Please use this identifier to cite or link to this item:
|Title:||Understanding individual mobility patterns from urban sensing data: A mobile phone trace example||Authors:||Calabrese, F.
Di Lorenzo, G.
|Keywords:||Mobile phone traces
Vehicle Kilometers Traveled (VKT)
|Issue Date:||Jan-2013||Citation:||Calabrese, F., Diao, M., Di Lorenzo, G., Ferreira, J., Ratti, C. (2013-01). Understanding individual mobility patterns from urban sensing data: A mobile phone trace example. Transportation Research Part C: Emerging Technologies 26 : 301-313. ScholarBank@NUS Repository. https://doi.org/10.1016/j.trc.2012.09.009||Abstract:||Large-scale urban sensing data such as mobile phone traces are emerging as an important data source for urban modeling. This study represents a first step towards building a methodology whereby mobile phone data can be more usefully applied to transportation research. In this paper, we present techniques to extract useful mobility information from the mobile phone traces of millions of users to investigate individual mobility patterns within a metropolitan area. The mobile-phone-based mobility measures are compared to mobility measures computed using odometer readings from the annual safety inspections of all private vehicles in the region to check the validity of mobile phone data in characterizing individual mobility and to identify the differences between individual mobility and vehicular mobility. The empirical results can help us understand the intra-urban variation of mobility and the non-vehicular component of overall mobility. More importantly, this study suggests that mobile phone trace data represent a reasonable proxy for individual mobility and show enormous potential as an alternative and more frequently updatable data source and a compliment to the conventional travel surveys in mobility study. © 2012 Elsevier Ltd.||Source Title:||Transportation Research Part C: Emerging Technologies||URI:||http://scholarbank.nus.edu.sg/handle/10635/114039||ISSN:||0968090X||DOI:||10.1016/j.trc.2012.09.009|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Jan 14, 2022
WEB OF SCIENCETM
checked on Jan 14, 2022
checked on Jan 13, 2022
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.