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

Javad Hosseini, Mojtaba Shakeryari, Amir Nazari Nejad, Hamed Mastalizadeh, Mohammad Maleki, Junye Wang (), Rabee Rustum, Mahdis Rahmati, Fereshteh Doostvandi and Mir Abolfazl Mostafavi
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Javad Hosseini: Department of Geography and Urban Planning, Islamic Azad University, Isfahan 39998-81551, Iran
Mojtaba Shakeryari: Environmental Science, University of Tehran, Tehran 1417935840, Iran
Amir Nazari Nejad: Surveying Engineering, Islamic Azad University, Chalus 1477893855, Iran
Hamed Mastalizadeh: Geography and Urban Planning, Sistan & Baluchestan University, Zabul 9816745785, Iran
Mohammad Maleki: Remote Sensing & Geographic Information System, Kharazmi University, Tehran 1571914911, Iran
Junye Wang: Faculty of Science and Technology, Athabasca University, Athabasca, AB T9S 3A3, Canada
Rabee Rustum: Dubai Campus, Heriot-Watt University, Dubai P.O. Box 501745, United Arab Emirates
Mahdis Rahmati: Remote Sensing & Geographic Information System, Islamic Azad University, Tehran 1148963537, Iran
Fereshteh Doostvandi: Department of Geography, Razi University, Kermanshah 6714414971, Iran
Mir Abolfazl Mostafavi: Department of Geomatics Sciences, Université Laval, Quebec City, QC G1V 0A6, Canada

Land, 2024, vol. 13, issue 7, 1-22

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.

Keywords: MCDM methods; resilience; regeneration; urbanization; city decision-making; landscape planning (search for similar items in EconPapers)
JEL-codes: Q15 Q2 Q24 Q28 Q5 R14 R52 (search for similar items in EconPapers)
Date: 2024
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