolitan neighborhoods in Tehran. Fourteen criteria were selected to represent the city’s resilience, and the weights of two models were evaluated for their spatial patterns using GIS. The results showed that the building age was the most important criterion in both methods, while the per capita green space was the least important criterion. The weights of the most important criterion, the building age, for the ANP and BWM, were 19.56 and 18.98, respectively, while the weights of the least important criterion, the per capita green space, were 2.197 and 1.655, respectively. Therefore, the MCDM with GIS provides an approach for assessing city resilience and regeneration priority.