Key factors affecting rail service quality in the Northern Italy: a decision tree approach

    Rocío De Oña Info
    Laura Eboli Info
    Gabriella Mazzulla Info
DOI: https://doi.org/10.3846/16484142.2014.898216

Abstract

This work concerns with the analysis of transit service quality on the basis of the perceptions directly expressed by the passengers of the services. The transit services supporting the research are offered by rail operators of the Northern Italy, and particularly by regional and suburban lines connecting different towns of the hinterland of the city of Milan, and express lines connecting Milan with the Malpensa airport. The experimental data were collected in a survey conducted in May 2012, and addressed to a sample of more than 16,000 passengers. Passengers expressed their opinions about service characteristics such as safety, cleanliness, comfort, information, personnel. The tool chosen for evaluating service quality is a Classification and Regression Tree Approach (CART), useful for identifying the characteristics mostly influencing the overall service quality. We found that service characteristics like ‘Windows and Doors Working’, ‘Courtesy and Competence on Board’, ‘Information at Stations’, ‘Punctuality of Runs’, ‘Courtesy and Competence in Station’ and ‘Regularity of Runs’ mainly influence service quality. 

First Published Online: 25 Mar 2014

Keywords:

railway transit services, service quality attributes, service quality analysis, passengers’ perceptions, CART methodology

How to Cite

De Oña, R., Eboli, L., & Mazzulla, G. (2014). Key factors affecting rail service quality in the Northern Italy: a decision tree approach. Transport, 29(1), 75–83. https://doi.org/10.3846/16484142.2014.898216

Share

Published in Issue
March 31, 2014
Abstract Views
1376

View article in other formats

CrossMark check

CrossMark logo

Published

2014-03-31

Issue

Section

Original Article

How to Cite

De Oña, R., Eboli, L., & Mazzulla, G. (2014). Key factors affecting rail service quality in the Northern Italy: a decision tree approach. Transport, 29(1), 75–83. https://doi.org/10.3846/16484142.2014.898216

Share