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Does crowding affect the path choice of metro passengers?
7 references·16 citing·47 second hop
Does crowding affect the path choice of metro passengers? (2015)Does crowding affect the path choice of m…Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal (2011)Crowding and public transport…A topological route choice model for metro (2011)A topological route choice mo…Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience (2010)Twenty Years of Rail Crowding…Travel Time and Transfer Analysis Using Transit Smart Card Data (2010)Travel Time and Transfer Anal…Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground (2010)Assessing the cost of transfe…A study of crowding effects at the Hong Kong light rail transit stations (1999)A study of crowding effects a…DWELL TIME RELATIONSHIPS FOR LIGHT RAIL SYSTEMS (1992)DWELL TIME RELATIONSHIPS FOR …Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport (2023)Should I stay or should I boa…Understanding the route choice behaviour of metro-bikeshare users (2022)Understanding the route choic…Taking the path less travelled: Valuation of denied boarding in crowded public transport systems (2021)Taking the path less travelle…Personalized predictive public transport crowding information with automated data sources (2020)Personalized predictive publi…Modelling the effects of real-time crowding information in urban public transport systems (2020)Modelling the effects of real…Fare incentive strategies for managing peak-hour congestion in urban rail transit networks (2020)Fare incentive strategies for…Determinants of passengers' metro car choice revealed through automated data sources: a Stockholm case study (2020)Determinants of passengers' m…A Review of Big Data Applications in Urban Transit Systems (2020)A Review of Big Data Applicat…The underlying effect of public transport reliability on users’ satisfaction (2019)The underlying effect of publ…In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro (2019)In-vehicle crowding: Integrat…Data-Driven Metro Train Crowding Prediction Based on Real-Time Load Data (2019)Data-Driven Metro Train Crowd…Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations (2018)Trial-and-error train fare de…Public transport experienced service reliability: Integrating travel time and travel conditions (2018)Public transport experienced …Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing (2018)Modeling departure time choic…Learning the route choice behavior of subway passengers from AFC data (2017)Learning the route choice beh…Impact of real-time crowding information: a Stockholm metro pilot study (2016)Impact of real-time crowding …A probabilistic multipath traffic assignment model which obviates path enumeration (1971)On Stochastic Models of Traffic Assignment (1977)NETWORK KNOWLEDGE AND ROUTE CHOICE (2002)Mind the map! The impact of transit maps on path choice in public transit (2011)A utility-based travel impedance measure for public transit network accessibility (2016)Valuation of sitting and standing in metro trains using revealed preferences (2016)Pedestrian planning and design (1971)Optimal timetables for public transportation (2001)Discomfort in mass transit and its implication for scheduling and pricing (2014)Estimation of crowding discomfort in public transport: Results from Santiago de Chile (2017)The potential of public transport smart card data (2005)Detection of Activities of Public Transport Users by Analyzing Smart Card Data (2012)Examining the spatial–temporal dynamics of bus passenger travel behaviour using smart card data and the flow-comap (2014)An integrated Bayesian approach for passenger flow assignment in metro networks (2015)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1956)Discrete Choice Analysis: Theory and Application to Travel Demand. (1987)The magical number seven, plus or minus two: Some limits on our capacity for processing information. (1994)Bus Passenger Origin-Destination Estimation and Related Analyses Using Automated Data Collection Systems (2011)Pedestrian environment and route choice: evidence from New York City and Hong Kong (2012)Perceived accessibility, mobility, and connectivity of public transportation systems (2015)Public transport values of time (2004)A Review of Public Transport Economics (2020)Passenger comfort and trust on first-time use of a shared autonomous shuttle vehicle (2020)Advances in prospect theory: Cumulative representation of uncertainty (1992)The valuation of reliability for personal travel (2001)Risk Aversion and Incentive Effects (2002)Crowding cost estimation with large scale smart card and vehicle location data (2016)Crowding valuation in urban tram and bus transportation based on smart card data (2018)STATISTICAL DECISION THEORY: FOUNDATIONS, CONCEPTS, AND METHODS (1984)Passenger flow control with multi-station coordination in subway networks: algorithm development and real-world case study (2018)Data-driven model for passenger route choice in urban metro network (2019)Service quality––developing a service quality index in the provision of commercial bus contracts (2003)Public transit user satisfaction: Variability and policy implications (2008)Quality attributes of public transport that attract car users: A research review (2012)Public transport accessibility accounting for level of service and competition for urban opportunities: An equity analysis for education in Santiago de Chile (2020)Robustness and disturbances in public transport (2022)Sustainable development solutions of public transportation:An integrated IMF SWARA and Fuzzy Bonferroni operator (2023)The demand for public transport: The effects of fares, quality of service, income and car ownership (2006)Smart card data use in public transit: A literature review (2011)Mining smart card data for transit riders’ travel patterns (2013)Mining metro commuting mobility patterns using massive smart card data (2021)Review of Transit Data Sources: Potentials, Challenges and Complementarity (2021)AI-Driven Approach for Enhancing Sustainability in Urban Public Transportation (2024)ANALYZING TRANSIT TRAVEL TIME PERFORMANCE (1983)Estimation of Bus Dwell Times with Automatic Passenger Counter Information (2003)Bus dwell time: the effect of different fare collection systems, bus floor level and age of passengers (2011)Models of bus boarding and alighting dynamics (2014)
this work references cited by second hop

References

  • 2010Twenty Years of Rail Crowding Valuation Studies: Evidence and Lessons from British Experience292 cited
  • 2010Assessing the cost of transfer inconvenience in public transport systems: A case study of the London Underground285 cited
  • 2011Crowding and public transport: A review of willingness to pay evidence and its relevance in project appraisal218 cited
  • 1999A study of crowding effects at the Hong Kong light rail transit stations158 cited
  • 2010Travel Time and Transfer Analysis Using Transit Smart Card Data154 cited
  • 2011A topological route choice model for metro149 cited
  • 1992DWELL TIME RELATIONSHIPS FOR LIGHT RAIL SYSTEMS128 cited

Cited by

  • 2019The underlying effect of public transport reliability on users’ satisfaction124 cited
  • 2017Learning the route choice behavior of subway passengers from AFC data90 cited
  • 2020A Review of Big Data Applications in Urban Transit Systems79 cited
  • 2019Data-Driven Metro Train Crowding Prediction Based on Real-Time Load Data60 cited
  • 2018Public transport experienced service reliability: Integrating travel time and travel conditions57 cited
  • 2020Modelling the effects of real-time crowding information in urban public transport systems54 cited
  • 2016Impact of real-time crowding information: a Stockholm metro pilot study

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52 cited
  • 2018Modeling departure time choice of metro passengers with a smart corrected mixed logit model - A case study in Beijing52 cited
  • 2020Personalized predictive public transport crowding information with automated data sources45 cited
  • 2018Trial-and-error train fare design scheme for addressing boarding/alighting congestion at CBD stations37 cited
  • 2023Should I stay or should I board? Willingness to wait with real-time crowding information in urban public transport37 cited
  • 2021Taking the path less travelled: Valuation of denied boarding in crowded public transport systems36 cited
  • 2019In-vehicle crowding: Integrating tangible attributes, attitudes, and perceptions in a choice context between BRT and metro32 cited
  • 2022Understanding the route choice behaviour of metro-bikeshare users29 cited
  • 2020Fare incentive strategies for managing peak-hour congestion in urban rail transit networks26 cited
  • 2020Determinants of passengers' metro car choice revealed through automated data sources: a Stockholm case study24 cited