Passenger satisfaction: a multi-group analysis

Passenger satisfaction: a multi-group analysis To analyse the level of passenger satisfaction of a public local transport service, after an explorative factorial analysis, a Structural Equation Model was adopted. The main goal of this paper is to verify how much some service characteristics could influence the perceived quality of the service. The passengers are found very sensitive to the level of the service organization and to the way the service is delivered (punctuality and regularity, and short waiting time). The safety and reliability of buses, the level of comfort and cleanness and the professionalism and courtesy of staff had, also, a big weight to determinate of the customer satisfaction. Applying a further analysis on different sub-samples, based on individual characteristics, we found that the model above identified is full invariant for different residence area and frequency of use of the service, and partially invariant for age groups, employment status, time slot of use and reason of use. The test of invariance the structural coefficients failed considering gender or education level of the passengers. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Quality & Quantity Springer Journals

Passenger satisfaction: a multi-group analysis

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Publisher
Springer Journals
Copyright
Copyright © 2012 by Springer Science+Business Media B.V.
Subject
Social Sciences, general; Methodology of the Social Sciences; Social Sciences, general
ISSN
0033-5177
eISSN
1573-7845
D.O.I.
10.1007/s11135-012-9771-7
Publisher site
See Article on Publisher Site

Abstract

To analyse the level of passenger satisfaction of a public local transport service, after an explorative factorial analysis, a Structural Equation Model was adopted. The main goal of this paper is to verify how much some service characteristics could influence the perceived quality of the service. The passengers are found very sensitive to the level of the service organization and to the way the service is delivered (punctuality and regularity, and short waiting time). The safety and reliability of buses, the level of comfort and cleanness and the professionalism and courtesy of staff had, also, a big weight to determinate of the customer satisfaction. Applying a further analysis on different sub-samples, based on individual characteristics, we found that the model above identified is full invariant for different residence area and frequency of use of the service, and partially invariant for age groups, employment status, time slot of use and reason of use. The test of invariance the structural coefficients failed considering gender or education level of the passengers.

Journal

Quality & QuantitySpringer Journals

Published: Sep 8, 2012

References

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