Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users

Oña, Juan de

doi:10.1007/s11116-021-10175-7

Cited by 29 publications

(15 citation statements)

References 61 publications

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“…Both genders were more likely to quit using the bus where they perceived it as a lower status and a less convenient mode. This is understandable: inconvenience is a known factor that makes public transport unattractive (de Oña, 2021 ).…”

Section: Findings and Discussionmentioning

confidence: 99%

Why are Hanoi students giving up on bus ridership?

Nguyen

Pojani

2022

Transportation

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University students are regarded as a readily available market segment for public transport. In Hanoi, as elsewhere, they constitute a large portion of bus passengers. However, one portion has been quitting buses, and the reasons were so far unknown. Nor was it clear whether they planned on retuning. Through a survey of more than 800 students in seven higher education institutions, this study aimed to find the answers to these questions. The study revealed that bus ridership was determined by socio-demographic variables (year of studies, household income, employment status, motorcycle ownership), environmental variables (home-university distance), and psychological variables (convenience, bus staff behaviour, risk of sexual harassment, reliability and health, image and status). A negative disruptor such as the fear of Covid-19 infection had little effect on the decision to continue riding buses. Meanwhile, the prospect of riding ‘clean and green’ electric buses, which were introduced in a pilot program, was a positive disruptor that may lead a portion of students to return to public transport.

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Section: Findings and Discussionmentioning

confidence: 99%

Why are Hanoi students giving up on bus ridership?

Nguyen

Pojani

2022

Transportation

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“…MI is evaluated through a series of equality constraints applied to the measurement model that assesses whether a metric score has the same meaning across different data collection and respondent conditions ( de Oña, 2022 ). Put it another way, if the GOF of the measurement model is significantly reduced by intensifying MI restrictions, the MI is not held, and the variable should be tested for structural invariance.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…In order to warrant the use of SEM-MGA, the SI must be tested once the MI has been examined. While Kline (2015) suggested the SI should be investigated after strict invariance is no longer held, Kos Koklic et al, 2017 , de Oña, 2022 used weak invariance for this purpose. In this study, the method proposed by Allen et al (2019a) was used to test SI, which generated a structural model in two ways: firstly, where all parameters are estimated freely across groups, and secondly, where all parameters including structural weights, intercepts, and residuals are constrained to be equal across groups.…”

Section: Data Analysis Methodsmentioning

confidence: 99%

“…Using Structural Equation Modelling (SEM), the current study examines dependence and correlation between latent constructs, with particular attention to the effect of observed heterogeneity on the findings. In recent years, researchers have become more interested in the impact of heterogeneity on SEM, using Multiple Indicators Multiple Causes (MIMIC) models to explain heterogeneity in perceptions of latent constructs ( Allen et al, 2020 , Allen et al, 2019b , Allen et al, 2018 , de Oña, 2020 , de Oña, 2022 , Guirao et al, 2016 ), and Multi-Group Analysis (MGA) to explain differences in measurement and structural paths ( Allen et al, 2019a , Allen et al, 2019b , de Oña, 2022 ). Taking into account heterogeneity is crucial to achieving robust results in research on public transport ( de Oña, 2020 ), whose users usually possess a wide range of demographic, socio-economic, and travel pattern characteristics.…”

Section: Introductionmentioning

confidence: 99%

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Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty

Esmailpour

Aghabayk

Aghajanzadeh

et al. 2022

Transportation Research Part A: Policy and Practice

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“…The number of passengers also depends on the high accessibility, high-quality services, and intention to use. Previous studies [12][13][14][15] show that on normal days 35% of passengers use public transport, while 75% are automobile users. Sustainability in Malaysian cities is only possible through greater use of public transport and regulation of automobile ridership.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Factors Affecting Pro-Environment Behavior for City Rail Transport Usage: Territories’ Empirical Evidence—Malaysia

2021

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The emerging population has increased travel demand and improved public transport mode in cities to connect the people. (1) Background: This study used the Theory of Planned Behavior (TPB) to assess the usage behavior for city rail transport with the factors attitude, subjective norm, and perceived behavioral control and its impact on pro-behavioral intentions to increase the actual usage of rail transports, i.e., LRT, MRT, and KTM commuter. (2) Method/Approach: To understand the antecedents of pro-environment behavioral intention, this study performed pilot testing, for which we collected the data through closed-ended questionnaires to test the instrument’s reliability, specifically from the Klang Valley in Malaysia. (3) Findings/Results: This study revealed that the public attitude due to environmental concern and subjective norms and perceived behavioral control are the strongest predictors for public transport usage through behavioral intention. The study estimated that most respondents would have agreed to choose public transport mode if quality of services increased. (4) Conclusion: In future research, the goal of this study could be extended as a strategic indicator for sustainable development through efficient mobility choice in Malaysia. The TPB model helps to present the factors involved in growing and retaining clients for rail transport. In terms of implications for policy, this study also provides policymakers with valuable information to maintain the current public transport passengers and attract new users through the perceived service quality and customer satisfaction of public transport.

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Service quality, satisfaction and behavioral intentions towards public transport from the point of view of private vehicle users

Cited by 29 publications

References 61 publications

Why are Hanoi students giving up on bus ridership?

Why are Hanoi students giving up on bus ridership?

Has COVID-19 changed our loyalty towards public transport? Understanding the moderating role of the pandemic in the relationship between service quality, customer satisfaction and loyalty

Understanding the Factors Affecting Pro-Environment Behavior for City Rail Transport Usage: Territories’ Empirical Evidence—Malaysia

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