Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches

Качество услуг в общественном транспорте на основе опросов удовлетворённости клиентов: обзор и оценка методологических подходов
Rocío de Oña, Juan de Oña
2014-12-08

attributes of service qualitycustomer satisfaction surveysmethodological approaches for SQ evaluationquality of service in public transportservice quality (SQ)
The growth of literature in the field of quality of service in the public transport (PT) sector shows increasing concern for a better understanding of the factors affecting service quality (SQ) in PT organizations and companies. A large variety of approaches to SQ have been developed in recent years owing to the complexity of the concept; the broad range of attributes required to evaluate SQ; and the imprecision, subjectivity, and heterogeneous nature of the data used to analyze it. Most of these approaches are based on customer satisfaction surveys. This paper seeks to summarize the evolution of research and current thinking as it relates to the different methodological approaches for SQ evaluation in the PT sector over the years and to provide a discussion of future directions.
1
A large variety of methodological approaches to SQ evaluation has been developed due to SQ complexity and diverse required attributes.
2
Challenges for SQ assessment include imprecision, subjectivity, and heterogeneity of data used in analyses.
3
Customer satisfaction surveys are the predominant data source and basis for most SQ evaluation approaches in public transport.
4
Research on public transport service quality (SQ) has grown, focusing on factors affecting SQ in PT organizations and companies.
5
The paper summarizes the evolution of research on SQ methodologies in PT and discusses future research directions.

Service quality in the public transport (PT) sector as assessed via customer satisfaction surveys

Methodological approaches for evaluating service quality in public transport using customer satisfaction survey data, including their evolution, strengths, limitations, and recommendations for future directions

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2014-12-08
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Rocío de Oña
Juan de Oña
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