Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/25394
Title: Identification of the determinants of fare evasion
Authors: COOLS, Mario 
Fabbro, Yannick
BELLEMANS, Tom 
Issue Date: 2017
Publisher: ELSEVIER SCIENCE BV
Source: Case studies on transport policy (Print),,
Abstract: Fare evasion occurs when passengers gain access to public transport by interacting with fare controls in manners that are inconsistent with tariff. Given the considerable economic impact of fare evasion, this study aims at identifying the factors that explain fare evasion. To investigate the socio-demographic correlates and motivations of fare evasion, a stated preference survey was conducted in Flanders, the northern part of Belgium. In total, the survey collected valuable information of 636 respondents. The result of two logistic regression models, i.e. a model predicting personal fare evasion, and a model predicting acquaintances' fare evasion, indicate that only a very limited number of factors help in profiling the typical fare evader. In terms of socio-demographics, age and gender are uncontested predictors for fare evasion: younger travellers and male travellers have the highest likelihood to evade fares. For public transport operators this implies that marketing campaigns against fare evasion should be especially tailored to this subgroup for maximal impact. Besides socio-demographics, perceptions of ticket prices and perceptions with respect to the control probability are directly impacting evasion rates. To further unravel the motivations of fare evasion a shift towards a more psychological approach or the use of qualitative techniques seems promising.
Keywords: Fare evasion;Flanders;Price perception;Risk perception
Document URI: http://hdl.handle.net/1942/25394
ISSN: 2213-624X
e-ISSN: 2213-6258
DOI: 10.1016/j.cstp.2017.10.007
ISI #: 000441947400007
Rights: 2017 World Conference on Transport Research Society. Published by Elsevier Ltd. All rights reserved
Category: A1
Type: Journal Contribution
Validations: vabb 2019
Appears in Collections:Research publications

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