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Augmenting Transit Trip Characterization and Travel Behavior Comprehension
13 references·16 citing·32 second hop
Augmenting Transit Trip Characterization and Travel Behavior Comprehension (2010)Augmenting Transit Trip Characterization …Urban Transportation Planning (2017)Urban Transportation PlanningProcessing Raw Data from Global Positioning Systems without Additional Information (2009)Processing Raw Data from Glob…Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea (2008)Use of Smart Card Data to Def…Enriching Archived Smart Card Transaction Data for Transit Demand Modeling (2008)Enriching Archived Smart Card…Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil (2008)Constructing an Automated Bus…Measuring transit use variability with smart-card data (2007)Measuring transit use variabi…Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Individual Trip Destination E…Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems (2006)Enhanced System for Link and …Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems (2006)Bus passenger Origin-Destinat…A Trip Reconstruction Tool for GPS-based Personal Travel Surveys (2005)A Trip Reconstruction Tool fo…Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information (2004)Eighty Weeks of Global Positi…Observing the rhythms of daily life: A six-week travel diary (2002)Observing the rhythms of dail…Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data (2001)Elimination of the Travel Dia…Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis (2021)Heterogeneity in Activity-tra…Examining public transport usage by older adults with smart card data: A longitudinal study in Japan (2021)Examining public transport us…Mining commuting behavior of urban rail transit network by using association rules (2020)Mining commuting behavior of …Analyzing Transit User Behavior with 51 Weeks of Smart Card Data (2019)Analyzing Transit User Behavi…Life-Cycle Asset Management in Residential Developments Building on Transport System Critical Attributes via a Data-Mining Algorithm (2018)Life-Cycle Asset Management i…Identifying road user classes based on repeated trip behaviour using Bluetooth data (2018)Identifying road user classes…Evaluation and Improvement of the Interchange from Bus to Metro Using Smart Card Data and GIS (2018)Evaluation and Improvement of…Applications of transit smart cards beyond a fare collection tool: a literature review (2018)Applications of transit smart…A robust method for estimating transit passenger trajectories using automated data (2018)A robust method for estimatin…Revealing group travel behavior patterns with public transit smart card data (2017)Revealing group travel behavi…Constructing Transit Origin–Destination Matrices with Spatial Clustering (2017)Constructing Transit Origin–D…Analysing the spatial-temporal characteristics of bus travel demand using the heat map (2017)Analysing the spatial-tempora…Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro (2016)Identifying passenger flow ch…Early birds, night owls, and tireless/recurring itinerants: An exploratory analysis of extreme transit behaviors in Beijing, China (2016)Early birds, night owls, and …Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses (2015)Quantifying transit travel ex…An analysis on movement patterns between zones using smart card data in subway networks (2014)An analysis on movement patte…The potential of public transport smart card data (2005)Estimation method for railway passengers’ train choice behavior with smart card transaction data (2010)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Learning transportation mode from raw gps data for geographic applications on the web (2008)Route choice of cyclists in Zurich (2010)A GPS/GIS method for travel mode detection in New York City (2011)Using Global Positioning Systems in Health Research (2011)Introduction: Habitual travel choice (2003)Passenger Segmentation Using Smart Card Data (2014)Zooming into individuals to understand the collective: A review of trajectory-based travel behaviour studies (2014)Inferring patterns in the multi-week activity sequences of public transport users (2016)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)An automated GPS-based prompted recall survey with learning algorithms (2009)An analysis of the factors influencing differences in survey-reported and GPS-recorded trips (2011)Detecting trip purposes from smartphone-based travel surveys with artificial neural networks and particle swarm optimization (2016)Tracking tourists in the digital age (2007)Using Mobile Positioning Data to Model Locations Meaningful to Users of Mobile Phones (2010)Applying mobile phone data to travel behaviour research: A literature review (2017)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Behavioural data mining of transit smart card data: A data fusion approach (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)Deriving Personal Trip Data from GPS Data: A Literature Review on the Existing Methodologies (2014)Travel mode detection based on GPS track data and Bayesian networks (2015)Route choice modeling with network-free data (2007)The Minimum Circuity Frontier and the Journey to Work (2009)Latent variables and route choice behavior (2011)En-gendering Effective Planning: Spatial Mismatch, Low-Income Women, and Transportation Policy (2004)Spatial statistics for urban analysis: A review of techniques with examples (2004)Spatial–temporal analysis of urban growth and transportation in Jeddah City, Saudi Arabia (2012)
this work references cited by second hop

References

  • 2002Observing the rhythms of daily life: A six-week travel diary503 cited
  • 2001Elimination of the Travel Diary: Experiment to Derive Trip Purpose from Global Positioning System Travel Data394 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2009Processing Raw Data from Global Positioning Systems without Additional Information326 cited
  • 2007Measuring transit use variability with smart-card data271 cited
  • 2017Urban Transportation Planning195 cited
  • 2006Enhanced System for Link and Mode Identification for Personal Travel Surveys Based on Global Positioning Systems165 cited
  • 2005A Trip Reconstruction Tool for GPS-based Personal Travel Surveys161 cited
  • 2008Enriching Archived Smart Card Transaction Data for Transit Demand Modeling150 cited
  • 2004Eighty Weeks of Global Positioning System Traces: Approaches to Enriching Trip Information141 cited
  • 2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil106 cited
  • 2008Use of Smart Card Data to Define Public Transit Use in Seoul, South Korea98 cited
  • 2006Bus passenger Origin-Destination Matrix estimation using Automated Data Collection systems97 cited

Cited by

  • 2017

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Analysing the spatial-temporal characteristics of bus travel demand using the heat map
68 cited
  • 2018A robust method for estimating transit passenger trajectories using automated data64 cited
  • 2016Early birds, night owls, and tireless/recurring itinerants: An exploratory analysis of extreme transit behaviors in Beijing, China63 cited
  • 2016Identifying passenger flow characteristics and evaluating travel time reliability by visualizing AFC data: a case study of Shanghai Metro61 cited
  • 2021Heterogeneity in Activity-travel Patterns of Public Transit Users: An Application of Latent Class Analysis58 cited
  • 2015Quantifying transit travel experiences from the users’ perspective with high-resolution smartphone and vehicle location data: Methodologies, validation, and example analyses50 cited
  • 2017Revealing group travel behavior patterns with public transit smart card data50 cited
  • 2019Analyzing Transit User Behavior with 51 Weeks of Smart Card Data48 cited
  • 2018Life-Cycle Asset Management in Residential Developments Building on Transport System Critical Attributes via a Data-Mining Algorithm45 cited
  • 2021Examining public transport usage by older adults with smart card data: A longitudinal study in Japan45 cited
  • 2017Constructing Transit Origin–Destination Matrices with Spatial Clustering40 cited
  • 2014An analysis on movement patterns between zones using smart card data in subway networks39 cited
  • 2018Identifying road user classes based on repeated trip behaviour using Bluetooth data31 cited
  • 2018Applications of transit smart cards beyond a fare collection tool: a literature review29 cited
  • 2020Mining commuting behavior of urban rail transit network by using association rules29 cited
  • 2018Evaluation and Improvement of the Interchange from Bus to Metro Using Smart Card Data and GIS28 cited