Mobile Phone Data and Mobility Policy

  • Paola Pucci Politecnico di Milano, Department of Architecture and Urban Studies
Keywords: Telephone Traffic Data, Mobility, Mobile Communities


The paper focusses on the potentialities offered by mobile phone data to provide useful knowledge of site practices and rhythms of usage of contemporary city, for more effective and equitable mobility policies.Starting from the results of a research carried out at the Politecnico di Milano, using mobile phone data provided by Telecom Italia and finalized to verify the meaning of mobile phone data in returning the density of land use (Manfredini, Pucci & Tagliolato, 2012 and 2013) and the origins and destinations of daily movements (Tagliolato, Manfredini & Pucci, 2013), we will highlight how new maps, based on the processing of mobile phone data can represent spatialized urban practices and how they can give new insights for analyze space-time patterns of mobility practices. In our research, mobile phone data, returning new maps of site practices in Lombardy Region with information on temporary populations and city usages patterns (daily/nightly practices, non-systematic mobility), allowed to trace “fuzzy boundaries” as perimeters of practices, proposed like a tool for supporting and increasing the efficiency of urban policies and mobility services.In the paper, the identification of temporary urban populations through two types of mobile phone data  (density of the calls and origin - destination traces of the calls) has not only a knowing purpose, but it is the condition for recognize new claims referred to “communities of practice”, by which to build mobility policies incisive, also because not generalist.


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Author Biography

Paola Pucci, Politecnico di Milano, Department of Architecture and Urban Studies
Associate Professor in Urban Planning at Politecnico di Milano, Department of Architecture and Urban Studies


Ahas, R., Aasa, A., Silm, S. & Tiru, M. (2010). Daily rhythms of suburban commuters’ movements in the Tallin metropolitan area: case study with mobile positioning data. Transportation Research Part C: Emerging Technologies. 18 (1), 45–54.

Ahas, R. & Mark, U. (2005). Location based services - new challenges for planning and public administrations? Futures, 37, 547-561.

Allmendinger, P. & Haughton, G. (2010). Spatial planning, devolution and new planning spaces. Environment and Planning C, 28 (5), 803-818

Amin, A., Thrift, N. (2002). Cities: Reimagining the Urban, Cambridge: Polity Press, 184 p.

Bericat, E. (1994). Sociologia de la movilidad especial. El sedentrismo nomada. Monografia. Centro de Investigaciones Sociologicas, Erdozain Gaztelu, Aurelio, ISBN 9788474762075.

Brenner, N. (2009). Open questions on state rescaling. Journal of Regions, Economy and Society, 2, 123-139.

Caceres, N., Wideberg, J. & Benitez, F. (2007). Deriving origin destination data from a mobile phone network. Intelligent Transport Systems, IET 1(1), 15–26.

Dematteis, G. (1986). L’ambiente come contingenza e il mondo come rete. Urbanistica, 85, 112-117

Dematteis, G. (2012). Le città del presente, le città del futuro: le politiche. EyesReg, 2 (2), marzo.

Edensor, T. (2011). Commuter: mobility, rhythm and commuting. in: Cresswell, T. & Merriman, P. (ed.) Geographies of Mobilities: Practices, Spaces, Subjects, Farnham: Ashgate, 189-204.

Estèbe, P. (2008). Gouverner la ville mobile. La ville en débat, Puf, Paris.

Ferraris, M. (2009). Documentalità. Perché è necessario lasciar tracce. Laterza, Bari.

Fontaine, M. & Smith, B., (2005). Part 1: Freeway operations: Probe-based traffic monitoring systems with wireless location technology: An investigation of the relationship between system design and effectiveness. Transportation Research Record: Journal of the Transportation Research Board 1925(1), 2–11.

Godard, F. (1997). A propos des nouvelles temporalités urbaines. Les Annales de la Recherche Urbaine, 77, 7-14.

Gonzalez, M., Hidalgo, C. & Laszlo Barabasi, A. (2008). Understanding individual human mobility patterns. Nature, 453, 779-782, June.

Haughton, G. et alii, (2010). The new spatial planning : territorial management with soft space and fuzzy boundaries, Routledge, London.

Haughton, G. & Allmendinger, P. (2008). The soft space of local economic development. Local Economy, 23 (2), 138-148

Healey, P. (1998). Building institutional capacity through collaborative approaches to urban planning. Environmental and Planning A, 30 (9), 1531-1546.

Heley J., (2012). Soft Spaces, Fuzzy Boundaries and Spatial Governace in Post-devolution Wales. International Journal of Urban and Regional Research, 18 june, 1-24

Jones et alii (2005). Filling in the state: economic governance and the evolution of devolution in Wales”. In Environment and Planning C, 23 (3), 337-360.

Kwan M., Dijst M. & Schwanen T. (2007). The interaction between ICT and human activity-travel behavior. Transportation Research Part A: Policy and Practice, 41 (2), 121–124. URL:

Le Breton E. (2006). Homo mobilis, in Bonnet M., Aubertel P. (eds), La ville aux limites de la mobilité, Puf, Paris, 23-32.

