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Activity Number: 530 - SPEED: Survey Research Methods
Type: Contributed
Date/Time: Wednesday, August 2, 2017 : 10:30 AM to 11:15 AM
Sponsor: Survey Research Methods Section
Abstract #325243
Title: Randomized Multi-Stage Stratified Cluster Sampling Methodology to Estimate Public Transit Fare Compliance
Author(s): Lori Rothenburg and A Blanton Godfrey and Brian Hanninen*
Companies: North Carolina State University and North Carolina State University and Evaluation Café
Keywords: Estimation ; Compliance ; Sampling ; Cluster sampling ; Stratified cluster sampling ; Transit
Abstract:

There is no standard method for estimating fare evasion and fare compliance in North American transit agencies. Most transit agencies report on fare evasion as discovered by fare enforcement officials. Fewer transit agencies report on randomized sampling of transit users to estimate fare evasion and fare compliance. Reporting of the methodologies and results of the various sampling techniques are not shared widely. This paper examines the attempt of a North American transit agency to estimate fare evasion and fare compliance rates using a multi-stage stratified cluster random sampling methodology of its light rail transit lines. A baseline estimate was performed in 2014. Sampling was conducted again in 2016. This paper reports on the results of the sampling methodology and provides recommendations for implementing statistically sound fare evasion sampling in transit agencies. The substantive results of the study varied depending on the type of ticket/pass, time of day, rail line, zone, location and direction of travel.


Authors who are presenting talks have a * after their name.

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