Modelling service-specific and global transit satisfaction under travel and user heterogeneity

Service provider administrators need to identify which perceived service quality (PSQ) elements are more relevant for users. By doing this, specific tactical and operational policies can be implemented to retain and attract new customers. In the public transport (PT) arena, few PSQ studies account for both service encounter and global satisfaction. Further, although some studies consider customer heterogeneity, the authors believe it has not been adequately captured. Regarding the problem of modelling PSQ from a PT service provider, the authors present a case study from Santiago, Chile. The authors analyse the PSQ derived from an extensive (n = 25,094) urban bus system satisfaction survey using structural equation models (SEM). Explicitly, the authors incorporate heterogeneity for both travel characteristics and sociodemographic attributes utilising a Multiple Indicator Multiple Cause (MIMIC) approach. The authors model two simultaneous regression equations regarding satisfaction with the bus-line (service encounter) being used and with the system (global), correcting for heterogeneity in all the satisfaction constructs via the SEM-MIMIC approach. The authors' main result is that the most critical variable for service encounter satisfaction is frequency/waiting time. For global satisfaction, the most significant attribute is tangibles/image, which includes satisfaction with the allied Metro service, with other users’ behaviour, and with information availability. As the perceived waiting time affects all satisfaction constructs negatively, the authors consider it a critical policy variable to tackle. The authors' model can serve as a planning tool for any PT administrator. The framework applies to any service setting with independent service-specific and global satisfaction attributes.


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  • Accession Number: 01673818
  • Record Type: Publication
  • Files: TRIS
  • Created Date: Jun 6 2018 3:43PM