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Usage detail records not only include plentiful spatial\u2013temporal information, but also describe users\u2019 activities in content space and time. They have three dimensions of information, which makes them favorable for the research of human behavior dynamics. To support smart cities, we collected usage detail records containing three dimensions of information from individuals and analyzed the relationship between them to get modes of users\u2019 behavior. In this article, we propose a method to discover the needed content for users and a way to provide these data to them. The result shows that two of these three dimensions have an invisible association. New behavioral patterns that we discovered from usage detail records can be derived for configuring resources reasonably and supporting creation of smart cities. <\/jats:p>","DOI":"10.1177\/1550147718770087","type":"journal-article","created":{"date-parts":[[2018,4,13]],"date-time":"2018-04-13T10:53:39Z","timestamp":1523616819000},"page":"155014771877008","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":1,"title":["Analysis of behavioral differentiation in smart cities based on mobile users\u2019 usage detail record data"],"prefix":"10.1177","volume":"14","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6372-5223","authenticated-orcid":false,"given":"Xianlong","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Electronic Information, Wuhan University, Wuhan, China"},{"name":"Beijing Smart Chip Microelectronics Company Limited, Beijing, 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