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      Correlating mobile phone usage and travel behavior – A case study of Harbin, China

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      Computers, Environment and Urban Systems
      Elsevier BV

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          Understanding individual human mobility patterns

          Despite their importance for urban planning, traffic forecasting, and the spread of biological and mobile viruses, our understanding of the basic laws governing human motion remains limited thanks to the lack of tools to monitor the time resolved location of individuals. Here we study the trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six month period. We find that in contrast with the random trajectories predicted by the prevailing Levy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity, each individual being characterized by a time independent characteristic length scale and a significant probability to return to a few highly frequented locations. After correcting for differences in travel distances and the inherent anisotropy of each trajectory, the individual travel patterns collapse into a single spatial probability distribution, indicating that despite the diversity of their travel history, humans follow simple reproducible patterns. This inherent similarity in travel patterns could impact all phenomena driven by human mobility, from epidemic prevention to emergency response, urban planning and agent based modeling.
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            The Intra-Urban Migration Process: A Perspective

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              Impact of telecommuting on spatial and temporal patterns of household travel

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                Author and article information

                Journal
                Computers, Environment and Urban Systems
                Computers, Environment and Urban Systems
                Elsevier BV
                01989715
                March 2012
                March 2012
                : 36
                : 2
                : 118-130
                Article
                10.1016/j.compenvurbsys.2011.07.003
                fdcbceb2-1c9c-4456-a285-33071862832f
                © 2012

                http://www.elsevier.com/tdm/userlicense/1.0/

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