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Exploring regularity and structure in travel behavior using Smart Card data
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Exploring regularity and structure in travel behavior using Smart Card data (2015)Exploring regularity and structure in tra…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Clustering daily patterns of human activities in the city (2012)Clustering daily patterns of …Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Eigenbehaviors: identifying structure in routine (2009)Eigenbehaviors: identifying s…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Assessing the accuracy of the Sydney Household Travel Survey with GPS (2007)Assessing the accuracy of the…Latent lifestyle preferences and household location decisions (2006)Latent lifestyle preferences …Reality mining: sensing complex social systems (2005)Reality mining: sensing compl…BIOGEME: a free package for the estimation of discrete choice models (2003)BIOGEME: a free package for t…Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling (2000)Incorporating Observed and Un…A retrospective and prospective survey of time-use research (1999)A retrospective and prospecti…Market Segmentation: Conceptual and Methodological Foundations (1997)Market Segmentation: Conceptu…Travel demand model system for the information era (1996)Travel demand model system fo…Systematic variability in repetitious travel (1988)Systematic variability in rep…Repetition and Variability in Urban Travel (1986)Repetition and Variability in…The Use of the Life-Style Concept in Travel Demand Models (1983)The Use of the Life-Style Con…Using GPS to learn significant locations and predict movement across multiple users (2003)Understanding individual human mobility patterns (2008)Limits of Predictability in Human Mobility (2010)The Mobile Data Challenge: Big Data for Mobile Computing Research (2012)Measuring Large-Scale Social Networks with High Resolution (2014)Urban Sensing Using Mobile Phone Network Data: A Survey of Research (2014)Motivation and personality (1993)Motivation and Personality (1997)A review of urban computing for mobile phone traces (2013)Inferring patterns in the multi-week activity sequences of public transport users (2016)Coupling mobile phone and social media data: a new approach to understanding urban functions and diurnal patterns (2017)Stated choice methods analysis and applications (2000)Stated Choice Methods (2000)Discrete Choice Methods with Simulation (2003)Self‐Selection: A Key to a Better Understanding of Location Choices, Travel Behaviour and Transport Externalities? 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References

  • 2005Reality mining: sensing complex social systems2,771 cited
  • 1997Market Segmentation: Conceptual and Methodological Foundations1,866 cited
  • 2003BIOGEME: a free package for the estimation of discrete choice models884 cited
  • 2009Eigenbehaviors: identifying structure in routine504 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2006Latent lifestyle preferences and household location decisions331 cited
  • 2007Assessing the accuracy of the Sydney Household Travel Survey with GPS289 cited
  • 2012Clustering daily patterns of human activities in the city282 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2000Incorporating Observed and Unobserved Heterogeneity in Urban Work Travel Mode Choice Modeling241 cited
  • 1999A retrospective and prospective survey of time-use research239 cited
  • 1983The Use of the Life-Style Concept in Travel Demand Models239 cited
  • 2014Passenger Segmentation Using Smart Card Data195 cited
  • 1988Systematic variability in repetitious travel185 cited
  • 1996Travel demand model system for the information era170 cited

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  • 1986Repetition and Variability in Urban Travel167 cited
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