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A high-precision heuristic model to detect home and work locations from smart card data
16 references·16 citing·36 second hopsampled
A high-precision heuristic model to detect home and work locations from smart card data (2018)A high-precision heuristic model to detec…Transport modelling in the age of big data (2017)Transport modelling in the ag…The TimeGeo modeling framework for urban mobility without travel surveys (2016)The TimeGeo modeling framewor…Origin–destination trips by purpose and time of day inferred from mobile phone data (2015)Origin–destination trips by p…Understanding urban human activity and mobility patterns using large-scale location-based data from online social media (2013)Understanding urban human act…Spatiotemporal Patterns of Urban Human Mobility (2012)Spatiotemporal Patterns of Ur…Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Detection of Activities of Pu…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Identifying Important Places in People’s Lives from Cellular Network Data (2011)Identifying Important Places …Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Using Mobile Positioning Data…Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Analyzing Multimodal Public T…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems (2007)Estimating a Rail Passenger T…MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA (2006)MINING PUBLIC TRANSPORT USER …The potential of public transport smart card data (2005)The potential of public trans…Land Use and Travel Behaviour: Expected Effects from the Perspective of Utility Theory and Activity-Based Theories (2005)Land Use and Travel Behaviour…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data (2024)Unveiling mobility patterns b…Mining individual daily commuting patterns of dockless bike-sharing users: A two-layer framework integrating spatiotemporal flow clustering and rule-based decision trees (2024)Mining individual daily commu…Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data (2024)Activity-based individual tra…The equity of public transport crowding exposure (2023)The equity of public transpor…Voting with one's feet: Unraveling urban centers attraction using visiting frequency (2022)Voting with one's feet: Unrav…Unravelling the spatial properties of individual mobility patterns using longitudinal travel data (2022)Unravelling the spatial prope…Unravelling individual mobility temporal patterns using longitudinal smart card data (2022)Unravelling individual mobili…Associations of land use around rail transit stations with jobs–housing distribution of rail commuters from smart-card data (2022)Associations of land use arou…Research on the Method of Urban Jobs-Housing Space Recognition Combining Trajectory and POI Data (2021)Research on the Method of Urb…Influence of Socioeconomic Factors on Transit Demand During the COVID-19 Pandemic: A Case Study of Bogotá’s BRT System (2021)Influence of Socioeconomic Fa…ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs (2021)ActivityNET: Neural networks …You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data (2020)You are how you travel: A mul…Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London (2020)Semantic enrichment of second…Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data (2020)Cluster and characteristic an…Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China (2019)Exploring the Weekly Travel P…EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY (2019)EXPLORING THE RELATIONSHIP BE…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)WHAT ABOUT PEOPLE IN REGIONAL SCIENCE? (1970)Scripts, plans, goals, and understanding : an inquiry into human knowledge structures. By Roger C. Schank and Robert P. Abelson. Hillsdale, NJ: Lawrence Erlbaum Associates, 1977. Pp. 248. (1978)The New Mobilities Paradigm (2006)Beyond Space (As We Knew It): Toward Temporally Integrated Geographies of Segregation, Health, and Accessibility (2013)On data processing required to derive mobility patterns from passively-generated mobile phone data (2017)Geography: A Modern Synthesis (1972)Geography: a modern synthesis (2004)Behavioural data mining of transit smart card data: A data fusion approach (2014)Modelling the scaling properties of human mobility (2010)Unravelling daily human mobility motifs (2013)The path most traveled: Travel demand estimation using big data resources (2015)Activity-Based Human Mobility Patterns Inferred from Mobile Phone Data: A Case Study of Singapore (2016)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Property, Privacy, and Personal Data (2004)Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Mining smart card data for transit riders’ travel patterns (2013)The scaling laws of human travel (2006)Friendship and mobility (2011)Urban activity pattern classification using topic models from online geo-location data (2014)Check-in behaviour and spatio-temporal vibrancy: An exploratory analysis in Shenzhen, China (2018)Nonlinear and synergistic effects of TOD on urban vibrancy: Applying local explanations for gradient boosting decision tree (2021)The origin of bursts and heavy tails in human dynamics (2005)A review of urban computing for mobile phone traces (2013)Delineating urban functional areas with building-level social media data: A dynamic time warping (DTW) distance based k-medoids method (2016)Citizens as sensors: the world of volunteered geography (2007)Human mobility and socioeconomic status: Analysis of Singapore and Boston (2018)Urban mobility and neighborhood isolation in America’s 50 largest cities (2018)A survey on deep learning for human mobility (2023)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Clustering Smart Card Data for Urban Mobility Analysis (2016)
this work references cited by second hop· second hop is a sample of the most-cited connections

References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2015Origin–destination trips by purpose and time of day inferred from mobile phone data637 cited
  • 2011Identifying Important Places in People’s Lives from Cellular Network Data401 cited
  • 2005The potential of public transport smart card data396 cited
  • 2010Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones393 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2013Understanding urban human activity and mobility patterns using large-scale location-based data from online social media315 cited
  • 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
  • 2016The TimeGeo modeling framework for urban mobility without travel surveys295 cited
  • 2012Spatiotemporal Patterns of Urban Human Mobility282 cited
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 2006MINING PUBLIC TRANSPORT USER BEHAVIOUR FROM SMART CARD DATA199 cited
  • 2017Transport modelling in the age of big data183 cited
  • 2009Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data180 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2005Land Use and Travel Behaviour: Expected Effects from the Perspective of Utility Theory and Activity-Based Theories162 cited
  • 2012Detection of Activities of Public Transport Users by Analyzing Smart Card Data148 cited
  • Cited by

    • 2021ActivityNET: Neural networks to predict public transport trip purposes from individual smart card data and POIs40 cited
    • 2020You are how you travel: A multi-task learning framework for Geodemographic inference using transit smart card data38 cited
    • 2020Cluster and characteristic analysis of Shanghai metro stations based on metro card and land-use data32 cited
    • 2022Unravelling individual mobility temporal patterns using longitudinal smart card data28 cited
    • 2020Semantic enrichment of secondary activities using smart card data and point of interests: a case study in London21 cited
    • 2019Exploring the Weekly Travel Patterns of Private Vehicles Using Automatic Vehicle Identification Data: A Case Study of Wuhan, China19 cited
    • 2023The equity of public transport crowding exposure16 cited
    • 2022Unravelling the spatial properties of individual mobility patterns using longitudinal travel data15 cited
    • 2022Voting with one's feet: Unraveling urban centers attraction using visiting frequency14 cited
    • 2024Mining individual daily commuting patterns of dockless bike-sharing users: A two-layer framework integrating spatiotemporal flow clustering and rule-based decision trees12 cited
    • 2021Influence of Socioeconomic Factors on Transit Demand During the COVID-19 Pandemic: A Case Study of Bogotá’s BRT System12 cited
    • 2022Associations of land use around rail transit stations with jobs–housing distribution of rail commuters from smart-card data11 cited
    • 2021Research on the Method of Urban Jobs-Housing Space Recognition Combining Trajectory and POI Data10 cited
    • 2024Activity-based individual travel regularity exploring with entropy-space K-means clustering using smart card data9 cited
    • 2024Unveiling mobility patterns beyond home/work activities: A topic modeling approach using transit smart card and land-use data8 cited
    • 2019EXPLORING THE RELATIONSHIP BETWEEN TRAVEL PATTERN AND SOCIAL-DEMOGRAPHICS USING SMART CARD DATA AND HOUSEHOLD SURVEY8 cited