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Cycle commuting intention: A model based on theory of planned behaviour and social identity
- Source :
- Transportation Research Part F: Traffic Psychology and Behaviour. 32:101-113
- Publication Year :
- 2015
- Publisher :
- Elsevier BV, 2015.
-
Abstract
- Although cycling as a mode of transport can provide various important benefits to cities and their transport systems, it accounts for only a small proportion of commuter trips in southern Europe. The aim of this study was to develop a new model based on Ajzen’s (1991) theory of planned behaviour (TPB), but including social identity as an additional predictor variable to improve the explanatory capability of the TPB. We conducted a telephone survey of a representative sample of 595 non-cycle commuters in the Spanish city of Vitoria-Gasteiz, which has a moderate proportion of bicycle users (6.9%). Confirmatory factor analysis to test the model showed satisfactory overall measurement fit, and all sub-scales had high reliability and validity coefficients. The findings demonstrated the value of incorporating social identity into the TPB to capture motivational factors relevant to cycle commuting. The relationships between the factors in the model indicated that there is a strong link between identifying as ‘a cyclist’ and perceived self-efficacy with respect to cycling. Furthermore, the results suggest that a more specific measure of perceived self-efficacy, targeting concrete behaviours could be used to inform development of initiatives to promote urban cycling. Our data also revealed that, excluding control variables such as journey time, economic cost and distance, the psychosocial variables included in the model predicted 32% of the variance in car users’ intention to start commuting by bicycle.
- Subjects :
- Engineering
business.industry
Theory of planned behavior
Poison control
Transportation
Variance (accounting)
Confirmatory factor analysis
Travel behavior
Economic cost
Automotive Engineering
Mode choice
business
Social identity theory
Social psychology
Applied Psychology
Civil and Structural Engineering
Subjects
Details
- ISSN :
- 13698478
- Volume :
- 32
- Database :
- OpenAIRE
- Journal :
- Transportation Research Part F: Traffic Psychology and Behaviour
- Accession number :
- edsair.doi...........5bd7283a7640e02ef4d217580fa9b93f