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    Modelling humanmobility patterns using photographic data shared online

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    0423_Modellinghumanmobilitypatterns.pdf (882.7Kb)
    Date
    2015
    Author
    Barchiesi, Daniele
    Preis, Tobias
    Bishop, Steven
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    Abstract
    Humans are inherently mobile creatures. The way we move around our environment has consequences for a wide range of problems, including the design of efficient transportation systems and the planning of urban areas. Here, we gather data about the position in space and time of about 16 000 individuals who uploaded geo-tagged images from locations within the UK to theFlickrphoto-sharing website.
    URI
    https://lib.hpu.edu.vn/handle/123456789/23705
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    • Education [806]

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