Abstract
Fare evasion is often encountered in public transport and results in severe revenue loss for operators. Using data from the Athens Metro system, this paper attempts to capture the extent of fare evasion, analyze its causes and identify attributes of passengers who practice fare evasion. Perceived effectiveness of measures that can restrict its practice is also explored. The analysis is based on data collected as part of a personal interview survey of Athens metro users. Ordinal logistic models are developed and used to analyze the factors that affect fare evasion. Socio-demographic and travel characteristics, perception on fare levels, the quality of service, as well as personal attributes of respondents and psychological constructs are used as explanatory variables. Model outcomes reveal that gender, age, travel purpose, trip duration, finances and personal beliefs affect fare evasion. Findings may provide useful insights to policy makers and help towards applying effective strategies and target marketing policies to specific groups of travelers to mitigate fare evasion in metro systems.
Published Version
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