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A modified model to curb fare evasion and enforce compliance: Empirical evidence and implications

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References

1983Crime and justice: An annual review of research2,149 cited
1990Police Crackdowns: Initial and Residual Deterrence504 cited
1999Criminal deterrence and sentence severity : an analysis of recent research341 cited
1979The Optimal Tradeoff between the Probability and Magnitude of Fines318 cited

Cited by

2014An Offline Framework for Handling Automatic Passenger Counting Raw Data41 cited
2015What are the determinants in making people free riders in proof-of-payment transit systems? Evidence from Italy41 cited
2017Fare evasion in public transport: A time series approach40 cited
2016Cluster analysis of fare evasion behaviours in Melbourne, Australia40 cited
2019Moving Towards a More Accurate Level of Inspection Against Fare Evasion in Proof-of-Payment Transit Systems36 cited
2017Identification of the determinants of fare evasion34 cited
2016Rethinking Transit Time Reliability by Integrating Automated Vehicle Location Data, Passenger Patterns, and Web Tools31 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
2020Can we estimate accurately fare evasion without a survey? Results from a data comparison approach in Lyon using fare collection data, fare inspection data and counting data

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25 cited

2019Fare Evasion in Public Transport: Grouping Transantiago Users’ Behavior21 cited

2020Temporal analysis of fare evasion in Transantiago: A socio-political view19 cited

2017SEGMENTING FARE EVADER GROUPS BY FACTOR AND CLUSTER ANALYSIS19 cited

2020Who are more likely to break the rule of congestion charging? Evidence from an active scheme with no referendum voting18 cited

2018Fare Evasion and Ticket Forgery in Public Transport: Insights from Germany, Austria and Switzerland17 cited

2024Fare inspection in proof-of-payment transit networks: A review16 cited