Green Strategies in Mobility Planning Towards Climate Change Adaption of Urban Areas Using Fuzzy 2D Algorithm

Pamučar, Dragan; Deveci, Muhammet; Stević, Željko; Gökaşar, Ilgın; Işık, Mehtap; Coffman, D’Maris

doi:10.1016/j.scs.2022.104159

Cited by 32 publications

(10 citation statements)

References 59 publications

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“…Therefore, the efficacy of LOPCOW in the presence of subjective bias has not been tested. The model (LOPCOW-EDAS) may be extended and tested by using fuzzy and rough set based models as demonstrated in various recently published work (for instance, [143] , [144] , [145] , [146] , [147] ). Secondly, while aggregating the year wise rankings the BC model does not consider priority of any single year.…”

Section: Discussionmentioning

confidence: 99%

A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

Biswas

Bandyopadhyay

Mukhopadhyaya

2022

Decision Analytics Journal

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Section: Discussionmentioning

confidence: 99%

A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

Biswas

Bandyopadhyay

Mukhopadhyaya

2022

Decision Analytics Journal

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“…Research has employed methodologies such as fuzzy TOPSIS-PROMETHEE II [18], AHP-TOPSIS [19], DPSIR-PROMETHEE [20], 2-Tuple-GDM [21], SF-SWARA-MARCOS [22], and TOPSIS [23] for the evaluation of adaptation scenarios for climate change impacts. Additionally, alternative methodologies have been suggested, including T2NN-MEREC-MARCOS [24], fuzzy Einstein WASPAS [25], fuzzy 2D algorithm [26], IVFF-MEREC-RS-MULTIMOORA [27], IVFF-CRITIC-RS-DNMA [28], C-IFS-FWZIC-ARAS [29] to explore various aspects of climate change.…”

Section: Literature Reviewmentioning

confidence: 99%

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

Bouraima,

Ibrahim,

Qiu

et al. 2024

J. Soft. Comput. Decis. Anal.

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Decision-makers, researchers, practitioners, and stakeholders often struggle with selecting and prioritizing strategies to manage climate change risks. While recent research extensively explores this issue, the emphasis has largely been on regions other than Africa. This is significant, considering Africa’s anticipated exposure to various and severe impacts of climate change. This study applied a two-stage model that integrates the Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) methods within a unique framework under the influence of spherical fuzzy (SF) conditions. In the initial stage, SF-SWARA determines the relative importance of the criteria, while the subsequent stage involves the SF-WASPAS method to rank the strategies. While the most critical challenges are limited access to finance and inadequacies in climate data, scenarios, and impact models, the solution to be considered is the promotion of a well-coordinated capacity-building programme. Furthermore, a comprehensive sensitivity analysis was conducted to validate the applicability of the proposed model. This research not only identifies and explains the challenges associated with climate change risks management in the African context but also significantly contributes to the body of knowledge by outlining and prioritizing the strategies required to address these challenges.

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“…Deveci et al (2022) investigated the need for considering societal dynamics in an optimal action plan and explored how implemented actions can impact and reshape CCM strategies. Pamucar et al (2022) addressed a literature gap by examining the selection procedure for the most effective green approach to CC. Deveci et al (2023) enhanced studies on the flexibility of transportation networks in the face of CC.…”

Section: Applications Of Mcdm To Ccm Studiesmentioning

confidence: 99%

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

Qiu,

Bouraima,

Badi

et al. 2024

CIS

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Climate change (CC) represents a paramount environmental challenge, necessitating the deployment of sustainable, low-carbon strategies particularly in developing regions such as Africa. This study introduces a novel decision-making framework aimed at enhancing the prioritization of policies to combat the adverse effects of CC. The proposed two-stage model employs the integration of Step-Wise Weight Assessment Ratio Analysis (SWARA) and Weighted Aggregated Sum Product Assessment (WASPAS) under spherical fuzzy (SF) conditions to address the strategic sequencing of sustainable policies. Initially, SF-SWARA is utilized to ascertain the relative significance of diverse criteria. Subsequently, the SF-WASPAS method ranks these policies, facilitating informed decision-making. The primary obstacles identified include limited institutional capacity, insufficient financial resources, and technological constraints, for which strategic alternatives are proposed. Moreover, rigorous sensitivity and comparative analyses affirm the model's applicability. By systematically delineating and prioritizing necessary policies, this study contributes significantly to the scholarly discourse on climate mitigation (CM) in an African context.

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Green Strategies in Mobility Planning Towards Climate Change Adaption of Urban Areas Using Fuzzy 2D Algorithm

Cited by 32 publications

References 59 publications

A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

A multi-criteria based analytic framework for exploring the impact of Covid-19 on firm performance in emerging market

Integrated Spherical Decision-Making Model for Managing Climate Change Risks in Africa

A Decision-Making Model for Prioritizing Low-Carbon Policies in Climate Change Mitigation

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