The impact of numerical vs. symbolic eco-driving feedback on fuel consumption – A randomized control field trial
Journal
Transportation Research Part D: Transport and Environment
ISSN
1361-9209
ISSN-Digital
1879-2340
Type
journal article
Date Issued
2018-12
Author(s)
;
Tiefenbeck, Verena
;
Ryder, Benjamin
;
;
;
Abstract (De)
Despite the fact that more and more car dashboards are being equipped with powerful, high-resolution displays, allowing for radically new ways to design driving feedback, the question of what impact different design types and features have on real-world eco-driving remains largely unclear. To address this research gap, we conducted a randomized control field trial in Switzerland with 62 road assistance drivers over a period of 10 weeks, covering over 245,000 km. We evaluate the effect of eco-driving feedback on fuel consumption for two types of feedback: numerical feedback (which uses numbers and gauges to present numerical values) and symbolic feedback (which translates numerical values into symbolic representations). Both, numeric and symbolic eco-driving feedback were tested against a control group. Data analyses are performed on the level of 265,939 dynamic road segments with constant road characteristics to account for the significant effect of road attributes on fuel consumption. Results of a fixed-effects regression models reveal that only the symbolic feedback design led to significant reductions of 2–3% in fuel consumption. The effect is robust across different model specifications that control for the influence of road attributes and other covariates. We conclude that the design of eco-driving feedback can have a significant impact on its effectiveness for promoting a less fuel-consuming driving style. We conjecture that there is a large untapped potential for manufacturers to use modern digitalized dashboards that can improve the impact of driver feedback systems.
Funding(s)
Language
English
HSG Classification
contribution to scientific community
Refereed
Yes
Publisher
Elsevier Science
Volume
65
Start page
375
End page
386
Pages
11
Subject(s)
Eprints ID
255388
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Name
dahlinger et al 2018 TRD correction.pdf
Size
728.89 KB
Format
Adobe PDF
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