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     Research Journal of Mathematics and Statistics


A Discrete Choice Modeling of Service Quality Attributes in Public Transport

Isaac K. Baidoo and Eric Nyarko
Department of Statistics, University of Ghana, P.O. Box LG 115, Legon, Ghana
Research Journal of Mathematics and Statistics  2015  1:6-10
http://dx.doi.org/10.19026/rjms.7.5273  |  © The Author(s) 2015
Received: October 05, ‎2014  |  Accepted: November ‎3, ‎2014  |  Published: February 25, 2015

Abstract

This study employs a Discrete Choice Experiment (DCE) and Random Utility Theory (RUT) to measure service quality in public transport. This procedure with the binary Probit in STATA permits the identification of the choice alternatives defining the experiment by capturing the choices of a user sample. By using the data collected from an experimental survey, a Probit model was calibrated and segmented based on gender. This model is a way of identifying commuter’s attitude on the importance of bus service quality attributes on public transport, which provides an operationally appealing measure of current or potential service effectiveness. The magnitude of estimates generally indicates that commuters highly value bus stop facility, reliability and attitude of driver or mate. However, an increase in the walking distance to the bus stop and transport fare will result in a disutility of service quality attributes.

Keywords:

Discrete choice experiment, public transport, service quality, stated preference,


References


Competing interests

The authors have no competing interests.

Open Access Policy

This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Copyright

The authors have no competing interests.

ISSN (Online):  2040-7505
ISSN (Print):   2042-2024
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