Staying Grounded? Applying the Theory of Planned Behaviour to Explore Motivations to Reduce Air Travel
Air travel has been highlighted as a key environmental behavior contributing to climate change. Given this, there is a surprising lack of theory-based research aimed at identifying factors that underpin motivation to reduce the number of flights taken. This study explored whether an extended theory of planned behavior (TPB) model could be usefully applied to identify significant predictors of intentions to reduce the number of flights taken for leisure, holidays or to visit family or friends. Results supported the predictive utility of the TPB; the extended model was able to account for 52% of the variance in intentions over and above past behavior and socio-demographic variables. Attitudes, subjective norms and behavior-specific self-identity emerged as significant linear predictors. Findings support the utility of applying the TPB to air travel and suggest key variables which could be targeted in interventions to promote motivation to reduce the number of flights taken.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13698478
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Supplemental Notes:
- Abstract reprinted with permission of Elsevier.
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Authors:
- Morten, Alistair
- Gatersleben, Birgitta
- Jessop, Donna C
- Publication Date: 2018-5
Language
- English
Media Info
- Media Type: Web
- Features: References;
- Pagination: pp 297-305
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Serial:
- Transportation Research Part F: Traffic Psychology and Behaviour
- Volume: 55
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1369-8478
- Serial URL: http://www.sciencedirect.com/science/journal/13698478
Subject/Index Terms
- TRT Terms: Air transportation; Air travel; Environmental impacts; Mathematical models; Motivation; Social factors; Travel behavior
- Identifier Terms: Theory of Planned Behavior
- Subject Areas: Aviation; Environment; Safety and Human Factors;
Filing Info
- Accession Number: 01670019
- Record Type: Publication
- Files: TRIS
- Created Date: May 22 2018 5:22PM