Cloud-based capture and sharing of urban dynamics using scarce check-in data

Andreas Komninos, Vassilios Stefanis, Athanasios Plessas, Jeries Besharat

    Research output: Contribution to journalArticlepeer-review

    21 Citations (Scopus)


    We describe our analysis of three months worth of collected human-physical environment interactions (foursquare check-in) data for a medium-sized city in Greece. Our analysis shows that though the data generated by the citizens is scarce (i.e. on average less than 10 users checked in at any time during the day), nevertheless they can be used to build a good model of the city's dynamics. The paper discusses how this information can be used to guide visitors in the city or to provide innovative services for the city's inhabitants using the cloud.
    Original languageEnglish
    JournalIEEE Pervasive Computing
    Issue number4
    Early online date23 May 2013
    Publication statusPublished - 2013


    • cloud computing
    • pervasive computing
    • check-in data
    • urban dynamics


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