Discovering urban activity patterns in cell phone data
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References listed on IDEAS
- Soora Rasouli & Harry Timmermans, 2014. "Activity-based models of travel demand: promises, progress and prospects," International Journal of Urban Sciences, Taylor & Francis Journals, vol. 18(1), pages 31-60, March.
- Carlo Ratti & Riccardo Maria Pulselli & Sarah Williams & Dennis Frenchman, 2006. "Mobile Landscapes: using location data from cell phones for urban analysis," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 33(5), pages 727-748, September.
- Chen, Cynthia & Gong, Hongmian & Lawson, Catherine & Bialostozky, Evan, 2010. "Evaluating the feasibility of a passive travel survey collection in a complex urban environment: Lessons learned from the New York City case study," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(10), pages 830-840, December.
- McNally, Michael G. & Ryan, Sherry, 1992. "A Comparative Assessment of Travel Characteristics for Neo-Traditional Developments," University of California Transportation Center, Working Papers qt03n6593v, University of California Transportation Center.
- Kees Maat & Bert van Wee & Dominic Stead, 2005. "Land use and travel behaviour: expected effects from the perspective of utility theory and activity-based theories," Environment and Planning B: Planning and Design, Pion Ltd, London, vol. 32(1), pages 33-46, January.
- Boarnet, Marlon & Crane, Randall, 2001. "The influence of land use on travel behavior: specification and estimation strategies," Transportation Research Part A: Policy and Practice, Elsevier, vol. 35(9), pages 823-845, November.
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- repec:eee:appene:v:195:y:2017:i:c:p:810-818 is not listed on IDEAS
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- repec:kap:transp:v:45:y:2018:i:3:d:10.1007_s11116-016-9756-9 is not listed on IDEAS
- Pozdnukhov, Alexey, 2016. "Demand Forecasting and Activity-based Mobility Modeling from Cell Phone Data," Institute of Transportation Studies, Research Reports, Working Papers, Proceedings qt4hc9r218, Institute of Transportation Studies, UC Berkeley.
- Zhao, Shuangming & Zhao, Pengxiang & Cui, Yunfan, 2017. "A network centrality measure framework for analyzing urban traffic flow: A case study of Wuhan, China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 478(C), pages 143-157.
More about this item
KeywordsCell phone data; Mobility patterns; Activity-based models; Activity recognition; Unsupervised learning; Relational Markov network;
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