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Trajectory Data Analyses for Pedestrian Space-time Activity Study
Published on: February 25, 2013
Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes
Laura Lotero1, Rafael G Hurtado2, Luis Mario Floría3
1Facultad de Ingeniería Industrial, Universidad Pontificia Bolivariana, Medellín, Colombia; Departamento de Ciencias de la Computación y de la Decisión, Universidad Nacional de Colombia, Medellín, Colombia.
Abstract:
We analyse the urban mobility in the cities of Medellín and Manizales (Colombia). Each city is represented by six mobility networks, each one encoding the origin-destination trips performed by a subset of the population corresponding to a particular socio-economic status. The nodes of each network are the different urban locations whereas links account for the existence of a trip between two different areas of the city. We study the main structural properties of these mobility networks by focusing on their spatio-temporal patterns. Our goal is to relate these patterns with the partition into six socio-economic compartments of these two societies. Our results show that spatial and temporal patterns vary across these socio-economic groups. In particular, the two datasets show that as wealth increases the early-morning activity is delayed, the midday peak becomes smoother and the spatial distribution of trips becomes more localized.
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