Analyzing the resilience of urban settlements using multiple-criteria decision-making (MCDM) models (case study: Malayer city)

Javari, Majid; Saghaei, Mohsen; Jazi, Fahime Fadaei

doi:10.1080/27658511.2021.1889083

Cited by 4 publications

(4 citation statements)

References 44 publications

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“…Access has an important impact on urban resilience [4]. Building density also affects resilience rates in urban areas [5]. This density complicates emergency services, which may be disrupted by the excessive occupation of the area.…”

Section: Introductionmentioning

confidence: 99%

“…From this point of view, special attention has been paid in this study to the method of assessing the urban resilience of the city of Bou-Saâda. This research used the multi-criteria decision analysis (MCDA) method through the hierarchical analysis process (AHP), which is one of the most popular methods for evaluating resilience [5][6][7][8][9]. Multi-criteria decision analysis (MCDA) methods are increasingly used in various fields, "e.g., natural resource management, environmental management, and spatial planning" [5][6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…This research used the multi-criteria decision analysis (MCDA) method through the hierarchical analysis process (AHP), which is one of the most popular methods for evaluating resilience [5][6][7][8][9]. Multi-criteria decision analysis (MCDA) methods are increasingly used in various fields, "e.g., natural resource management, environmental management, and spatial planning" [5][6][7][8][9]. All these studies concluded the importance and effectiveness of the AHP method in urban issues.…”

Section: Introductionmentioning

confidence: 99%

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Spatial Modeling for Urban Resilience Assessment: Using AHP and GIS (Case Study of Bou-Saâda City, Algeria)

Mayouf

Nouibat²

2022

TSSJ

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The aim of the research is spatial modeling to assess urban resilience. A group of Delphi experts were involved, in stages, to select the final criteria. Using Multi-Criteria Decision Analysis (MCDA) by (AHP), the final criteria were ranked according to weight and importance. Criteria maps within a GIS environment were combined with AHP results, to create an Urban Resilience Map (URM). The results showed that (52.19%) of the study area achieved high resilience, (30.86%) medium resilience and (16.95%) low resilience. The results also showed that there are differences between the neighborhoods of the city of Bou-Saâda in terms of resilience that can be determined spatially. The results of this research can be used as a decision aid such as providing suggestions to planners and managers in prioritizing their interventions (such as urban renewal of neighborhoods) by conducting checks on less resilience criteria, in order to support the city's ability to respond to shocks.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Spatial Modeling for Urban Resilience Assessment: Using AHP and GIS (Case Study of Bou-Saâda City, Algeria)

Mayouf

Nouibat²

2022

TSSJ

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“…As a result of the study, disasters and natural hazards in the environmental dimensions, urban infrastructure in physical dimensions, and employment rate in socioeconomic dimensions were found to be the most influential criteria for urban resilience. Javari et al (2021) used fuzzy theory, TOPSIS, and GIS software to analyze the resilience of urban settlements in Malayer City. Lyu & Yin (2023) used AHP-FAHP-ANP-GIS to assess the risk of multi-hazards in Hongkong.…”

mentioning

confidence: 99%

Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method

Bitarafan

Hosseini

Zolfani

2023

Decis. Mak. Appl. Manag. Eng.

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Identifying and evaluating any threat against the critical infrastructures, including history, methods, abilities, and motivations, is essential for crisis management and cities' passive defense. Threats, including natural and unnatural (man-made), are directed at cities' critical assets and infrastructures. Essential assets are considered valuable components, so the slightest malfunction or damage to the body causes damage to the system. This study uses Tehran, the capital of Iran, as a case study to identify and assess man-made dangers to cities and their vital resources. This work creates an innovative integrated MCDM approach that can handle information ambiguity in crisis management. Therefore, at this stage of identifying man-made threats, library methods and interviews with experts were used, and multi-criteria decision-making techniques were implemented. Moreover, this research benefits from the grey Best-Worst method (BWM) to evaluate the research criteria and grey Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) to rank the threats. The research findings indicated that the three main threats to Tehran city are cyber, military, and terrorist attacks. Finally, a sensitivity analysis based on two practical experiments is done, and research results are verified.

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Optimizing Urban Resilience via FCM and Participatory Modeling: The Case of Joensuu Finland

Kokkinos

Iatrellis

Timonen

et al. 2023

Lecture Notes in Intelligent Transportation and Infrastructure

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Analyzing the resilience of urban settlements using multiple-criteria decision-making (MCDM) models (case study: Malayer city)

Cited by 4 publications

References 44 publications

Spatial Modeling for Urban Resilience Assessment: Using AHP and GIS (Case Study of Bou-Saâda City, Algeria)

Spatial Modeling for Urban Resilience Assessment: Using AHP and GIS (Case Study of Bou-Saâda City, Algeria)

Identification and assessment of man-made threats to cities using integrated Grey BWM- Grey MARCOS method

Optimizing Urban Resilience via FCM and Participatory Modeling: The Case of Joensuu Finland

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