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Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area.

Maxime LenormandHoracio SamaniegoJúlio César ChavesVinícius da Fonseca VieiraMoacyr Alvim Horta Barbosa da SilvaAlexandre Gonçalves Evsukoff
Published in: Entropy (Basel, Switzerland) (2020)
Defining and measuring spatial inequalities across the urban environment remains a complex and elusive task which 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.
Keyphrases
  • big data