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Prioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach

dc.contributor.authorBouraima, Mouhamed Bayane
dc.contributor.authorQiu, Yanjun
dc.contributor.authorAyyildiz, Ertugrul
dc.contributor.authorYildiz, Aslihan
dc.date.accessioned2026-06-27T14:50:45Z
dc.date.issued2023
dc.description.abstractThe East African Community, inspired by successful trading blocs, has already begun major transportation strategic plans that will necessarily require large investments. Additionally, significant efforts have been made to harmonize regional transportation legislation and regulations. However, some challenges that may arise in developing such a sustainable regional transportation infrastructure should be carefully determined. In this study, a spherical fuzzy multi-criteria decision-making method is proposed. Ten criteria characterizing the challenges in the regional transportation infrastructure problem have been identified as a result of the pertaining reviewed literature and expert opinions. These criteria were used to prioritize seven strategies for sustainable regional transportation infrastructure. To address complex group decision-making issues, this study presents the integration of Weighted Aggregated Sum Product Assessment (WASPAS) with Step-Wise Weight Assessment Ratio Analysis (SWARA) in a spherical fuzzy (SF) environment. The weight and importance levels of criteria are evaluated using SF-SWARA. SF-WASPAS is then used to prioritize the strategies based on the SF-SWARA-weighted criteria. To assess the effectiveness of the proposed methodology, a sensitivity analysis is carried out, revealing that research and development (S7) and adequate institutional and regulatory framework (S4) are the most appropriate strategies for dealing with these challenges, respectively. The study offers a novel approach for regional political leaders who aim to promote progressive policy, regulatory, and economic frameworks, along with a strong human and institutional capacity for collaborative research, technology, and innovation.en
dc.description.urihttps://doi.org/10.1007/s00521-023-08660-4
dc.identifier.doi10.1007/s00521-023-08660-4
dc.identifier.eissn1433-3058
dc.identifier.endpage17986
dc.identifier.issn0941-0643
dc.identifier.issue24
dc.identifier.startpage17967
dc.identifier.urihttps://hdl.handle.net/20.500.14981/65474
dc.identifier.volume35
dc.identifier.wos000999615700001
dc.language.isoeng
dc.publisherSPRINGER LONDON LTD
dc.relation.ispartofNEURAL COMPUTING & APPLICATIONS
dc.subjectTransportation infrastructure
dc.subjectWASPAS
dc.subjectSWARA
dc.subjectSpherical fuzzy sets
dc.subjectLOCATION SELECTION
dc.subjectWASPAS METHOD
dc.subjectSETS
dc.subjectPERSPECTIVE
dc.subjectVEHICLE
dc.subjectAFRICA
dc.subjectComputer Science
dc.titlePrioritization of strategies for a sustainable regional transportation infrastructure by hybrid spherical fuzzy group decision-making approach
dc.typeArticle
dspace.entity.typePublication
local.import.sourceWOS

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