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Regularity of vehicle trips in urban areas
15 references·1 citing·41 second hopsampled
Regularity of vehicle trips in urban areas (2019)Regularity of vehicle trips in urban areasIdentifying road user classes based on repeated trip behaviour using Bluetooth data (2018)Identifying road user classes…PRED (2017)PREDMeasuring Regularity of Individual Travel Patterns (2017)Measuring Regularity of Indiv…Understanding commuting patterns using transit smart card data (2016)Understanding commuting patte…Transportation habits: Evidence from time diary data (2015)Transportation habits: Eviden…Passenger Segmentation Using Smart Card Data (2014)Passenger Segmentation Using …Understanding metropolitan patterns of daily encounters (2013)Understanding metropolitan pa…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method (2013)Measuring similarity of mobil…Measuring Individual Regularity in Human Visiting Patterns (2012)Measuring Individual Regulari…Limits of Predictability in Human Mobility (2010)Limits of Predictability in H…Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks (2010)Does Urban Mobility Have a Da…Understanding individual human mobility patterns (2008)Understanding individual huma…Habitual travel behaviour: Evidence from a six-week travel diary (2003)Habitual travel behaviour: Ev…Observing the rhythms of daily life: A six-week travel diary (2002)Observing the rhythms of dail…Mining human periodic behaviors via tensor factorization and entropy (2024)Mining human periodic behavio…The Travel-Activity Patterns of Urban Residents: Dimensions and Relationships to Sociodemographic Characteristics (1981)Hazard‐based duration models and their application to transport analysis (1994)SURVEY METHODS FOR TRANSPORT PLANNING (1995)Activity spaces: measures of social exclusion? (2003)Unravelling daily human mobility motifs (2013)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)THE AUTOMATIC ACTIVATION OF GOAL-DIRECTED BEHAVIOUR: THE CASE OF TRAVEL HABIT (2000)Rough-Fuzzy Hybridization: A New Trend in Decision Making (1999)Smart card data use in public transit: A literature review (2011)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)The origin of bursts and heavy tails in human dynamics (2005)Modeling bursts and heavy tails in human dynamics (2006)The scaling laws of human travel (2006)Computational Social Science (2009)Friendship and mobility (2011)Simulating dynamical features of escape panic (2000)Reality mining: sensing complex social systems (2005)A universal model for mobility and migration patterns (2012)Smart cities of the future (2012)Measuring transit use variability with smart-card data (2007)Transit market research using structural equation modeling and attitudinal market segmentation (2008)Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Clustering Smart Card Data for Urban Mobility Analysis (2016)Inferring patterns in the multi-week activity sequences of public transport users (2016)Travel and the Built Environment: A Synthesis (2001)Mobile Landscapes: Using Location Data from Cell Phones for Urban Analysis (2006)Development of origin–destination matrices using mobile phone call data (2014)Social Sensing: A New Approach to Understanding Our Socioeconomic Environments (2015)The path most traveled: Travel demand estimation using big data resources (2015)Five Rules for the Evolution of Cooperation (2006)Detecting the dynamics of urban structure through spatial network analysis (2014)Human mobility: Models and applications (2018)Multiple Attribute Decision Making: Methods and Applications (1981)Spatiotemporal Recurrent Convolutional Networks for Traffic Prediction in Transportation Networks (2017)Lockdowned: Everyday mobility changes in response to COVID-19 (2020)Activity-based disaggregate travel demand model system with activity schedules (2001)Analysis and Prediction of Regional Mobility Patterns of Bus Travellers Using Smart Card Data and Points of Interest Data (2018)Exploring Individual Travel Patterns Across Private Car Trajectory Data (2019)A hierarchical temporal attention-based LSTM encoder-decoder model for individual mobility prediction (2020)
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References

  • 2008Understanding individual human mobility patterns6,185 cited
  • 2010Limits of Predictability in Human Mobility3,282 cited
  • 2013Mining smart card data for transit riders’ travel patterns627 cited
  • 2002Observing the rhythms of daily life: A six-week travel diary530 cited
  • 2003Habitual travel behaviour: Evidence from a six-week travel diary399 cited
  • 2016Understanding commuting patterns using transit smart card data352 cited
  • 2010Does Urban Mobility Have a Daily Routine? Learning from the Aggregate Data of Mobile Networks277 cited
  • 2013Understanding metropolitan patterns of daily encounters238 cited
  • 2014Passenger Segmentation Using Smart Card Data200 cited
  • 2017Measuring Regularity of Individual Travel Patterns122 cited
  • 2013Measuring similarity of mobile phone user trajectories– a Spatio-temporal Edit Distance method94 cited
  • 2017PRED76 cited
  • 2018Identifying road user classes based on repeated trip behaviour using Bluetooth data31 cited
  • 2012Measuring Individual Regularity in Human Visiting Patterns28 cited
  • 2015Transportation habits: Evidence from time diary data25 cited

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Cited by

  • 2024Mining human periodic behaviors via tensor factorization and entropy2 cited