Characterization of patterns of urban displacements in Fortaleza with the use of data from georeferenced social networks
DOI:
https://doi.org/10.14295/transportes.v28i5.2153Keywords:
Social network, Pattern of displacement, Socioeconomic characterization, Spatial regressionAbstract
Traditional techniques for obtaining data on mobility had suffered a delay process. In this scenario, alternative, low cost techniques capable of incorporating the dynamics of these displacement patterns have been attractive. These include databases from location-based social networks. Therefore, the main objective of this work was the elaboration of a method to characterize mobility patterns in Fortaleza using Twitter and Instagram data. The proposed method allowed the assignment of trips from the check-ins, identifying the OD pairs. In addition, a method of socioeconomic characterization of individuals through spatial regression was suggested. The results indicate that the method was effective in identifying displacement patterns of medium and high income people, mainly for leisure travel. However, one of the results constrains was the inability of representing the lower income population travel behaviour at the city of Fortaleza.Downloads
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