Finding service quality improvement opportunities across different typologies of public transit customers

Existing approaches dealing with customer perception data have two fundamental challenges: heterogeneity of customer perceptions and simultaneous interrelationships between attitudes that explain customer behaviour. This paper aims to provide practitioners with a methodology of service quality (SQ) evaluation based on public transit customers behavioural theory and advanced market segmentation that deals with these two fundamental challenges. The original contributions of this paper are: the definition of customer typologies based on advanced customer segmentation with latent class clustering; analysis of the effect of SQ perceptions on behavioural intentions within the behavioural theory framework that considers multiple attitudes simultaneously affecting customers’ intentions; identification of transit service improvement opportunities for specific customer typologies as well as common to most customers. The authors' research shows practitioners and researchers that specific needs and perceptions of customers can be identified by using advanced segmentation. The authors applied their method to a light-rail transit service in Seville, Spain. The authors measured the direct effects on behavioural intentions of the light rail transit (LRT) SQ, customer satisfaction and, in the case of some customers, the available transportation alternatives. Other observed that attitudes of customers were indirectly related to behavioural intentions as well. The authors found customer agreement around these LRT SQ aspects of tangible service equipment, accessibility, information, individual space and environmental pollution. Customers clearly showed different opinions related to safety, customer service and availability.

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    • © 2018 Hong Kong Society for Transportation Studies Limited. Abstract republished with permission of Taylor & Francis.
  • Authors:
    • Machado, Jose Luis
    • de Oña, Rocio
    • Diez-Mesa, Francisco
    • de Oña, Juan
  • Publication Date: 2018-10


  • English

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  • Accession Number: 01678592
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Aug 27 2018 2:02PM