Akademik Veri Yönetim Sistemi
Engineering Applications of Artificial Intelligence, cilt.122, 2023 (SCI-Expanded)
Scooter sharing has gained tremendous popularity among university campuses as in other places with many visitors. In practice, shared dockless scooters are more widely used than dock-based scooters. However, dockless scooters can cause inefficient mobility in case of the needs such as recharging and finding the nearest scooter among scattered ones in various places. Since the scooter-sharing literature still has significant knowledge gaps regarding identifying an optimal deployment of scooter-sharing stations, this paper aims to determine the necessary criteria to be considered while deploying scooter-sharing stations and identifying the best locations based on a university campus case using an integrated interval type-2 fuzzy BWM-MARCOS model. This study focuses on a university case that can be exemplary for other universities and similar locations, including many people in their various parts. Universities are bounded areas, and their visitors are mostly the same people for a long time. Therefore, first location selection and corrective actions in time may give more traceable and precise results. This research identifies the main criteria and presents a systematic road map for location selection of shared e-scooter stations, applying ITF2-BWM to determine the importance weights of the location selection criteria and employing IT2F-MARCOS to select the most optimal shared e-scooter stations. Hence, the current paper differs from past studies concerning the studied case and the proposed integrated model. A comparative study with IT2F-TOPSIS is employed to strengthen the accuracy of the results produced by the proposed model. Also, a sensibility analysis of the results was performed to test how changes in criteria weights would affect the final scores of alternative locations.