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The problem of choosing the optimal urban transport modes is a broad and challenging subject to study and will be addressed in this document. The current urban transport problem affects the environment the most. Many modes of urban transport use energy from exhaust gas, which is a significant air pollutant. The fuels that powering those modes of transportation are also a non-renewable source of energy, which means that they will run out at some point and no longer be able to available. The solution to this problem could be to replace urban transport combustion vehicles with green-energy vehicles. One such means is electric scooters, whose energy source can be renewable electricity. Currently, there are many types of electric scooters on offer, which differ from each other by some important parameters. Choosing the optimum electric scooter is a significant issue. Investing in electric scooters for the city can bring big economic and environmental profits. These issues would be the primary motivation and justification to undertake this research. In this paper, the Characteristic Objects METhod (COMET) is used to identify the assessment model electric scooters for the sustainable development of cities. This approach has an extremely rare feature in the Multi-Criteria Decision Analysis (MCDA) methods, i.e., it is resistant to the paradox of reversal of rankings and is easy to use for an expert. This technique is crucial as an uncomplicated and effective way of solving decision-making problems. For the problem of selecting electric scooters, an expert was chosen, who identified the model by making pairwise comparisons of characteristic objects. Then, the model was used to evaluate the alternatives, and so a ranking of considered electric scooters was created. Once identified, the model can evaluate the next set of alternatives, which is important in such a dynamic market of new technologies.
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Kizielewicz et al. (2020) studied this question.
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