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What is behind fare evasion in urban bus systems? An econometric approach

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Cited by

2022The effect of dynamic lockdowns on public transport demand in times of COVID-19: Evidence from smartcard data46 cited
2018Inferring modes of transportation using mobile phone data45 cited
2018Why do people fare evade? A global shift in fare evasion research43 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 Systems

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36 cited

2016Decreasing fare evasion without fines? A microeconomic analysis33 cited

2021A hybrid discrete choice model to understand the effect of public policy on fare evasion discouragement in Bogotá's Bus Rapid Transit28 cited

2022Understanding transit ridership in an equity context through a comparison of statistical and machine learning algorithms27 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 data25 cited

2019On evasion behaviour in public transport: Dissatisfaction or contagion?21 cited

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

2022Fare evasion on public transport: Who, when, where and how?20 cited

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

2017SEGMENTING FARE EVADER GROUPS BY FACTOR AND CLUSTER ANALYSIS19 cited