Article: Consensus clustering for urban land use analysis using cell phone network data Journal: International Journal of Ad Hoc and Ubiquitous Computing (IJAHUC) 2014 Vol.17 No.1 pp.39 - 58 Abstract: Pervasive large-scale infrastructures have the ability to capture individual digital footprints and, as a result, provide a new vision on human dynamics. In this context, cell phones and cell phone networks, due to its ubiquity, can be considered one of the main sensors of human behaviour. The information collected by these networks can be used to understand the dynamics of urban environments with a detail not available up to now. One of the areas that can benefit from this information is urban planning. In this paper, we present a technique for the automatic identification of land uses from the information gathered by a cell phone network. Given the inherent diversity of human activities, we use consensus clustering to identify land uses, characterising only those geographical areas with well-defined behaviours. We present and validate our results using cell phone records and official land use data collected for Madrid. Inderscience Publishers - linking academia, business and industry through research

Title: Consensus clustering for urban land use analysis using cell phone network data

Authors: V. Frias-Martinez; V. Soto; A. Sánchez; E. Frias-Martinez

Addresses: Telefonica Research, C/ Ronda de la Comunicación s/n, Oeste 1, 28050, Madrid, Spain ' Department of Computer Science, Columbia University, 1214 Amsterdam Avenue, New York, NY 10027-7003, USA ' Department of Computing, Universidad Rey Juan Carlos, Campus de Móstoles, 28933, Madrid, Spain ' Telefonica Research, C/ Ronda de la Comunicación s/n, Oeste 1, 28050, Madrid, Spain

Abstract: Pervasive large-scale infrastructures have the ability to capture individual digital footprints and, as a result, provide a new vision on human dynamics. In this context, cell phones and cell phone networks, due to its ubiquity, can be considered one of the main sensors of human behaviour. The information collected by these networks can be used to understand the dynamics of urban environments with a detail not available up to now. One of the areas that can benefit from this information is urban planning. In this paper, we present a technique for the automatic identification of land uses from the information gathered by a cell phone network. Given the inherent diversity of human activities, we use consensus clustering to identify land uses, characterising only those geographical areas with well-defined behaviours. We present and validate our results using cell phone records and official land use data collected for Madrid.

Keywords: consensus clustering; urban land use; cell phone data; CDR; call detail records; spectral clustering; mobile phone records; mobile phones; cell phones; phone networks; digital footprint; human dynamics; urban planning; Madrid; Spain; automatic identification.

DOI: 10.1504/IJAHUC.2014.065157

International Journal of Ad Hoc and Ubiquitous Computing, 2014 Vol.17 No.1, pp.39 - 58

Received: 05 Sep 2012
Accepted: 04 Jul 2013
Published online: 15 Oct 2014 *

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Title: Consensus clustering for urban land use analysis using cell phone network data

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