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作者

Xiao Huang;Yuhui Zhao;Siqin Wang;Xiao Li;Di Yang;Yu Feng;Yang Xu;Liao Zhu;Biyu Chen

来源

CITIES,Vol.129,Issue1,Article 103929

语言

英文

关键字

Homophily;Community entropy;Segregation;Mobile phone data;Human mobility

作者单位

Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia;Texas A&M Transportation Institute, Bryan, TX 77807, USA;Wyoming Geographic Information Science Center, University of Wyoming, Laramie, WY 82071, USA;Institute of Cartography and Geoinformatics, Leibniz University Hannover, Hannover 30167, Germany;Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China;Department of Statistics and Data Science, Cornell University, Ithaca, New York 14853, USA;Department of Geosciences, University of Arkansas, Fayetteville, AR 72701, USA;State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China;School of Earth and Environmental Sciences, The University of Queensland, Brisbane, QLD 4067, Australia;Texas A&M Transportation Institute, Bryan, TX 77807, USA;Wyoming Geographic Information Science Center, University of Wyoming, Laramie, WY 82071, USA;Institute of Cartography and Geoinformatics, Leibniz University Hannover, Hannover 30167, Germany;Department of Land Surveying and Geo-Informatics, The Hong Kong Polytechnic University, Hung Hom, Hong Kong, China;Department of Statistics and Data Science, Cornell University, Ithaca, New York 14853, USA

摘要

As described in the proverb “birds of a feather flock together”, the term homophily narrates the principle that stronger spatial interactions tend to be formed among locations with similar characteristics. Taking advantage of mobility networks derived from around 45 million mobile devices in the U.S. and targeting the top twenty most-populated U.S. Metropolitan Statistical Areas (MSAs), we extract human mobility structures by detecting communities formed by strong spatial links and unravel the homophily effect at the community level using information entropy that measures the chaoticness of societal settings within communities. The results suggest that the power-law still, to a large extent, governs the travel patterns in MSAs. However, communities featured by strong human interactions can sometimes transcend geographic proximity in modern metropolitans. The entropy varies across communities, and a community can exhibit variation of homophily levels when different sociodemographic settings are investigated. Our study proves the ubiquity of the homophily phenomenon in modern metropolitans and documents its variation from different social perspectives from a mobility-oriented setting. The conceptual and analytical knowledge, as well as the results of this study, are expected to facilitate better policymaking to promote social integration in metropolitan areas.