Document - Discovering urban and country dynamics from mobile phone data with spatial correlation patterns

2014

Journal article Open Access

Discovering urban and country dynamics from mobile phone data with spatial correlation patterns

Trasarti R., Olteanu-Raimond A., Nanni M., Couronné T., Furletti B., Giannotti F., Smoreda Z., Ziemlicki C.

Mobile phone Mobility patterns Management Information Systems Library and Information Sciences Information Systems Urban dynamics Management Policy and Law Location data [INFO.INFO-AI]Computer Science [cs]/Artificial Intelligence [cs.AI] [SHS]Humanities and Social Sciences Economics and Econometrics Monitoring H.2.8 Database Applications. Data Mining Communication

Mobile communication technologies pervade our society and existing wireless networks are able to sense the movement of people, generating large volumes of data related to human activities, such as mobile phone call records. At the present, this kind of data is collected and stored by telecom operators infrastructures mainly for billing reasons, yet it represents a major source of information in the study of human mobility. In this paper, we propose an analytical process aimed at extracting interconnections between different areas of the city that emerge from highly correlated temporal variations of population local densities. To accomplish this objective, we propose a process based on two analytical tools: (i) a method to estimate the presence of people in different geographical areas; and (ii) a method to extract time- and space-constrained sequential patterns capable to capture correlations among geographical areas in terms of significant co-variations of the estimated presence. The methods are presented and combined in order to deal with two real scenarios of different spatial scale: the Paris Region and the whole France

Source: Telecommunications policy (2014). doi:10.1016/j.telpol.2013.12.002

Publisher: IPC Science & Technology Press., Guildford, Surrey, Regno Unito

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@article{oai:it.cnr:prodotti:279370,
	title = {Discovering urban and country dynamics from mobile phone data with spatial correlation patterns},
	author = {Trasarti R. and Olteanu-Raimond A. and Nanni M. and Couronné T. and Furletti B. and Giannotti F. and Smoreda Z. and Ziemlicki C.},
	publisher = {IPC Science \& Technology Press., Guildford, Surrey, Regno Unito},
	doi = {10.1016/j.telpol.2013.12.002},
	journal = {Telecommunications policy},
	year = {2014}
}