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Workshop 5 report: Harnessing big data
4 references·1 citing·15 second hop
Workshop 5 report: Harnessing big data (2016)Workshop 5 report: Harnessing big dataUsing smart card and GPS data for policy and planning: The case of Transantiago (2016)Using smart card and GPS data…Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data (2016)Comparison of passengers' beh…Classification of London's public transport users using smart card data (2013)Classification of London's pu…Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile (2012)Estimation of a disaggregate …Bus Load Inference and Crowding Performance Evaluation through Disaggregate Analysis of Fare Transaction, Vehicle Location, and Passenger Count Data (2018)Bus Load Inference and Crowdi…Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Detecting the dynamics of urban structure through spatial network analysis (2014)Clustering Smart Card Data for Urban Mobility Analysis (2016)Transit Assignment for Congested Public Transport Systems: An Equilibrium Model (1993)Individual Trip Destination Estimation in a Transit Smart Card Automated Fare Collection System (2007)Improved algorithms for trip‐chain estimation using massive student behaviour data from urban transit systems (2018)Validating travel behavior estimated from smartcard data (2014)Mitigating Bias in Big Data for Transportation (2020)Unveiling route choice strategy heterogeneity from smart card data in a large-scale public transport network (2021)The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data (2022)Crowding in public transport systems: Effects on users, operation and implications for the estimation of demand (2013)Research on classification and influencing factors of metro commuting patterns by combining smart card data and household travel survey data (2019)Behavioral response to promotion-based public transport demand management: Longitudinal analysis and implications for optimal promotion design (2020)Mining commuting behavior of urban rail transit network by using association rules (2020)
this work references cited by second hop

References

  • 2012Estimation of a disaggregate multimodal public transport Origin–Destination matrix from passive smartcard data from Santiago, Chile528 cited
  • 2016Using smart card and GPS data for policy and planning: The case of Transantiago56 cited
  • 2013Classification of London's public transport users using smart card data40 cited
  • 2016Comparison of passengers' behavior and aggregate demand levels on a subway system using origin-destination surveys and smartcard data13 cited

Cited by

  • 2018Bus Load Inference and Crowding Performance Evaluation through Disaggregate Analysis of Fare Transaction, Vehicle Location, and Passenger Count Data7 cited

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