2013
DOI: 10.1080/17445647.2012.762331
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Application of mobile phone location data in mapping of commuting patterns and functional regionalization: a pilot study of Estonia

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Cited by 54 publications
(36 citation statements)
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“…Both Novak, Ahas, Aasa, and Silm (2013) and Kronenfeld, Sun, and Wong (2013) introduce new spatial methods to understand social processes associated with commuting patterns and inequality, respectively. The former focuses on the use of mobile phone location data from residents in Estonia to map functional areas in an already growing attempt of researchers to use our everyday devices to gather interesting and pertinent data.…”
Section: Please Scroll Down For Articlementioning
confidence: 99%
“…Both Novak, Ahas, Aasa, and Silm (2013) and Kronenfeld, Sun, and Wong (2013) introduce new spatial methods to understand social processes associated with commuting patterns and inequality, respectively. The former focuses on the use of mobile phone location data from residents in Estonia to map functional areas in an already growing attempt of researchers to use our everyday devices to gather interesting and pertinent data.…”
Section: Please Scroll Down For Articlementioning
confidence: 99%
“…A few examples of the use of mobile data for understanding activity chains and trajectories are presented in [3,4] while Bluetooth and Floating Car Data are used for the same purpose in [5,6], respectively.…”
Section: Probe Datamentioning
confidence: 99%
“…survey, traffic count, interview etc.). This study exploits data obtained by detecting phone traffic calls in an urban area [8,9]. Two different types of databases have been used: the first collects the traffic exchanged between different antennas, while in the second a sub set of users is tracked in order to observe the different locations within the day.…”
Section: Introductionmentioning
confidence: 99%