The relationship between norms, satisfaction and public transport use: A comparison across six European cities using structural equation modelling

Jesper Bláfoss Ingvardson, Otto Anker Nielsen, 2019, in Transportation Research Part A

doi:10.1016/j.tra.2019.05.016
Location Stockholm, Oslo, Helsinki, Copenhagen, Vienna and Geneva, Europe
Population General
Sample size 38537
Factor analysis type principal components, varimax rotation
Stepwise regression no
Removal of insignificant variables no
Reviewed by SH

Abstract

Understanding the motivators of travel satisfaction is essential for designing attractive public transport systems. This study investigates the key drivers of satisfaction with public transport and their relationship with travel frequency and willingness to recommend public transport to others, hence contributing specifically by analysing the influence of social norms in travel use. A large-scale passenger satisfaction survey collected in six European cities and structural equation modelling validates the framework across different travel cultures. The study found that travel satisfaction is positively related to (i) accessibility measures, e.g. extent of network coverage, travel speed and service frequency, (ii) perceived costs, e.g. reasonable ticket prices, and (iii) norms, i.e. perceived societal and environmental importance of public transport. These findings were consistent across all six cities and across different user types based on use frequency of public transport and private car. Specifically, the willingness to recommend public transport to others was significantly related to public transport use at a similar level as overall satisfaction. Finally, the study found significant differences in satisfaction across respondents’ socio-economic characteristics as young respondents and students were less satisfied with service quality than middle-aged and elderly respondents despite more frequent use. This suggests structural problems in public transport because travel habits formed in early life shape travel behaviour throughout life. Hence, it is important to address the needs of these user groups to ensure public transport ridership in the future. The results bear important policy implications for planners in not only focusing on traditional measures for optimising operations, but also branding public transport as an environmentally and socially important transport mode in metropolitan areas. © 2019 Elsevier Ltd

Factors

Models

Source variable Target variable Effect p-value Effect type
Accessibility Satisfaction 0.58 0.0 direct_effect
Norms Satisfaction 0.1 0.0 direct_effect
Costs Satisfaction 0.2 0.0 direct_effect
Accessibility Recommendation to others 0.11 0.0 direct_effect
Norms Recommendation to others 0.34 0.0 direct_effect
Costs Recommendation to others 0.15 0.0 direct_effect
Satisfaction Recommendation to others 0.32 0.0 direct_effect
Satisfaction Public transport use 0.11 0.0 direct_effect
Recommendation to others Public transport use 0.21 0.0 direct_effect
Source variable Target variable Effect p-value Effect type
Accessibility Public transport use 0.28 0.0 direct_effect
Information Public transport use 0.07 0.0 direct_effect
Staff behaviour Public transport use 0.06 0.0 direct_effect
Safety and security Public transport use 0.14 0.0 direct_effect
Comfort Public transport use 0.07 0.0 direct_effect
Norms Public transport use 0.27 0.0 direct_effect
Costs Public transport use 0.2 0.0 direct_effect
Satisfaction Accessibility 0.56 0.0 direct_effect
Satisfaction Comfort 0.03 0.008 direct_effect
Satisfaction Norms 0.09 0.0 direct_effect
Satisfaction Costs 0.2 0.0 direct_effect
Recommendation to others Accessibility 0.1 0.0 direct_effect
Recommendation to others Norms 0.34 0.0 direct_effect
Recommendation to others Costs 0.15 0.0 direct_effect
Recommendation to others Satisfaction 0.33 0.0 direct_effect

The Attitudes and Travel Database is produced with support from the Center for Teaching Old Models New Tricks at Arizona State University, a University Transportation Center sponsored by the US Department of Transportation through Grant No. 69A3551747116.

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