Uma abordagem para recomendação de rotas sob a perspectiva de mobilidade em cidades de 15 minutos a partir da preferência dos usuários.

Abstract

Political decisions and post-war market trends strongly influenced how citizens dealt with urban mobility and the consequences of the city’s designs. The increasing usage of cars and other private vehicles generates multiple impacts on the urban grid, producing especially urban sprawl and increasing the distances to access any kind of services, including, and bring them the focus of this study, the services considered essential for every citizen and their civil well being. Improving mobility and accessibility of services which all people have the right to do so, is not a fast nor uncomplicated task, requiring many public policies with different scopes, contexts, and times of execution. This study asks, “Can we combine computational strategies to minimize the lack of urban mobility now?”. Moreover, urban mobility raises adjacent questions about what “essential service” means, how to classify them, and the best way to access them. It is crucial to notice that different citizens require different means of access or facilities, and only some locations offer these services. Here, approaches to deal with these scenarios, strategies to represent the city grid digitally as graphs, how to map locations and their characteristics, and also algorithms to suggest the best locations for the citizens are discussed in this work. We will also address the multiple ways to make simulations more realistic, different test cases, and the mapping of real-life road conditions. Finally, combining different techniques and test cases made it possible to derive the most promising strategies to ensure an efficient transfer of people across the urban grid, along with insights on how to make the proposed pipeline more fine-tuned for place recommendations and route designs in the future.