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A Method for Bus OD Matrix Estimation Using Multisource Data
16 references·6 citing·26 second hop
A Method for Bus OD Matrix Estimation Using Multisource Data (2020)A Method for Bus OD Matrix Estimation Usi…Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach (2018)Exploring Spatially Varying I…Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China (2018)Better Understanding the Char…Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience (2016)Public bicycle as a feeder mo…Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure (2016)Optimal transit fare and serv…Models of bus boarding and alighting dynamics (2014)Models of bus boarding and al…Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)Examining the spatial–tempora…Behavioural data mining of transit smart card data: A data fusion approach (2014)Behavioural data mining of tr…Mining smart card data for transit riders’ travel patterns (2013)Mining smart card data for tr…Transit Stop-Level Origin–Destination Estimation through Use of Transit Schedule and Automated Data Collection System (2011)Transit Stop-Level Origin–Des…Smart card data use in public transit: A literature review (2011)Smart card data use in public…Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Bus Passenger Origin-Destinat…Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data (2009)Analyzing Multimodal Public T…Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil (2008)Constructing an Automated Bus…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…Origin and Destination Estimation in New York City with Automated Fare System Data (2002)Origin and Destination Estima…A Literature Review of Public Transport OD Matrix Estimation (2026)A Literature Review of Public…Alighting location estimation from public transit data: a case study of Shenzhen (2024)Alighting location estimation…Transit Travel Community Detection and Evolutionary Analysis: A Case Study of Shenzhen (2023)Transit Travel Community Dete…A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction (2023)A Bayesian Markov Model for S…How Can the Layout of Public Service Facilities Be Optimized to Reduce Travel-Related Carbon Emissions? Evidence from Changxing County, China (2022)How Can the Layout of Public …Construction of Commuters’ Multi-Mode Choice Model Based on Public Transport Operation Data (2022)Construction of Commuters’ Mu…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Understanding commuting patterns using transit smart card data (2016)A geographically and temporally weighted regression model to explore the spatiotemporal influence of built environment on transit ridership (2018)The potential of public transport smart card data (2005)Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)Transport modelling in the age of big data (2017)Observing the rhythms of daily life: A six-week travel diary (2002)Inferring patterns in the multi-week activity sequences of public transport users (2016)Public transport for smart cities: Recent innovations and future challenges (2022)Property, Privacy, and Personal Data (2004)Discrete Choice Analysis: Theory and Application to Travel Demand. 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The role of the feeder-related built environment: Analytical framework and empirical evidence (2020)Personal, Family, Social, and Environmental Correlates of Active Commuting to School (2006)Promoting transportation cycling for women: The role of bicycle infrastructure (2007)Effects of built environment and weather on bike sharing demand: a station level analysis of commercial bike sharing in Toronto (2015)Understanding bike sharing use over time by employing extended technology continuance theory (2019)Relationship between eye-level greenness and cycling frequency around metro stations in Shenzhen, China: A big data approach (2020)Clustering Smart Card Data for Urban Mobility Analysis (2016)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)Crowding valuation in urban tram and bus transportation based on smart card data (2018)
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References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2013Mining smart card data for transit riders’ travel patterns606 cited
  • 2007Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System372 cited
  • 2007Estimating a Rail Passenger Trip Origin‐Destination Matrix Using Automatic Data Collection Systems296 cited
  • 2014Behavioural data mining of transit smart card data: A data fusion approach278 cited
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 2016Public bicycle as a feeder mode to rail transit in China: The role of gender, age, income, trip purpose, and bicycle theft experience238 cited
  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 2009Analyzing Multimodal Public Transport Journeys in London with Smart Card Fare Payment Data180 cited
  • 2018Better Understanding the Characteristics and Influential Factors of Different Travel Patterns in Free-Floating Bike Sharing: Evidence from Nanjing, China163 cited
  • 2014Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap146 cited
  • 2011Transit Stop-Level Origin–Destination Estimation through Use of Transit Schedule and Automated Data Collection System136 cited
  • 2018Exploring Spatially Varying Influences on Metro-Bikeshare Transfer: A Geographically Weighted Poisson Regression Approach

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130 cited
  • 2014Models of bus boarding and alighting dynamics113 cited
  • 2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil106 cited
  • 2016Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure102 cited
  • Cited by

    • 2022Construction of Commuters’ Multi-Mode Choice Model Based on Public Transport Operation Data13 cited
    • 2022How Can the Layout of Public Service Facilities Be Optimized to Reduce Travel-Related Carbon Emissions? Evidence from Changxing County, China6 cited
    • 2023Transit Travel Community Detection and Evolutionary Analysis: A Case Study of Shenzhen4 cited
    • 2024Alighting location estimation from public transit data: a case study of Shenzhen4 cited
    • 2023A Bayesian Markov Model for Station-Level Origin-Destination Matrix Reconstruction4 cited
    • 2026A Literature Review of Public Transport OD Matrix Estimation3 cited