Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form
dc.authorscopusid | 57211492056 | |
dc.authorscopusid | 57194545622 | |
dc.authorscopusid | 54080216100 | |
dc.authorscopusid | 57815365900 | |
dc.authorscopusid | 7005545253 | |
dc.contributor.author | Görçün, Ömer Faruk | |
dc.contributor.author | Görçün,Ö.F. | |
dc.contributor.author | Pamucar,D. | |
dc.contributor.author | Arya,L. | |
dc.contributor.author | Simic,V. | |
dc.date.accessioned | 2024-06-23T21:39:23Z | |
dc.date.available | 2024-06-23T21:39:23Z | |
dc.date.issued | 2024 | |
dc.department | Kadir Has University | en_US |
dc.department-temp | Saha A., Department of Computing Technologies, SRM Institute of Science and Technology (SRMIST), Tamil Nadu, Kattankulathur, 603203, India; Görçün Ö.F., Department of Business Administration, Faculty of Economics, Administration, and Social Science, Kadir Has University, Cibali, Fatih, Istanbul, 34083, Turkey; Pamucar D., Faculty of Organizational Sciences, Department of Operation Research, University of Belgrade, Serbia, Department of Industrial Engineering & Management, Yuan Ze University, Taoyuan City, 320315, Taiwan, Department of Mechanics and Mathematics, Western Caspian University, Baku, Azerbaijan; Arya L., Department of Computer Science and Engineering, Koneru Lakshmiah Education Foundation, Vaddeswaram, Andhra Pradesh, 522302, India; Simic V., University of Belgrade, Faculty of Transport and Traffic Engineering, Vojvode Stepe 305, Belgrade, 11010, Serbia, Department of Computer Science and Engineering, College of Informatics, Korea University, Seoul, 02841, South Korea | en_US |
dc.description.abstract | In Turkey, the transportation industry's greenhouse gas (GHG) emissions increased by 147.1% between 1990 and 2019. Today, this transportation industry (i.e., freight and passenger) is among the significant contributors to greenhouse gas emissions in Turkey's megacities. Moreover, 65.43% of short-distance trips between home to work and home to school have been made by private automobiles in Istanbul and increasing concerns about environmental pollution have led practitioners to seek practical, robust, and effective solutions to reduce GHG emissions. Shared electric scooters have rapidly become popular for end-users and practitioners in megacities, depending on their valuable advantages. However, the rapid spread of micro-mobility, characterized by e-scooters, has also raised questions about this system's sustainability, suitability, and applicability. Thus, there are some critical and noteworthy gaps in this issue. This study investigates the factors affecting the suitable e-scooter selection for a sustainable urban transport system. Besides, it aims to develop a methodological framework for assessing the available e-scooter alternatives. For this purpose, a novel negotiation approach, a new form of the Delphi technique, was developed with the help of Fermatean fuzzy sets to identify the influential criteria. Also, the current paper presents a consensus-based MULTIMOORA (Multiple Objective Optimization on the basis of Ratio Analysis plus Full Multiplicative Form) decision-making model based on Fermatean fuzzy sets to address the appraisal problem concerning e-scooter selection. The current paper indicated that economic measures such as acquisition price and upkeep costs affect the e-scooter selection processes. In addition, an optimization model based on cross-entropy and dispersion measures is utilized to compute criteria weights. It highlighted that the costs of e-scooters are still high, and operators consider these criteria instead of the technical and operational features of the e-scooters. Finally, the validity check executed to test the robustness and trustworthiness of the model affirms the model's firmness and trustworthiness. © 2024 Elsevier Ltd | en_US |
dc.identifier.citation | 0 | |
dc.identifier.doi | 10.1016/j.engappai.2024.108662 | |
dc.identifier.issn | 0952-1976 | |
dc.identifier.scopus | 2-s2.0-85194300935 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.uri | https://doi.org/10.1016/j.engappai.2024.108662 | |
dc.identifier.uri | https://hdl.handle.net/20.500.12469/5871 | |
dc.identifier.volume | 134 | en_US |
dc.identifier.wosquality | Q1 | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.relation.ispartof | Engineering Applications of Artificial Intelligence | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Consensus reaching model | en_US |
dc.subject | e-scooter | en_US |
dc.subject | Fermatean fuzzy sets | en_US |
dc.subject | Micro-mobility | en_US |
dc.subject | Sustainability | en_US |
dc.title | Evaluation of shared micro-mobility systems for sustainable cities by using a consensus-based Fermatean fuzzy multiple objective optimization and full multiplicative form | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication | |
relation.isAuthorOfPublication | 4d0f6004-dbe4-4e79-befd-457af3bb133f | |
relation.isAuthorOfPublication.latestForDiscovery | 4d0f6004-dbe4-4e79-befd-457af3bb133f |