Pampel, SM, Jamson, SL orcid.org/0000-0001-8166-0403, Hibberd, DL et al. (1 more author) (2018) Old habits die hard? The fragility of eco-driving mental models and why green driving behaviour is difficult to sustain. Transportation Research Part F: Traffic Psychology and Behaviour, 57. pp. 139-150. ISSN 1369-8478
Abstract
Tangible incentives, training and feedback systems have been shown to reduce drivers’ fuel consumption in several studies. However, the effects of such tools are often short-lived or dependent on continuous cues. Several studies found that many drivers already possess eco-driving mental models, and are able to activate them, for instance when an experimenter asks them to “drive fuel-efficiently”. However, it is unclear how sustainable mental models are. The aim of the current study was to investigate the resilience of drivers’ eco-driving mental models following engagement with a workload task, implemented as a simplified version of the Twenty Questions Task (TQT). Would drivers revert to ‘everyday’ driving behaviours following exposure to heightened workload? A driving simulator experiment was conducted whereby 15 participants first performed a baseline drive, and then in a second session were prompted to drive fuel-efficiently. In each drive, the participants drove with and without completing the TQT. The results of two-way ANOVAs and Wilcoxon signed-rank tests support that they drive more slowly and keep a more stable speed when asked to eco-drive. However, it appears that drivers fell back into ‘everyday’ habits over time, and after the workload task, but these effects cannot be clearly isolated from each other. Driving and the workload task possibly invoked unrelated thoughts, causing eco-driving mental models to be deactivated. Future research is needed to explore ways to activate existing knowledge and skills and to use reminders at regular intervals, so new driver behaviours can be proceduralised and automatised and thus changed sustainably.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, Elsevier Ltd. All rights reserved. This is an author produced version of a paper published in Transportation Research Part F: Traffic Psychology and Behaviour. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Mental models; Driving simulator; Eco driving; Workload; Driver behaviour; Automatisation |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Environment (Leeds) > Institute for Transport Studies (Leeds) > ITS: Spatial Modelling and Dynamics (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 Feb 2018 14:46 |
Last Modified: | 04 Feb 2019 01:40 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.trf.2018.01.005 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:127142 |