Advantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision making

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dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridYASAR, ILGIN/0000-0001-9896-9220
dc.authoridDeveci, Muhammet/0000-0002-3712-976X
dc.authorwosidPamucar, Dragan/AAG-8288-2019
dc.authorwosidYASAR, ILGIN/N-7044-2016
dc.authorwosidDeveci, Muhammet/V-8347-2017
dc.contributor.authorDeveci, Muhammet
dc.contributor.authorGokasar, Ilgin
dc.contributor.authorPamucar, Dragan
dc.contributor.authorZaidan, Aws Alaa
dc.contributor.authorWei, Wei
dc.contributor.authorPedrycz, Witold
dc.date.accessioned2024-05-19T14:50:19Z
dc.date.available2024-05-19T14:50:19Z
dc.date.issued2024
dc.departmentİstinye Üniversitesien_US
dc.description.abstractCity governments prioritize mobility in urban planning and policy. Greater mobility in a city leads to happier citizens. Although enhanced urban mobility is helpful, it comes with costs, notably in terms of climate change. Transportation systems that enable urban mobility often emit greenhouse gases. Cities must prioritize digital carbon footprint awareness. Cities may reduce the environmental impact of urban mobility while keeping its benefits by close monitoring and reducing the carbon footprint of digital technologies like transportation applications, ride-sharing platforms, and smart traffic control systems. The aim is to advantage prioritize three alternatives, namely doing nothing, upgrading and optimizing data centers and networks, and using renewable energy sources for data centers and networks to minimize the digital carbon footprint using the proposed decision making tool. This study consists of two stages. In the first stage, fuzzy Aczel-Alsina functions (fuzzy Aczel-Alsina weighted assessment - ALWAS method) based Ordinal Priority Approach (OPA) is proposed to find the weights of criteria. Secondly, fuzzy ALWAS Combined Compromise Solution (CoCoSo) model improved to evaluate and choose the best alternative among the three alternatives. The improved ALWAS-CoCoSo model enables flexible nonlinear processing of uncertain information and simulation of different risk levels. Besides, we proposed the improved fuzzy OPA algorithm for processing uncertain and incomplete information. The case study is provided to the decision-makers to advantage prioritize the alternatives based twelve criteria organized into four aspects, including digital carbon footprint, externalities, technical capability, and economics. The ranking results reveal that A(3) = 2.445 is the best among the three alternative, while A(1) = 1.705 is the worst alternative. The results show that the best way to reduce the digital carbon footprint is to use renewable energy sources to power data centers and networks (A(3)).en_US
dc.identifier.doi10.1016/j.asoc.2023.111136
dc.identifier.issn1568-4946
dc.identifier.issn1872-9681
dc.identifier.scopus2-s2.0-85181166721en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org10.1016/j.asoc.2023.111136
dc.identifier.urihttps://hdl.handle.net/20.500.12713/5667
dc.identifier.volume151en_US
dc.identifier.wosWOS:001147391100001en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.ispartofApplied Soft Computingen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.snmz20240519_kaen_US
dc.subjectUrban Mobilityen_US
dc.subjectDigital Carbon Footprinten_US
dc.subjectMulti-Criteria Decision Makingen_US
dc.subjectFuzzy Aczel-Alsina Functionsen_US
dc.subjectOpa Methoden_US
dc.subjectCocosoen_US
dc.titleAdvantage prioritization of digital carbon footprint awareness in optimized urban mobility using fuzzy Aczel Alsina based decision makingen_US
dc.typeArticleen_US

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