Unknown

Dataset Information

0

Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes.


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.

SUBMITTER: Lotero L 

PROVIDER: S-EPMC5098956 | biostudies-literature | 2016 Oct

REPOSITORIES: biostudies-literature

altmetric image

Publications

Rich do not rise early: spatio-temporal patterns in the mobility networks of different socio-economic classes.

Lotero Laura L   Hurtado Rafael G RG   Floría Luis Mario LM   Gómez-Gardeñes Jesús J  

Royal Society open science 20161012 10


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 focusi  ...[more]

Similar Datasets

| S-EPMC7924485 | biostudies-literature
| S-EPMC7310234 | biostudies-literature
| S-EPMC4606827 | biostudies-other
| S-EPMC5310761 | biostudies-literature
| S-EPMC6826670 | biostudies-literature
2016-05-25 | GSE31713 | GEO
| S-EPMC4659588 | biostudies-literature
| S-EPMC4929911 | biostudies-literature
| S-EPMC5908188 | biostudies-literature
| S-EPMC4452080 | biostudies-literature