Predicting socio-economic levels of urban regions via offline and online indicators.
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ABSTRACT:
SUBMITTER: Ren Y
PROVIDER: S-EPMC6619744 | biostudies-literature | 2019
REPOSITORIES: biostudies-literature
Publications
Predicting socio-economic levels of urban regions via offline and online indicators.
Ren Yi Y Xia Tong T Li Yong Y Chen Xiang X
PloS one 20190710 7
Predicting the socio-economic level of an urban region is of great significance for governments and city managers when allocating resources and making decisions. However, the current approaches for estimating regional socio-economic levels heavily rely on census data, which demands significant effort in terms of time and money. With the ubiquitous usage of smart phones and the prevalence of mobile applications, massive amounts of data are generated by mobile networks that record people's behavio ...[more]
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