Skip to main content
SpringerLink
Log in

Deriving Mobility Practices and Patterns from Mobile Phone Data

  • Conference paper
Computational Science and Its Applications – ICCSA 2013 (ICCSA 2013)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7973))

Included in the following conference series:

Abstract

The paper addresses the issue of analyzing and mapping mobility practices by using different kinds of mobile phone network data, which provide geo-located information on mobile phone activity at a high spatial and temporal resolution. We will present and discuss major findings and drawbacks, based on an application carried out on the Milan urban region (Lombardy, Northern Italy).

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Ehrenberg, A.: L’individu incertain, Paris, Calmann-Lévy (1995)

    Google Scholar 

  2. Urry, J.: Sociology Beyond Societies. Routledge, London (2000)

    Google Scholar 

  3. Kaufmann, V.: Re-thinking mobility. Ashgate, Aldershot (2000)

    Google Scholar 

  4. Ascher, F.: Les sens du mouvement: modernités et mobilités. In: Allemand, S., Ascher, F., Lévy, J. (eds.) Le Sens du Mouvement, Belin Bourdin, pp. 21–34 (2004)

    Google Scholar 

  5. Bourdin, A.: Les mobilités et le programme de la sociologie. Cahiers Internationaux de Sociologie 1(118), 5–21 (2005)

    Article  Google Scholar 

  6. Scheller, M., Urry, J.: The new mobilities paradigm. Environment and Planning A 38, 207–226 (2006)

    Article  Google Scholar 

  7. Nuvolati, G.: Resident and Non-resident Populations: Quality of Life, Mobility and Time Policies. The Journal of Regional Analysis and Policy 33(2), 67–83 (2003)

    Google Scholar 

  8. Ahas, R., Mark, Ü.: Location based services–new challenges for planning and public administration? Futures 37(6), 547–561 (2005)

    Article  Google Scholar 

  9. Ratti, C., Pulselli, R.M., Williams, S., Frenchman, D.: Mobile landscapes: using location data from cell phones for urban analysis. Environment and Planning B: Planning and Design 33(5), 727–748 (2006)

    Article  Google Scholar 

  10. Gonzalez, M.C., Hidalgo, C.A., Barabási, A.-L.: Understanding individual human mobility patterns. Nature 453(7196), 779–782 (2008)

    Article  Google Scholar 

  11. Reades, J., Calabrese, F., Sevtsuk, A., Ratti, C.: Cellular census: Explorations in urban data collection. IEEE Pervasive Computing 6(3), 30–38 (2007)

    Article  Google Scholar 

  12. Becker, R.A., Caceres, R., Hanson, K., Loh, J.M., Urbanek, S., Varshavsky, A., Volinsky, C.: A Tale of One City: Using Cellular Network Data for Urban Planning. IEEE - Pervasive Computing 10, 18–26 (2011)

    Article  Google Scholar 

  13. Soto, Frias-Martinez: Automated land use identification using cell-phone records. In: Proceedings of the 3rd ACM International Workshop on MobiArch, pp. 17–22. ACM (2011)

    Google Scholar 

  14. Soto, Frias-Martinez: Robust land use characterization of urban landscapes using cell phone data. In: The First Workshop on Pervasive Urban Applications (PURBA) (2011b)

    Google Scholar 

  15. Balducci, A., Fedeli, V., Pasqui, G.: Strategic planning for contemporary urban regions: city of cities: a project for Milan. Ashgate, Burlington (2010)

    Google Scholar 

  16. Manfredini, F., Pucci, P., Secchi, P., Tagliolato, P., Vantini, S., Vitelli, V.: Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region. MOX Report 25/2012 (2012)

    Google Scholar 

  17. Estebe, P.: Gouverner la ville mobile. PUF, Paris (2008)

    Google Scholar 

  18. Jain, A., Dubes, R.: Algorithms for Clustering Data. Prentice-Hall, Upper Saddle River (1988)

    MATH  Google Scholar 

  19. Vantini, S., Vitelli, V., Zanini, P.: Treelet Analysis and Independent Component Analysis of Milan Mobile-Network Data: Investigating Population Mobility and Behavior. In: Analysis and Modeling of Complex Data in Behavioural and Social Sciences - Joint Meeting of of the Italian and the Japanese Statistical Societies (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Dipartimento di Architettura e Studi Urbani, Politecnico di Milano, via Bonardi 3, 20133, Milano, Italy

    Fabio Manfredini, Paola Pucci & Paolo Tagliolato

Authors
  1. Fabio Manfredini
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Paola Pucci
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Paolo Tagliolato
    View author publications

    You can also search for this author in PubMed Google Scholar

Editor information

Editors and Affiliations

  1. L-I.S.U.T. - D.A.P.I.t. Facoltà Ingegneria, Università degli Studi della Basilicata, Viale dell’Ateneo Lucano, 10, 85100, Potenza, Italy

    Beniamino Murgante

  2. Covenant University, Canaanland, Ota, Nigeria

    Sanjay Misra

  3. Partimento di Scienze e Tecnologie per LAgricoltura, le Foreste, la Natura e lEnergia, Università degli Studi della Tuscia, Via S. Camillo de Lellis, snc, 01100, Viterbo, Italy

    Maurizio Carlini

  4. Dipartimento di Scienze dell’Ingegneria Civile e dell’Architecttura, Politecnico di Bari, Via Orabona, 4, 70125, Bari, Italy

    Carmelo M. Torre

  5. International University VNU-HCM, Quarter 6, Linh Trung, Thu Duc, Ho Chi Minh City, Vietnam

    Hong-Quang Nguyen

  6. School of Business Systems, Monash University, 3800, Clayton, VIC, Australia

    David Taniar

  7. Department of Intelligent Informatics, Kyushu Sangyo University, 2-3-1 Matsukadai, Higashi-ku, 813-8503, Fukuoka, Japan

    Bernady O. Apduhan

  8. Department of Mathematics and Computer Science, University of Perugia, Via Vanvitelli, 1, 06123, Perugia, Italy

    Osvaldo Gervasi

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Manfredini, F., Pucci, P., Tagliolato, P. (2013). Deriving Mobility Practices and Patterns from Mobile Phone Data. In: Murgante, B., et al. Computational Science and Its Applications – ICCSA 2013. ICCSA 2013. Lecture Notes in Computer Science, vol 7973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39646-5_32

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-39646-5_32

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39645-8

  • Online ISBN: 978-3-642-39646-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation