Universidad de Granada Digibug
 

Repositorio Institucional de la Universidad de Granada >
1.-Investigación >
Departamentos, Grupos de Investigación e Institutos >
Grupo: Transporte y Seguridad (TEP246) >
TEP246 - Artículos >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/24394

Title: A classification tree approach to identify key factors of transit service quality
Authors: Oña, Juan de
Oña, Rocío de
Calvo, Francisco J.
Issue Date: 2012
Abstract: A key aspect to take into consideration when developing indices to evaluate transit service quality is to determine how much weight passengers give to each attribute when making a global assessment of service quality (SQ). The simplest method of a direct question in customer satisfaction survey (CSS) poses a number of problems, and therefore statistical regression methods have been developed to infer attribute importance on the basis of CSS or stated preference surveys. However, most regression models have their own model assumptions and pre-defined underlying relationships between dependant and independent variables. If these assumptions are violated, the model could lead to erroneous estimations. This paper proposes using a classification and regression tree (CART) that does not require any pre-defined underlying relationship between dependent and independents variables, to identify the key factors affecting bus transit quality of service. The paper uses the data gathered in a CSS conducted on the Granada metropolitan transit system in 2007, which was a non-research oriented survey. Two CART models were developed to compare the key attributes identified before and after making passengers reflect on the main aspects of the system. The outcomes show that, in a preliminary evaluation, passenger perception of SQ is basically influenced by frequency. After being asked to evaluate all the attributes, however, other attributes (e.g. proximity, speed and safety) become more important than frequency.
Sponsorship: Consejería de Innovación, Ciencia y Economía of the Junta de Andalucía (Spain) through the Excellence Research Project denominated ‘‘Q-METROBUS-Quality of service indicator for METROpolitan public BUS transport services’’.
Publisher: Elsevier
Keywords: Service quality
Bus transit
Data mining
Classification and regression trees (CART)
CART
Non-parametric techniques
URI: http://hdl.handle.net/10481/24394
ISSN: 0957-4174
Citation: de Oña, J.; de Oña, R.; Calvo, F.J. A classification tree approach to identify key factors of transit service quality. Expert Systems with Applications, 39 (12): 11164–11171 (2012). [http://hdl.handle.net/10481/24394]
Appears in Collections:TEP246 - Artículos

Files in This Item:

File Description SizeFormat
2012 ESWA.pdf541.39 kBAdobe PDFView/Open
Recommend this item

This item is licensed under a Creative Commons License
Creative Commons

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.

 

Valid XHTML 1.0! OpenAire compliant DSpace Software Copyright © 2002-2007 MIT and Hewlett-Packard - Feedback

© Universidad de Granada