Le Breton E., (2005). Bouger pour s’en sortir. Mobilité quotidienne et intégration sociale, Arman Colin Paris.

Manfredini, F., Pucci, P., Tagliolato, P. (2010). Monitoring large events through mobile phone network data, Proceedings of the International Conference "Big events and transport : the transportation requirements for the management of large scale events" – Venice, October 28th -29th, 61-70. ISBN 9788887697513.

Manfredini F., Pucci P. & Tagliolato P. (2012). Mobile phone network data. new sources for urban studies?. in Borruso G., Bertazzon S., Favretto A., Murgante B. & Torre C.M. (eds.) Geographic Information Analysis for Sustainable Development and Economic Planning: New Technologies. Hershey PA, USA: IGI Global. 115-128.

Manfredini, F.; Pucci, P.; Secchi, P.; Tagliolato, P.; Vantini, S. & Vitelli, V., (2012). “Treelet decomposition of mobile phone data for deriving city usage and mobility pattern in the Milan urban region”, in

Martinotti, G. (1993). Metropoli. La nuova morfologia sociale della città, Il Mulino, Bologna.

Montulet, B., Huynen, P. & Hubert, M. (2008), Belgium a society of commuters, I Schneider, N.F. & Meil, G. (eds) Mobile living across Europe I. Relevant and diversity of job related spatial mobility in six European Countries, Leverkusen: Barbara Budrich Publishers, 269-304

Mubi Brighenti, A. (2012). New Media and Urban Motilities: A Territoriologic Point of View. Urban Studies. 49 (2), 399-414, doi:10.1177/0042098.011400771

Paasi A. (2010). Boundaries as social practice and discourse. Regional Studies, 33 (7), 669-680.

Pasqui, G. (2001). Confini milanesi. Processi territoriali e pratiche di governo, Angeli, Milano.

Pasqui, G. (2008). Città. Popolazioni. Politiche, Jaca Book, Milano, 176 p.

Pola, G. & Ferri, V. (2012), Da provincia “declassata” a città metropolitana, Una opportunità per Milano, Università Milano Bicocca, Criet, Milano. Available in

Pucci, P., (2006). Mobilità e territorio. Nuove pratiche nella regione urbana milanese. AreaVasta.12/13, 138-146

Pucci, P. (2007). La mobilità nei territori della città contemporanea. Ripensare le pratiche analitiche e le politiche, in Lanzani, A. & Moroni, S. (a cura di), Città e azione pubblica. Riformismo al plurale, Carocci, Roma, pp. 233-241

Pucci, P. (2010). Territoires et populations en mouvement. Pratiques de mobilité dans la région urbaine de Milan. Flux, 79-80, janvier-juin, 101-111.

Pucci, P., Manfredini, F. & Tagliolato, P. (2013). Mobile phone data for mapping urban dynamics, available in; ISSN: 2281-6283.

Pucci, P. (2013). Fuzzy boundaries per comunità mobili. Disegnare territori contingenti nella Regione Urbana Milanese. Planum, in

Qiu, Z. & Cheng, P. (2007). State of the art and practice: cellular probe technology applied in advanced traveler information system. 86th Annual Meeting of the Transportation Research Board, Washington, DC. N. 0223.

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

Reades, J., Calabrese, F., Sevtsuk ,A. & Ratti, C. (2007). Cellular census: explorations in urban data collection. IEEE Pervasive Computing, 6, 30-38, URL:

Sevtsuk, A. & Ratti, C. (2010). Does urban mobility have a daily routine? Learning from the aggregate data of mobile networks. Journal of Urban Technology, 17, 41-60, April.

Song, C., Qu, Z., Blumm N. & Barabasi AL. (2010). Limits of predictability in human mobility. Science, 327, 1018.

Tagliolato, P., Manfredini, F. & Pucci, P. (2013). Aggregated OD tracks of mobile phone data for the recognition of daily mobility spaces: an application to Lombardia region In: Third International Conference on the Analysis of Mobile Phone Datasets. Cambridge (MA). Proceedings of NetMob 2013, Special session on the D4D challenge. Cambridge, MA: MIT, 2013. May 1-3, 42-44.

Vincent Geslin, S. & Kaufmann, V., (2011) (eds). Mobilité sans racines. Plus loin, plus vite… plus mobile? Paris: Descartses & Cie, 142 p.

Vincent Geslin S. & Ortar, N. (2012), De la mobilité aux racines, in Mobilité sans racine. Plus loin, plus vite… plus mobiles? Cultures mobiles Paris: Descartses & Cie, 51-64.

Wenger, E. (1998). Communities of Practice. Learning, Meaning and Identity. Cambridge (MA): Cambridge University Press, tr. it 2006, 309 p.

How to Cite
Pucci, P. (2013). Mobile Phone Data and Mobility Policy. TeMA - Journal of Land Use, Mobility and Environment, 6(3), 326-340.