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Optimal choices of fare collection systems for public transportations: Barrier versus barrier-free
9 references·16 citing·42 second hop
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(2023)Fare evasion in public transp…Evaluating fare evasion risk in bus transit networks (2023)Evaluating fare evasion risk …Segmenting fare-evaders by tandem clustering and logistic regression models (2022)Segmenting fare-evaders by ta…Seamless public transport ticket inspection: Exploring users’ reaction to next-generation ticket inspection (2022)Seamless public transport tic…A risk-based game theory model of navy and pirate behaviors (2022)A risk-based game theory mode…Understanding Transantiago Users’ Motivations for Paying or Evading Payment of Bus Fares (2021)Understanding Transantiago Us…Assessing the Intention to Evade Fares for Demographic Segments of Passengers: Empirical Research in Italy for Building Smart(er) Cities (2021)Assessing the Intention to Ev…A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit (2021)A hybrid discrete choice mode…Do students, workers, and unemployed passengers respond differently to the intention to evade fares? 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this work references cited by second hop

References

  • 2001Toward a Comparative Institutional Analysis1,480 cited
  • 2002Toward a Comparative Institutional Analysis1,200 cited
  • 2016Epistemic Conditions for Nash Equilibrium635 cited
  • 1995Epistemic Conditions for Nash Equilibrium605 cited
  • 1979The Optimal Tradeoff between the Probability and Magnitude of Fines318 cited
  • 2011Bus congestion, optimal infrastructure investment and the choice of a fare collection system in dedicated bus corridors115 cited
  • 2012TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems Using Game Theory106 cited
  • 2012TRUSTS: Scheduling Randomized Patrols for Fare Inspection in Transit Systems100 cited
  • 2011Measuring and Controlling Subway Fare Evasion72 cited

Cited by

  • 2019Empirical Study on the Accuracy and Precision of Automatic Passenger Counting in European Bus Services34 cited
  • 2022A risk-based game theory model of navy and pirate behaviors29 cited
  • 2021A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit28 cited
  • 2023Evaluating fare evasion risk in bus transit networks27 cited
  • 2018Server-Based Intelligent Public Transportation System with NFC25 cited

Only edges whose both ends are imported exist here. Widen the year window, or show the whole map. Back to the work

  • 2017SEGMENTING FARE EVADER GROUPS BY FACTOR AND CLUSTER ANALYSIS19 cited
  • 2018Fare Evasion and Ticket Forgery in Public Transport: Insights from Germany, Austria and Switzerland17 cited
  • 2020Do students, workers, and unemployed passengers respond differently to the intention to evade fares? An empirical research14 cited
  • 2021Understanding Transantiago Users’ Motivations for Paying or Evading Payment of Bus Fares13 cited
  • 2022Segmenting fare-evaders by tandem clustering and logistic regression models13 cited
  • 2023Fare evasion in public transport: How does it affect the optimal design and pricing?11 cited
  • 2023Fare inspection patrolling under in-station selective inspection policy11 cited
  • 2022Seamless public transport ticket inspection: Exploring users’ reaction to next-generation ticket inspection9 cited
  • 2021Assessing the Intention to Evade Fares for Demographic Segments of Passengers: Empirical Research in Italy for Building Smart(er) Cities9 cited
  • 2024Toward real-time deterrence against fare evasion risk in public transport6 cited
  • 2025Accuracy of Automatic Passenger Counting in Open Mass Transit Systems: Insights from Italy3 cited