Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model

Deveci, Muhammet; Gökaşar, Ilgın; Mishra, Arunodaya Raj; Rani, Pratibha; Ye, Zhen

doi:10.1016/j.engappai.2023.105824

Cited by 41 publications

(8 citation statements)

References 44 publications

(46 reference statements)

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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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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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“…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. Mishra et al (2023) outlined strategies to decrease greenhouse gas emissions from transportation, aiding urban CC policies.…”

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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“…The MEREC method has gained significant popularity among researchers and is increasingly applied in various domains. Deveci et al (2023) has combined the MEREC method with the q‐rung orthopair fuzzy set and the stepwise weight analysis ratio assessment to devise a decision support system for evaluating sustainable urban transportation in the metaverse. Esangbedo and Tang (2023) has proposed the integration of the MEREC and the multi‐attribute ideal‐real comparative analysis for weighting to evaluate carbon reduction schemes.…”

Section: Literature Reviewmentioning

confidence: 99%

Toward sustainable development: Developing a decision‐making framework for cross‐sectoral engagement in green procurement

Tuffour,

Chen,

Opoku‐Mensah

et al. 2023

Sustainable Development

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Green procurement plays a crucial role in mitigating emissions, promoting sustainable practices, and achieving the objectives of keeping global warming below the 2°C threshold. However, the implementation of green procurement faces significant challenges. Despite the recognized importance of sectoral collaboration, cross‐sectoral engagement (CSE) has not yet been widely acknowledged as an essential principle in green procurement implementation. This study aims to address these implementation challenges by developing a comprehensive decision‐making framework for CSE in public–private partnership projects, with a focus on advancing sustainable development goals. The research identifies and prioritizes barriers to CSE from multiple theoretical perspectives, employing an integrated approach that combines the Method Based on the Removal Effects of Criteria (MEREC) and the Combinative Distance‐Based Assessment (CODAS) method. The results reveal three primary factors hindering cross‐sectoral engagement: conflicting stakeholder interests and priorities, power imbalances, and communication gaps and language barriers. To promote effective collaboration, policymakers are urged to invest in capacity building initiatives that enhance stakeholders' understanding of green procurement principles and encourage their active participation in achieving sustainable development objectives. Theoretically, this study has, for the first time, developed a CSE framework that can be used to promote green practice implementation, integrate four theories to holistically access barriers to cross‐sectoral collaboration, and show the integration of the MEREC CODAS MCDM technique.

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Evaluation of climate change-resilient transportation alternatives using fuzzy Hamacher aggregation operators based group decision-making model

Cited by 41 publications

References 44 publications

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

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

Toward sustainable development: Developing a decision‐making framework for cross‐sectoral engagement in green procurement

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