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Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data
9 references·16 citing·22 second hop
Inference of Public Transportation Trip Destinations by Using Fare Transaction and Vehicle Location Data (2017)Inference of Public Transportation Trip D…Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data (2013)Automated Inference of Linked…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …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…Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City (2009)Use of Entry-Only Automatic F…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…Passenger valuation of interchanges in urban public transport (2024)Passenger valuation of interc…Robust path recommendations during public transit disruptions under demand uncertainty (2023)Robust path recommendations d…Public transport crowding valuation in a post-pandemic era (2023)Public transport crowding val…Mobility knowledge graph: review and its application in public transport (2023)Mobility knowledge graph: rev…Inferring origin and destination zones of transit trips through fusion of smart card transactions, travel surveys, and land-use data (2022)Inferring origin and destinat…Analysis and prediction of ridership impacts during planned public transport disruptions (2022)Analysis and prediction of ri…Taking the path less travelled: Valuation of denied boarding in crowded public transport systems (2021)Taking the path less travelle…Estimation of metro network passenger delay from individual trajectories (2020)Estimation of metro network p…Identifying commonly used and potentially unsafe transit transfers with crowdsourcing (2019)Identifying commonly used and…Alighting stop determination using two-step algorithms in bus transit systems (2019)Alighting stop determination …Workshop 8 report: Big data in the digital age and how it can benefit public transport users (2018)Workshop 8 report: Big data i…Transit Data Analytics for Planning, Monitoring, Control, and Information (2018)Transit Data Analytics for Pl…Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China (2018)Identifying Public Transit Co…Estimation of population origin–interchange–destination flows on multimodal transit networks (2018)Estimation of population orig…Estimation of Passengers Left Behind by Trains in High-Frequency Transit Service Operating Near Capacity (2018)Estimation of Passengers Left…A robust transfer inference algorithm for public transport journeys during disruptions (2017)A robust transfer inference a…Potential Uses of Transit Smart Card Registration and Transaction Data to Improve Transit Planning (2006)Transit smart card data mining for passenger origin information extraction (2012)Activity detection and transfer identification for public transit fare card data (2015)Transit OD matrix estimation using smartcard data: Recent developments and future research challenges (2021)The potential of public transport smart card data (2005)Behavioural data mining of transit smart card data: A data fusion approach (2014)Property, Privacy, and Personal Data (2004)The promises of big data and small data for travel behavior (aka human mobility) analysis (2016)Real-time holding control for high-frequency transit with dynamics (2015)Validating and improving public transport origin–destination estimation algorithm using smart card fare data (2016)Crowding valuation in urban tram and bus transportation based on smart card data (2018)Clustering Smart Card Data for Urban Mobility Analysis (2016)Transport modelling in the age of big data (2017)Mining smart card data for transit riders’ travel patterns (2013)Detecting the dynamics of urban structure through spatial network analysis (2014)Analyzing year-to-year changes in public transport passenger behaviour using smart card data (2017)The Resilience to Emergencies and Disasters Index: Applying big data to benchmark and validate neighborhood resilience capacity (2017)Passenger Journey Destination Estimation From Automated Fare Collection System Data Using Spatial Validation (2015)Emerging Big Data Sources for Public Transport Planning: A Systematic Review on Current State of Art and Future Research Directions (2019)How comparable are origin-destination matrices estimated from automatic fare collection, origin-destination surveys and household travel survey? An empirical investigation in Lyon (2020)Estimating the route-level passenger demand profile from bus dwell times (2021)Personalized Multimodal Travel Service Design for sustainable intercity transport (2021)
this work references cited by second hop

References

  • 2011Smart card data use in public transit: A literature review930 cited
  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 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
  • 2002Origin and Destination Estimation in New York City with Automated Fare System Data274 cited
  • 2011Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems217 cited
  • 2013Automated Inference of Linked Transit Journeys in London Using Fare-Transaction and Vehicle Location Data163 cited
  • 2009Use of Entry-Only Automatic Fare Collection Data to Estimate Linked Transit Trips in New York City122 cited
  • 2008Constructing an Automated Bus Origin–Destination Matrix Using Farecard and Global Positioning System Data in São Paulo, Brazil106 cited

Cited by

  • 2018Estimation of population origin–interchange–destination flows on multimodal transit networks43 cited
  • 2021Taking the path less travelled: Valuation of denied boarding in crowded public transport systems36 cited
  • 2019Alighting stop determination using two-step algorithms in bus transit systems35 cited
  • 2018Transit Data Analytics for Planning, Monitoring, Control, and Information

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33 cited
  • 2023Robust path recommendations during public transit disruptions under demand uncertainty29 cited
  • 2017A robust transfer inference algorithm for public transport journeys during disruptions29 cited
  • 2018Workshop 8 report: Big data in the digital age and how it can benefit public transport users24 cited
  • 2023Mobility knowledge graph: review and its application in public transport18 cited
  • 2018Estimation of Passengers Left Behind by Trains in High-Frequency Transit Service Operating Near Capacity18 cited
  • 2020Estimation of metro network passenger delay from individual trajectories17 cited
  • 2023Public transport crowding valuation in a post-pandemic era17 cited
  • 2019Identifying commonly used and potentially unsafe transit transfers with crowdsourcing16 cited
  • 2024Passenger valuation of interchanges in urban public transport15 cited
  • 2018Identifying Public Transit Commuters Based on Both the Smartcard Data and Survey Data: A Case Study in Xiamen, China14 cited
  • 2022Analysis and prediction of ridership impacts during planned public transport disruptions13 cited
  • 2022Inferring origin and destination zones of transit trips through fusion of smart card transactions, travel surveys, and land-use data12 cited