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Data-driven behavioral analysis and applications: A case study in Changchun, China
16 references·0 citing·53 second hop
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References

  • 2020The scales of human mobility361 cited
  • 2017On data processing required to derive mobility patterns from passively-generated mobile phone data248 cited
  • 2004Correlates of teacher appraisals of student behaviors192 cited
  • 2018Driving Behavior Analysis through CAN Bus Data in an Uncontrolled Environment186 cited
  • 2019Inferring dynamic origin-destination flows by transport mode using mobile phone data183 cited
  • 2000Investigating the practices of student researchers: patterns of use and criteria for use of internet and library sources140 cited
  • 2018Portraying Urban Functional Zones by Coupling Remote Sensing Imagery and Human Sensing Data133 cited
  • 2009The Library Is for Studying126 cited
  • 2019Measuring mobility, disease connectivity and individual risk: a review of using mobile phone data and mHealth for travel medicine93 cited
  • 2018Identifying Urban Functional Zones Using Public Bicycle Rental Records and Point-of-Interest Data82 cited
  • 2020A data-driven approach for origin–destination matrix construction from cellular network signalling data: a case study of Lyon region (France)68 cited
  • 2017The potential effect of technology and distractions on undergraduate students’ concentration64 cited
  • 2020Comparison of the spatiotemporal mobility patterns among typical subgroups of the actual population with mobile phone data: A case study of Beijing58 cited

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  • 2018Understanding the Spatial Structure of Urban Commuting Using Mobile Phone Location Data: A Case Study of Shenzhen, China54 cited
  • 2019Identification of Urban Functional Regions Based on Floating Car Track Data and POI Data42 cited
  • 2021Assessing temporal–spatial characteristics of urban travel behaviors from multiday smart-card data41 cited
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