Enriquecendo Modelos de Mobilidade Urbana com Padrões Espaço-Temporais e Estratos Socioeconômicos

Abstract

Este trabalho analisa a mobilidade urbana de Curitiba por meio do uso do transporte público. Com a população dividida em subconjuntos correspondentes a estratos socioeconômicos, foram estabelecidas redes onde os vértices correspondem aos bairros da cidade e as arestas representam a existência de um deslocamento entre dois bairros. Para estudar as principais propriedades estruturais dessas redes de mobilidade foram analisados os seus padrões espaço-temporais. Os resultados mostram que padrões espaciais e temporais variam entre os diferentes grupos socioeconômicos. Em particular, o conjunto de dados analisado mostra que, com o aumento da riqueza, a atividade matinal é adiada (em média por 2h) e a distribuição espacial das viagens torna-se mais localizada, com diferenças maiores que 10 km entre as classes.

Multilayered Analysis of Urban Mobility

“…We notice the predominance of early morning hours (6 am and 7 am) when considering the vertex with the highest general degree and the highest degree of output in each class, as well as a high occurrence of late afternoon hours (5 pm and 6 pm) in vertices with the highest degree of entry, reinforcing the temporal patterns found in [14], which shows two relevant peaks in the day, one in the early morning and the other in the late afternoon. However, with the MAG, it is possible to observe, simultaneously to the time, the neighborhood present in these central points, showing a strong route with origin in Tatuquara for the CMB class, Cidade Industrial for the CM class, Santa Cândida for the CMA class and Centro for the CAB class.…”

“…The neighborhoods Capão Raso, Água Verde, Vista Alegre and Bairro Alto still make up the most intense routes, with edges weighing less than 294. This result also characterizes the mobility graph created from users' origin and destination matrix in our previous work [14]. However, with the MAG it is possible to identify the socioeconomic class of the user and the times when these more intense routes occur.…”

“…Still, it incorporates a technique not explored in the cited works, which is an approach that uses the Multi-Aspect Graph (MAG). We compare some results of this study with the one presented previously [14], identifying the nuances that the MAG allows in a more detailed study of urban mobility in Curitiba.…”

“…Our previous study [14] analyzed urban mobility in Curitiba through public transit in the city. We used the city's neighborhoods to establish the mobility graph, where the vertices represented the neighborhoods and the edges represented the existence of a route between them.…”

“…This work aims to use a MAG to characterize a complex system, in this case, urban mobility using public transit in the city of Curitiba. In this sense, we make a comparison with the results presented in our previous work [14], in which we created a model representing the origin and destination routes of public transit users in Curitiba using a traditional graph structure. From this structure, we extract spatio-temporal patterns considering subsets corresponding to socioeconomic strata.…”