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Mapping Population and Mobile Pervasive Datasets into Individual Behaviours for Urban Ecosystems

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Artificial Intelligence and Soft Computing (ICAISC 2016)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9692))

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Abstract

Mobile phone network data routinely collected by providers possess very valuable and encoded information about human behaviours. In order to obtain the information it is necessary to carry out an arduous extraction process. Nevertheless, this information would be of fundamental importance for a successfully building and operating smart urban ecosystem understood as a self-organized and open system gathering and using knowledge about smart city environment. Intensive tourist activities in urban spaces bring smartness via mobile phone fingerprints into urban ecosystems and municipal services. This paper provides a unified approach comprising both informal (use cases) and formal (algorithms) elements to obtain a common framework which after ignoring redundant information maps pervasive datasets into a collection of individual patterns and anonymized tourist behaviours in urban spaces. They strongly influence municipal services to understand urban context and operate more effectively to support tourist activities to become more safe and comfortable.

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Notes

  1. 1.

    See http://en.wikipedia.org/wiki/Grande_Lisboa.

  2. 2.

    See: http://en.wikipedia.org/wiki/OpenStreetMap.

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Author information

Authors and Affiliations

  1. AGH University of Science and Technology, Al. Mickiewicza 30, 30-059, Kraków, Poland

    Radosław Klimek

Authors
  1. Radosław Klimek
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Correspondence to Radosław Klimek .

Editor information

Editors and Affiliations

  1. Częstochowa University of Technology, Czestochowa, Poland

    Leszek Rutkowski

  2. Częstochowa University of Technology, Czestochowa, Poland

    Marcin Korytkowski

  3. Częstochowa University of Technology, Czestochowa, Poland

    Rafał Scherer

  4. AGH University of Science and Technology, Krakow, Poland

    Ryszard Tadeusiewicz

  5. University of California, Berkeley, California, USA

    Lotfi A. Zadeh

  6. University of Louisville, Louisville, Kentucky, USA

    Jacek M. Zurada

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© 2016 Springer International Publishing Switzerland

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Klimek, R. (2016). Mapping Population and Mobile Pervasive Datasets into Individual Behaviours for Urban Ecosystems. In: Rutkowski, L., Korytkowski, M., Scherer, R., Tadeusiewicz, R., Zadeh, L., Zurada, J. (eds) Artificial Intelligence and Soft Computing. ICAISC 2016. Lecture Notes in Computer Science(), vol 9692. Springer, Cham. https://doi.org/10.1007/978-3-319-39378-0_58

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  • DOI: https://doi.org/10.1007/978-3-319-39378-0_58

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39377-3

  • Online ISBN: 978-3-319-39378-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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