Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area

Maxime Lenormand (1) , Horacio Samaniego (2) , Julio C Chaves (3) , Vinicius F Vieira (4) , Moacyr da Silva (5) , Alexandre Evsukoff (6)

1 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
2 Laboratorio de Ecoinformatica
3 Getulio Vargas Foundation
4 Federal University of Sao Joao Del Rey
5 FGV - Fundacao Getulio Vargas [Rio de Janeiro]
6 COPPE-UFRJ - Instituto Alberto Luiz Coimbra de Pós-Graduação e Pesquisa de Engenharia

Defining and measuring spatial inequalities across the urban environment remains a complex and elusive task that has been facilitated by the increasing availability of large geolocated databases. In this study, we rely on a mobile phone dataset and an entropy-based metric to measure the attractiveness of a location in the Rio de Janeiro Metropolitan Area (Brazil) as the diversity of visitors' location of residence. The results show that the attractiveness of a given location measured by entropy is an important descriptor of the socioeconomic status of the location, and can thus be used as a proxy for complex socioeconomic indicators.

Domaines: Physique et Société [physics.soc-ph]

Maxime Lenormand, Horacio Samaniego, Julio C Chaves, Vinicius F Vieira, Moacyr da Silva, et al.. Entropy as a measure of attractiveness and socioeconomic complexity in Rio de Janeiro metropolitan area. Entropy, 2020, 22, pp.368. ⟨10.3390/e22030368⟩. ⟨hal-02516839⟩