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The Impact of Service Quality and Customer Satisfaction on Reuse Intention in Urban Rail Transit in Tianjin, China

16 references·16 citing·37 second hopsampled

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References

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1988SERVQUAL: A multiple-Item Scale for measuring consumer perceptions of service quality21,113 cited
1989Structural Equations with Latent Variables17,500 cited
1980A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions14,475 cited
1993The Antecedents and Consequences of Customer Satisfaction for Firms4,607 cited
1994DEFINING QUALITY: ALTERNATIVES AND IMPLICATIONS1,209 cited
2010A methodology for evaluating transit service quality based on subjective and objective measures from the passenger’s point of view429 cited
2014Quality of Service in Public Transport Based on Customer Satisfaction Surveys: A Review and Assessment of Methodological Approaches381 cited
2010Modelling user perception of bus transit quality340 cited
2007Meta-analysis of public transport demand284 cited
2015Passenger satisfaction evaluation model for Urban rail transit: A structural equation modeling based on partial least squares280 cited
2016Enjoying loyalty: The relationship between service quality, customer satisfaction, and behavioral intentions in public transit274 cited
2016Transit passengers’ behavioural intentions: the influence of service quality and customer satisfaction191 cited
2014

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Relationships between rail passengers’ satisfaction and service quality: a framework for identifying key service factors

165 cited

2012Structural Equation Modelling for Analysing Passengers’ Perceptions about Railway Services158 cited

2019The role of critical incidents and involvement in transit satisfaction and loyalty154 cited

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2023Switching intention, WOM and quality of public transport services: A case of the Kuala Lumpur conurbation27 cited
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2020The Interrelationship Between Perceived Quality, Perceived Value and User Satisfaction Towards Behavioral Intention in Public Transportation: A Review of the Evidence25 cited
2022Understanding the determinants for predicting citizens’ travel mode change from private cars to public transport in China25 cited
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