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Pre-peak fare discount policy for managing morning peak demand of interregional bus travel: a case study in Seoul metropolitan area
16 references·2 citing·42 second hop
Pre-peak fare discount policy for managing morning peak demand of interregional bus travel: a case study in Seoul metropolitan area (2023)Pre-peak fare discount policy for managin…Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data (2022)Estimating on-board passenger…Exploring the Behaviour Change of Crowding Impedance on Public Transit due to COVID-19 Pandemic: Before and After Comparison (2021)Exploring the Behaviour Chang…Quantifying the ex-post causal impact of differential pricing on commuter trip scheduling in Hong Kong (2020)Quantifying the ex-post causa…Modelling heterogeneity in behavioral response to peak-avoidance policy utilizing naturalistic data of Beijing subway travelers (2020)Modelling heterogeneity in be…Fare incentive strategies for managing peak-hour congestion in urban rail transit networks (2020)Fare incentive strategies for…Measuring Retiming Responses of Passengers to a Prepeak Discount Fare by Tracing Smart Card Data: A Practical Experiment in the Beijing Subway (2019)Measuring Retiming Responses …Demand management of congested public transport systems: a conceptual framework and application using smart card data (2019)Demand management of congeste…Crowding valuation in urban tram and bus transportation based on smart card data (2018)Crowding valuation in urban t…Temporary Incentives Change Daily Routines: Evidence from a Field Experiment on Singapore’s Subways (2017)Temporary Incentives Change D…Reducing Subway Crowding: Analysis of an Off-Peak Discount Experiment in Hong Kong (2016)Reducing Subway Crowding: Ana…The distribution of crowding costs in public transport: New evidence from Paris (2015)The distribution of crowding …Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence (2005)Willingness-to-Pay Estimation…Estimation of value of travel-time savings using mixed logit models (2004)Estimation of value of travel…The Mixed Logit model: The state of practice (2003)The Mixed Logit model: The st…Discrete Choice Methods with Simulation (2001)Discrete Choice Methods with …Mixed MNL models for discrete response (2000)Mixed MNL models for discrete…Route Planning for Flexible Bus Services in Regional Cities and Rural Areas: Combining User Preferences with Spatial Analysis (2024)Route Planning for Flexible B…Free interchange for better transit? Assessing the multi-dimensional impacts on metro to bus interchange behavior − insights from an explainable machine learning method (2024)Free interchange for better t…Discrete Choice Methods with Simulation (2003)Applications of Simulation Methods in Environmental and Resource Economics (2005)Where do cyclists ride? 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(1987)Discrete choice analysis: Theory and application to travel demand (1988)Identifying human mobility patterns using smart card data (2023)Online prediction of network-level public transport demand based on principle component analysis (2023)The Economics of Urban Transportation (2007)COVID-19 and Public Transportation: Current Assessment, Prospects, and Research Needs (2020)Public transit travel choice in the post COVID-19 pandemic era: An application of the extended Theory of Planned behavior (2022)Traveller behaviour in public transport in the early stages of the COVID-19 pandemic in the Netherlands (2022)
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References

  • 2001Discrete Choice Methods with Simulation7,780 cited
  • 2000Mixed MNL models for discrete response4,354 cited
  • 2003The Mixed Logit model: The state of practice2,044 cited
  • 2004Estimation of value of travel-time savings using mixed logit models377 cited
  • 2005Willingness-to-Pay Estimation with Mixed Logit Models: Some New Evidence311 cited
  • 2018Crowding valuation in urban tram and bus transportation based on smart card data165 cited
  • 2015The distribution of crowding costs in public transport: New evidence from Paris92 cited
  • 2021Exploring the Behaviour Change of Crowding Impedance on Public Transit due to COVID-19 Pandemic: Before and After Comparison91 cited
  • 2016Reducing Subway Crowding: Analysis of an Off-Peak Discount Experiment in Hong Kong65 cited
  • 2019Demand management of congested public transport systems: a conceptual framework and application using smart card data63 cited
  • 2022Estimating on-board passenger comfort in public transport vehicles using incomplete automatic passenger counting data49 cited
  • 2017Temporary Incentives Change Daily Routines: Evidence from a Field Experiment on Singapore’s Subways49 cited
  • 2020Modelling heterogeneity in behavioral response to peak-avoidance policy utilizing naturalistic data of Beijing subway travelers29 cited
  • 2020Quantifying the ex-post causal impact of differential pricing on commuter trip scheduling in Hong Kong

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28 cited
  • 2020Fare incentive strategies for managing peak-hour congestion in urban rail transit networks26 cited
  • 2019Measuring Retiming Responses of Passengers to a Prepeak Discount Fare by Tracing Smart Card Data: A Practical Experiment in the Beijing Subway18 cited
  • Cited by

    • 2024Free interchange for better transit? Assessing the multi-dimensional impacts on metro to bus interchange behavior − insights from an explainable machine learning method11 cited
    • 2024Route Planning for Flexible Bus Services in Regional Cities and Rural Areas: Combining User Preferences with Spatial Analysis10 cited