Прегледај по Аутор "Deveci, Muhammet"

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    Green Strategies in Mobility Planning Towards Climate Change Adaption of Urban Areas Using Fuzzy 2D Algorithm
    (Elsevier, 2022) Pamucar, Dragan; Deveci, Muhammet; Stević, Željko; Gokasar, Ilgin; Isik, Mehtap; Coffman, D'Maris
    Urban mobility planning must urgently confront the challenges attendant to the low carbon transition and green transformation. The necessary paradigm shift from the traditional approaches to embracing environmental sustainability requires maintaining a firm and stable balancing act between opposing forces. The policy-making process in the transition period is complex and requires a detailed analysis that the academic literature lacks. This study analyzes the decision-making process for urban mobility planning to contribute the academic literature on sustainable transitions. In order to illustrate the complexities in the decision-making process, we design an original case scenario. In the case, the planners are supposed to choose the best project from among four recent green strategies. In the process, they need to take the conflicting requirements on the social, economic, environmental and technical issues into account. Sixteen constraints reflect the available physical and financial conditions. Because the decision-making process includes complexities, a novel two-stages model is introduced in the method that is used to solve the problem. In the first stage, the fuzzy D PIvot Pairwise RElative Criteria Importance Assessment (PIPRECIA) algorithm is applied to determine the weights. In the second stage, the fuzzy D Dombi (fuzzy 2D) algorithm is proposed to evaluate the alternatives. The results show that societal dynamics are crucially important in choosing the best alternative. Among four alternatives, the one that is inclusive and makes the existing investments more efficient is highly prioritized. Our findings offer policy implications emphasizing the importance of green mobility projects that favors the social benefits as well as financial issues.
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    Integrated intelligent decision support model for ranking regional transport infrastructure programmes based on performance assessment
    (Elsevier, 2023) Bayane Bouraima, Mouhamed; Qiu, Yanjun; Stevć, Zeljko; Marinković, Dragan; Deveci, Muhammet
    In recent years, major regional transport infrastructure programmes have been adopted throughout the African continent. However, it has been noticed that while some programmes seem to be more effective, others have shown opposite outcomes. On this point, understanding the difference in the execution outcomes of these programmes is important for stakeholders. In this study, an improved fuzzy Step-Wise Weight Assessment Ratio Analysis based on the fuzzy Bonferroni aggregator is integrated with fuzzy Measurement of Alternatives and Ranking according to COmpromise Solution to assess the most critical factors affecting the performance of the African regional infrastructure programmes and identify the best regional transportation infrastructure programme based on its performance. Four regional transportation infrastructure programmes are considered. To rank these programmes, five criteria are defined. The results show that “leadership” and “availability of finance” are the most critical factors while the fourth alternative “East African road network project” is the best alternative among the four possible programmes. The robustness of the proposed methodology is validated through a three-phase sensitivity analysis. The results confirmed the stability and applicability of the proposed methodology.