Rethinking Urban Mobility from Sustainable Cities to Intelligent Transportation Systems Using TOPSIS methods

This article examines the concept of "smart" in relation to urban mobility and sustainability, and identifies inconsistencies in the current literature. The study explores how smart technologies can solve transportation problems, focusing on integrating artificial intelligence and machine learning to improve autonomy in transportation services. The study also emphasizes the importance of environmental protection in urban mobility strategies by focusing on low-emission transport and the move towards Mobilityas-a-Service (MaaS). This paper highlights the need for comprehensive transportation models and addresses the challenges cities face in implementing them. This study addresses an important gap in the developing field of the smart urban movement, where the meaning and implementation of "smart" is still unclear, despite significant investments in technology and infrastructure. By examining the link between “smart” urban mobility and sustainability, the research points to inconsistencies in the existing literature and emphasizes the need for a more defined framework for smart mobility initiatives. The findings are significant in that they emphasize the role of integrated technological solutions—such as artificial intelligence and machine learning— in enhancing transport autonomy, improving urban freight logistics, and advancing sustainable, low-emission mobility practices. Bus Rapid Transit (BRT), Light Rail Transit (LRT), Electric Scooters (E-Scooters), Shared Ride-Hailing Services, Bicycle Sharing Systems. Evaluation Preference: Cost Efficiency (CE), Environmental Impact Reduction (EIR), Implementation Cost (IC), Congestion Contribution (CC). The results indicate that Bicycle Sharing Systems achieved the highest rank, while Bus Rapid Transit (BRT) had the lowest rank being attained. The value of the dataset for Optimizing urban mobility through smart transportation systems, according to the weighted product method, Bicycle Sharing Systems achieves the highest ranking.