A comparison of motivational and informational contexts for improving eco-driving performance |
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| Institution: | 1. Kate Gleason College of Engineering, Rochester Institute of Technology, One Lomb Memorial Dr., Rochester, NY 14623-5608, United States;2. Golisano Institute for Sustainability, Rochester Institute of Technology, 190 Lomb Memorial Dr., Rochester, NY 14623-5608, United States;1. School of Transportation, Southeast University, No. 2 Sipailou, Nanjing 210096, China;2. Department of Economics, University of Massachusetts Amherst, Thompson Hall, 200 Hicks Way, MA 01003, USA;1. BIOMATH, Department of Mathematical Modelling, Statistics and Bioinformatics, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium;2. LIWET, Department of Industrial Biological Sciences, Ghent University, Graaf Karel de Goedelaan 5, 8500 Kortrijk, Belgium;3. Laboratory of Bioengineering, Earth and Life Institute, Université Catholique de Louvain, 1348 Louvain-la-Neuve, Belgium;4. Unit Environmental Modeling, Flemish Institute for Technological Research (VITO), Boeretang 200, 2400 Mol, Belgium;5. Royal Museum for Central Africa, Leuvensesteenweg 13, 3080 Tervuren, Belgium;6. Botanic Garden Meise, Bouchout Domain, Nieuwelaan 38, 1860 Meise, Belgium;7. Department of Soil Management, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium;8. Department of Bioscience Engineering, University of Antwerp, Groenenborgerlaan 171, 2000 Antwerpen, Belgium;9. CREaS, Department of Chemical Engineering, KU Leuven, Celestijnenlaan 200F, 3001 Leuven, Belgium;10. Aquafin NV, Dijkstraat 8, 2630 Aartselaar, Belgium;11. Technology Campus Gent, Odisee Hogeschool, Gebroeders De Smetstraat 1, 9000 Gent, Belgium;12. Environmental Stewardship and Sustainability – Brussels Innovation Center, Procter & Gamble, Temselaan 100, 1853 Strombeek-Bever, Belgium;13. Cluster for Bioengineering Technology, Department of Microbial and Molecular Systems, KU Leuven, Technology Campus Ostend, Zeedijk 101, B-8400 Oostende, Belgium;14. LabMET, Department of Biochemical and Microbial Technology, Faculty of Bioscience Engineering, Ghent University, Coupure Links 653, 9000 Gent, Belgium;1. Central Queensland University, Appleton Institute for Behavioural Science, 44 Greenhill Road, Wayville, South Australia, Australia;2. University of South Australia, W2-53 Mawson Lakes Campus, Mawson Lakes, South Australia, Australia;1. Pennsylvania State University, Hazleton, 76 University Drive, Hazleton, PA 18202, USA;2. National Institute for Occupational Safety and Health, 1095 Willowdale Rd, Morgantown, WV 26505, USA;1. School of Transportation Science and Engineering, Beijing Key Laboratory for Cooperative Vehicle Infrastructure System and Safety Control, Beihang University, Beijing 100191, China;2. Beijing Advanced Innovation Center for Big Data and Brain Computing, Beihang University, Beijing 100191, China |
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| Abstract: | Eco-driving, the practice of operating a vehicle with environmentally friendly objectives, has been the focus of an increasing number of driving studies over the past decade, as new forms of vehicle automation and more driver-centric feedback continually emerge. Common benefits range from reducing carbon footprints and emissions to better fuel economy. Studies have also examined the effectiveness of in-vehicle assistance devices and training or education programs for commercial and passenger vehicle operators. Eco-driving strategies in general show significantly smaller impacts in the field relative to their laboratory counterparts. This study further builds on this past work by comparing and disentangling the effects from motivational contexts, for example a competition with prizes, with the effects of informational context, such as tutorials for drivers. To investigate this comparison, laboratory experiments are conducted using a commercial vehicle simulator. The results suggest that motivational contexts are more effective at encouraging eco-driving relative to informational contexts. Furthermore, incentives within competitive contexts had similar positive impacts on reducing carbon dioxide emissions and improving fuel efficiency as experiencing a tutorial on eco-driving. One possible explanation is that drivers have gained knowledge on how to operate vehicles with an eco-driving objective through their driving experience. This result further suggests that with respect to effectively encouraging eco-driving, targeting experienced drivers through a competition is better than presenting information or a tutorial. |
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| Keywords: | Commercial vehicle operations Feedback Motivation Incentives Simulator Eco-driving |
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