Understanding individual human mobility patterns
- Marta C. González, César A. Hidalgo, A. Barabasi
- Computer ScienceNature
- 10 March 2008
The trajectory of 100,000 anonymized mobile phone users whose position is tracked for a six-month period is studied, finding that, in contrast with the random trajectories predicted by the prevailing Lévy flight and random walk models, human trajectories show a high degree of temporal and spatial regularity.
A universal model for mobility and migration patterns
- F. Simini, Marta C. González, A. Maritan, A. Barabasi
- EconomicsNature
- 2 November 2011
A stochastic process capturing local mobility decisions that helps to derive commuting and mobility fluxes that require as input only information on the population distribution is introduced, significantly improving the predictive accuracy of most of the phenomena affected by mobility and transport processes.
Origin-destination trips by purpose and time of day inferred from mobile phone data
- Lauren P. Alexander, Shan Jiang, M. Murga, Marta C. González
- Computer Science
- 1 September 2015
Unravelling daily human mobility motifs
- C. Schneider, V. Belik, T. Couronné, Z. Smoreda, Marta C. González
- Environmental ScienceJournal of the Royal Society Interface
- 6 July 2013
Daily human mobility can be reproduced by an analytically tractable framework for Markov chains by modelling periods of high-frequency trips followed by periods of lower activity as the key ingredient.
Uncovering individual and collective human dynamics from mobile phone records
- J. Candia, Marta C. González, Pu Wang, Timothy W. Schoenharl, Greg Madey, A. Barabasi
- Environmental Science
- 16 October 2007
The mean collective behavior at large scales is studied and it is shown that the interevent time of consecutive calls is heavy-tailed, which has implications for dynamics of spreading phenomena in social networks.
Safe Driving Using Mobile Phones
- M. Fazeen, Brandon Gozick, R. Dantu, Moiz Bhukhiya, Marta C. González
- Computer ScienceIEEE transactions on intelligent transportation…
- 1 September 2012
This paper uses the three-axis accelerometer of an Android-based smartphone to record and analyze various driver behaviors and external road conditions that could potentially be hazardous to the health of the driver, the neighboring public, and the automobile.
Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore
- Shan Jiang, J. Ferreira, Marta C. González
- Computer ScienceIEEE Transactions on Big Data
- 1 June 2017
This research provides an innovative data mining framework that synthesizes the state-of-the-art techniques in extracting mobility patterns from raw mobile phone CDR data, and design a pipeline that can translate the massive and passive mobile phone records to meaningful spatial human mobility patterns readily interpretable for urban and transportation planning purposes.
Inferring land use from mobile phone activity
- Jameson L. Toole, M. Ulm, D. Bauer, Marta C. González
- Computer ScienceUrbComp '12
- 3 July 2012
Novel dynamic data, generated by mobile phone users, is used to measure spatiotemporal changes in population over the course of a typical week and it is shown that the mobile phone data is capable of delivering useful information on actual land use that supplements zoning regulations.
The path most traveled: Travel demand estimation using big data resources
- Jameson L. Toole, Serdar Çolak, Bradley Sturt, Lauren P. Alexander, Alexandre Evsukoff, Marta C. González
- Computer ScienceTransportation Research Part C: Emerging…
- 1 September 2015
Clustering daily patterns of human activities in the city
- Shan Jiang, J. Ferreira, Marta C. González
- EconomicsData mining and knowledge discovery
- 20 April 2012
This work analyzes an activity-based travel survey conducted in the Chicago metropolitan area over a demographic representative sample of its population and finds that the population can be clustered into 8 and 7 representative groups according to their activities during weekdays and weekends, respectively.
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