2016
DOI: 10.1016/j.retrec.2016.06.001
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Decreasing fare evasion without fines? A microeconomic analysis

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Cited by 24 publications
(5 citation statements)
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“…Guarda et al [3] found that evasion rates increase with increases in (i) the number of users boarding or alighting at a given bus door, (ii) the number of users boarding through a rear door, (iii) occupancy levels, and (iv) headways. In Guarda et al [7], the authors concluded that evasion rates are lower at bus stops near intermodal and Metro stations and those located in higher income areas. Finally, using official data on evasion, Troncoso and de Grange [18] showed that the evasion rate rises two percentage points with a 10% increase in fares but falls 0.8 percentage points with a 10% increase in ticket inspections.…”
Section: Literature Surveymentioning
confidence: 98%
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“…Guarda et al [3] found that evasion rates increase with increases in (i) the number of users boarding or alighting at a given bus door, (ii) the number of users boarding through a rear door, (iii) occupancy levels, and (iv) headways. In Guarda et al [7], the authors concluded that evasion rates are lower at bus stops near intermodal and Metro stations and those located in higher income areas. Finally, using official data on evasion, Troncoso and de Grange [18] showed that the evasion rate rises two percentage points with a 10% increase in fares but falls 0.8 percentage points with a 10% increase in ticket inspections.…”
Section: Literature Surveymentioning
confidence: 98%
“…Most published research has focused on explaining public transport fare evasion in terms of the existing infrastructure and other physical conditions (operating factors, vehicle characteristics, use of ticket barriers, etc.) and determining the best measures for reducing the evasion rate [3,7,[13][14][15][16][17][18][19].…”
Section: Literature Surveymentioning
confidence: 99%
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“…If fare evasion can be cost-effectively reduced, whatever the ruling fare policy, then the sustainable funding challenge is made somewhat easier. Guarda et al (2015) identified a number of factors that help to explain the level of fare evasion on Santiago public transport. The explanatory variables that were found to be statistically significant included the level of inspection, the proximity to a metro or intermodal station, the level of bus occupancy, period of the day, geographical location and the number of passengers boarding and alighting at a bus stop.…”
Section: Fare Policy and Fare Evasionmentioning
confidence: 99%
“…More recently, a series of studies have examined the impacts of reducing the amount of physical control over ticketing, examining the trade-off between the potential costs (revenue lost from fare evasion, increased salaries for ticket inspections) and benefits (speed and reliability improvements, reduced stop dwell time, increased ridership, lower vehicle operational and purchase costs) [16,17] as well fare evader behaviour [18,19]. Theoretical modelling to address fare evasion and ticket forgery is quite popular, usually using econometric approaches or game-theory [20][21][22], however these studies often focus on mathematically estimating the optimal inspection rate or patrol location to reduce fare evasion or maximise profit [23][24][25].…”
Section: Introductionmentioning
confidence: 99%