Lenormand Maxime, Samaniego Horacio, Chaves Júlio César, da Fonseca Vieira Vinícius, da Silva Moacyr Alvim Horta Barbosa, Evsukoff Alexandre Gonçalves
TETIS, Univ Montpellier, AgroParisTech, Cirad, CNRS, INRAE, 34000 Montpellier, France.
Laboratorio de Ecoinformática, Instituto de Conservación Biodiersidad y Territorio, Campus Isla Teja s/n, Valdivia 5110290, Chile.
Entropy (Basel). 2020 Mar 23;22(3):368. doi: 10.3390/e22030368.
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.
定义和衡量城市环境中的空间不平等仍然是一项复杂且难以捉摸的任务,而大型地理定位数据库可用性的不断提高为这项任务提供了便利。在本研究中,我们依靠一个手机数据集和一种基于熵的指标,将巴西里约热内卢大都市区某地点的吸引力衡量为访客居住地点的多样性。结果表明,用熵衡量的给定地点的吸引力是该地点社会经济地位的一个重要描述指标,因此可以用作复杂社会经济指标的替代指标。