- Title
- Predicting the monitoring/reading of communications on a smartphone among young drivers using an extended theory of planned behaviour
- Creator
- Murphy, Georgia; Gauld, Cassandra; Lewis, Ioni
- Relation
- Accident Analysis and Prevention Vol. 136, no. 105403
- Publisher Link
- http://dx.doi.org/10.1016/j.aap.2019.105403
- Publisher
- Elsevier
- Resource Type
- journal article
- Date
- 2020
- Description
- Australian drivers aged 17 to 25 years are overrepresented in road crashes, with many crashes resulting from smartphone use. The current study, based on a prospective design and an extended TPB framework, predicted young drivers' intentions to, and actual behaviour of, monitoring/reading social interactive technology via a smartphone while driving. An online survey at Time 1 (N = 167) assessed the TPB constructs of attitude, subjective norm and perceived behaviour control (PBC), and the additional factors of habit, mindfulness and cognitive capture. A hierarchical multiple regression analysis showed that the TPB constructs accounted for 76.4% in the variance of young drivers' intentions. The extended model, which included habit, mindfulness and cognitive capture accounted for a significant 79% of the variance in intention, and these additional factors explained a significant amount of variance over and above the TPB constructs. The Time 2 survey (N = 95) assessed actual behaviour in relation to smartphone use in the one-week period between the Time 1 and 2 surveys. Results from a multiple regression analysis of Time 2 found that, as expected, intention was a significant predictor of the behaviour of monitoring/reading a smartphone while driving. The results support the TPB for predicting intention and actual behaviour in relation to monitoring/reading a smartphone while driving. The theoretical and practical implications of the current study are discussed as well as recommendations for future research.
- Subject
- theory of planned behavior; smartphone; young drivers; habit; mindfulness; cognitive capture; SDG 3; Sustainable Development Goals
- Identifier
- http://hdl.handle.net/1959.13/1419287
- Identifier
- uon:37438
- Identifier
- ISSN:0001-4575
- Rights
- © 2020. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/.
- Language
- eng
- Full Text
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