Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area
by
Maxime Lenormand 1,†
, Horacio Samaniego 2,3,4,†, Júlio César Chaves 5, Vinícius da Fonseca Vieira 6, Moacyr Alvim Horta Barbosa da Silva 5 and Alexandre Gonçalves Evsukoff 7,*
Maxime Lenormand 1,†, Horacio Samaniego 2,3,4,†, Júlio César Chaves 5, Vinícius da Fonseca Vieira 6, Moacyr Alvim Horta Barbosa da Silva 5 and Alexandre Gonçalves Evsukoff 7,*
1
TETIS, Univ Montpellier, AgroParisTech, Cirad, CNRS, INRAE, 34000 Montpellier, France
2
Laboratorio de Ecoinformática, Instituto de Conservación Biodiersidad y Territorio, Campus Isla Teja s/n, Valdivia 5110290, Chile
3
Instituto de Ecología y Biodiversidad, Facultad de Ciencias, Universidad de Chile, Las Palmeras, Ñuñoa, Santiago 7800003, Chile
4
Instituto de Sistemas Complejos de Valparaíso, Subida Artillería 470, Valparaíso 2360448, Chile
5
Getulio Vargas Foundation, Praia de Botafogo 190, Rio de Janeiro, RJ, 22250-900, Brazil
6
Department of Computer Science, Federal University of São João Del Rey, Sao João Del Rey, MG, 36301-360, Brazil
7
Coppe/Federal University of Rio de Janeiro, P.O. Box 68506, Rio de Janeiro, RJ 22941-972, Brazil
*
Author to whom correspondence should be addressed.
†
These authors contributed equally to this work.
Entropy 2020, 22(3), 368; https://doi.org/10.3390/e22030368
Received: 15 January 2020 / Revised: 6 March 2020 / Accepted: 13 March 2020 / Published: 23 March 2020
(This article belongs to the Special Issue Information Theory for Human and Social Processes)
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.
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MDPI and ACS Style
Lenormand, M.; Samaniego, H.; Chaves, J.C.; da Fonseca Vieira, V.; da Silva, M.A.H.B.; Evsukoff, A.G. Entropy as a Measure of Attractiveness and Socioeconomic Complexity in Rio de Janeiro Metropolitan Area. Entropy 2020, 22, 368.
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