Prioritization of sustainable mobility sharing systems using integrated fuzzy DIBR and fuzzy-rough EDAS model

• Published in: Sustainable cities and society Vol. 82; p. 103910
• Main Authors: Pamucar, Dragan, Simic, Vladimir, Lazarević, Dragan, Dobrodolac, Momčilo, Deveci, Muhammet
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01-07-2022
• Subjects: DIBR; E-bike; EDAS; Electric vehicle; Shared mobility; Sustainable mobility; EDAS; Electric vehicle; Sustainable mobility; DIBR; Shared mobility; E-bike
• ISSN: 2210-6707; 2210-6715
• DOI: 10.1016/j.scs.2022.103910

•Prioritization of sustainable mobility sharing systems is addressed for the first time.•The three-level practical framework offers a primer for city authorities.•Integrated fuzzy DIBR and fuzzy-rough EDAS model is introduced to solve the problem.•The case study offers guidelines on how to prioritize systems in a real-world context.•E-bike and EV mobility sharing systems are the most advantageous alternatives.
The application of the concept of shared mobility can mitigate numerous negative impacts of urban transportation and improve the city's sustainability. This study aims to address and solve the problem of prioritizing sustainable mobility sharing systems to promote sustainability and foster the concept of shared mobility. Four sustainable mobility sharing systems are proposed. They are electric vehicle (EV) sharing, autonomous EV sharing, e-bike sharing, and e-scooter sharing systems. A multi-level practical framework, including four clusters and 20 criteria offers a primer on how city authorities should evaluate mobility sharing systems in real-life settings. Also, this research introduces an advanced decision-making model to prioritize sustainable mobility sharing systems. The model integrates the DIBR (Defining Interrelationships Between Ranked criteria) method and the EDAS (Evaluation based on Distance from Average Solution) method in a fuzzy-rough environment. A case study of Belgrade, Serbia, is provided to offer decision-making guidelines in a real-world context. The practical findings show that “e-bike sharing” is an advantageous alternative in the context of Belgrade. The integrated fuzzy DIBR and fuzzy-rough EDAS model could serve as a powerful tool for rational and objective solving not only the newly addressed problem but also other emerging decision-making problems related to sustainable cities.
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