AI Article Synopsis
- The trend towards decreasing private car ownership is driven by Mobility as a Service (MaaS) and ICT, catering to environmental needs and enhancing mobility reliability in smart cities.
- Electric vehicle sharing (EVS) is emerging as a viable model for sustainable transport, addressing traffic congestion and pollution while promoting low-carbon development.
- A comprehensive evaluation system for EVS service performance has been developed, identifying EVCARD as the top performer, with a focus on shared electric vehicles and charging stations as key components for optimal service selection.
Article Abstract
Current mobility trend indicates that the number of private cars will decline in the near future. One of the reasons for this trend is the development of Mobility as a Service (MaaS), which in conjunction with information and communication technologies (ICT) drive the application of transport services in smart city, respond to environmental issues, and provide users with reliable mobility. Electric vehicle sharing (EVS) travel has been regarded as a feasible mainstream model of sustainable mobility services in the future, which can effectively improve the utilization rate of motor vehicles, solve the problems of traffic congestion, environmental pollution and urban land, and promote low-carbon and sustainable development. To help electric vehicle operators improve service quality, the establishment of EVS program service performance evaluation is an urgent problem to be solved. Based on this, this paper firstly constructs the evaluation index system from 5 aspects: electric vehicle, charge station, user experience, payment and intelligent services through literature review and Delphi method. Secondly, the criteria importance though intercriteria correlation (CRITIC) and the improved G1 method are introduced to overcome the shortcomings of the single method, and the combined weights are calculated by the multiplication normalization method. Finally, a decision model based on intuitionistic fuzzy soft set (IFSS)-prospect theory and VIse Kriterijumski Optimizacioni Racun (VIKOR) method is constructed to select the best service performance of EVS program, and its feasibility and effectiveness are verified by sensitivity analysis and comparative analysis. The result shows that EVCARD is the best performing EVS program, and shared electric vehicle and charge station are the key factors to be considered in the selection. This study provides scientific and feasible guidance for the optimal service performance selection of EVS programs, which is of great significance for users to choose EVS programs.
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Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11542865 | PMC |
| http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309512 | PLOS |
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