Digging for Non-Dominant Mobility Patterns

نویسندگان

  • Günther Sagl
  • Martin Loidl
چکیده

In this paper we investigate non-dominant collective urban mobility patterns in user-generated mobile network traffic data using a visual analytics tool. Based on our previous approach and results, we herein focus on the next level of mobility detail: we visually dig deeper and disclose some nondominant, potentially hidden mobility patterns in four urban test areas in Northern Italy. The results reveal interesting insights into the cities’ functional structure in terms of human mobility, for instance mobility hotspots and mobility gateways. Keywords—Visual Analytics, Collective Urban Mobility, Mobile Network Traffic, Geographic Information Science

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تاریخ انتشار 2012