2014
DOI: 10.1007/s12469-014-0099-7
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Service quality assessment of public transport and the implication role of demographic characteristics

Abstract: PurposeThis paper first proposes scales to evaluate customers' perceived service quality in public transport then identify the demographic characteristics factors that may influence customer perceived service quality and as well as to identify any customers' perceptions differences between the subcategories. Design/methodology/approachManager interview and random sampling method were used to survey 288 consumers of buses public transport. Exploratory and confirmatory factor analyses were used to confirm the sc… Show more

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Cited by 57 publications
(31 citation statements)
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“…Quality of service assessments are present across all of the traditional modes of public transport including bus (Eboli and Mazzulla, 2007;Stradling et al 2007;Yaya et al 2014;Mahmoud and Hine, 2016;Morton et al 2016;Grisé and El-Geneidy, 2017), rail (Nathanail, 2008;Chou et al 2014;Eboli and Mazzulla, 2015;Yanik et al 2017), and airline (Fick and Ritchie, 1991;Ostrowski et al 1993;Pakdil and Aydin, 2007) operations. A comprehensive review of the literature in this area is offered by Lierop et al (2017), who investigated the dimensions that have commonly been found to effect the level of satisfaction experienced by public transport passengers and the intention to continue using the service.…”
Section: Transport Sector Quality Of Service Applicationsmentioning
confidence: 99%
“…Quality of service assessments are present across all of the traditional modes of public transport including bus (Eboli and Mazzulla, 2007;Stradling et al 2007;Yaya et al 2014;Mahmoud and Hine, 2016;Morton et al 2016;Grisé and El-Geneidy, 2017), rail (Nathanail, 2008;Chou et al 2014;Eboli and Mazzulla, 2015;Yanik et al 2017), and airline (Fick and Ritchie, 1991;Ostrowski et al 1993;Pakdil and Aydin, 2007) operations. A comprehensive review of the literature in this area is offered by Lierop et al (2017), who investigated the dimensions that have commonly been found to effect the level of satisfaction experienced by public transport passengers and the intention to continue using the service.…”
Section: Transport Sector Quality Of Service Applicationsmentioning
confidence: 99%
“…This measure is based on qualitative-based scales, either numerical or Likert-based [10,[31][32][33]. As a consequence, most statistical methods used in the subsequent data analysis to model user satisfaction are: (1) those methods which relate an ordinal scale to a continuous variable, including regression analysis [15,34], structural equation systems [35][36][37] and factorial analysis [38,39]; and (2) methods dealing with satisfaction or perception as a discrete variable, such as logit models [40,41] and ordered logit and probit models [8,19,42,43].…”
Section: Methods To Measure Factors Influencing Perceived Service Quamentioning
confidence: 99%
“…Together, attribute-performance and attribute-importance help transit managers visualize a global scenario for passengers' customer evaluation (Wang, Feng and Hsieh, 2010), thus, providing useful information to de#ine more effective goals and more pro#itable and assertive investments (Mouwen, 2015). Additionally, once users' needs and preferences are heterogeneous, it is necessary to understand the variety of behaviors to create more adaptable strategies (Yaya et al, 2015;de Oña et al, 2016).…”
Section: Highlights Of Customer Satisfaction Theorymentioning
confidence: 99%