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Providing eco-driving feedback to corporate car drivers: what impact does a smartphone application have on their fuel efficiency?

Published: 05 September 2012 Publication History

Abstract

The personal transport sector constitutes an important target of energy conservation and emission reduction programs. In this context, eco-feedback technologies that provide information on the driving behavior have shown to be an effective means to stimulate changes in driving in favor of both, reduced costs and environmental impact. This study extends the literature on eco-feedback technologies as it demonstrates that a smartphone application can improve fuel efficiency even under conditions where monetary incentives are not given, i.e. where the drivers do not pay for fuel. The field test, which took place with 50 corporate car drivers, demonstrates an improvement in the overall fuel efficiency by 3.23%. The theoretical contribution underlines the assumption that context-related feedback can favorably influence behavior even without direct financial benefits for the agent. Given the large share of corporate cars, findings are also of high practical importance and motivate future research on eco-driving feedback technologies.

References

[1]
Boriboonsomsin, K., Vu, A. and Barth, M. (2010). Eco-Driving: Pilot Evaluation of Driving Behavior Changes among US Drivers. University of California Transportation Center, UC Berkeley.
[2]
Froehlich, J. et al. (2009). Ubigreen: Investigating a Mobile Tool for Tracking and Supporting Green Transportation Habits. In CHI'09, 1043--1052.
[3]
Meschtscherjakov, A. et al. (2009). Acceptance of future persuasive in-car interfaces towards a more economic driving behaviour. In Proc. 1st International Conference on Automotive User Interfaces and Interactive Vehicular Applications. 81--88.
[4]
Siero, S. et al. (1989). Modification of driving behavior in a large transport organization: A field experiment. Journal of Applied Psychology, 74(3), 417--423.
[5]
Van der Voort, M., Dougherty, M. S. and van Maarseveen, M. (2001). A prototype fuel-efficiency support tool. Transportation Research Part C: Emerging Technologies, 9(4), 279--296.

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  • (2024)Providing State-Supported Financial Incentives and Benefits for Vehicle Insurance Policies Using TelematicsStrengthening European Mobility Policy10.1007/978-3-031-67936-0_7(87-99)Online publication date: 3-Oct-2024
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    cover image ACM Conferences
    UbiComp '12: Proceedings of the 2012 ACM Conference on Ubiquitous Computing
    September 2012
    1268 pages
    ISBN:9781450312240
    DOI:10.1145/2370216
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 05 September 2012

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    Author Tags

    1. context aware computing
    2. eco-driving
    3. eco-feedback technology
    4. sustainability
    5. user studies

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    Ubicomp '12
    Ubicomp '12: The 2012 ACM Conference on Ubiquitous Computing
    September 5 - 8, 2012
    Pennsylvania, Pittsburgh

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    UbiComp '12 Paper Acceptance Rate 58 of 301 submissions, 19%;
    Overall Acceptance Rate 764 of 2,912 submissions, 26%

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    Cited By

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    • (2024)The VITALS Framework: Empowering Programs to Leverage Health Information Technology for Trainee-Led Health Care Decarbonization and Climate AdaptationJournal of Graduate Medical Education10.4300/JGME-D-24-00067.116:6s(28-34)Online publication date: 13-Dec-2024
    • (2024)Providing State-Supported Financial Incentives and Benefits for Vehicle Insurance Policies Using TelematicsStrengthening European Mobility Policy10.1007/978-3-031-67936-0_7(87-99)Online publication date: 3-Oct-2024
    • (2023)Can Gamification Make Driving Styles More Sustainable? A Real-World Pilot StudyProceedings of the 2023 ACM Conference on Information Technology for Social Good10.1145/3582515.3609550(315-323)Online publication date: 6-Sep-2023
    • (2023)Use of AI in real time vessel routing optimization and emissions predictionOCEANS 2023 - Limerick10.1109/OCEANSLimerick52467.2023.10244567(1-6)Online publication date: 5-Jun-2023
    • (2023)The Effect of Visual Information Complexity on Urban Mobility Intention and BehaviorResearch Challenges in Information Science: Information Science and the Connected World10.1007/978-3-031-33080-3_27(452-466)Online publication date: 23-May-2023
    • (2022)A Fuzzy-Logic Approach Based on Driver Decision-Making Behavior Modeling and SimulationSustainability10.3390/su1414887414:14(8874)Online publication date: 20-Jul-2022
    • (2022)(Eco-)Logical to Compare? - Utilizing Peer Comparison to Encourage Ecological Driving in Manual and Automated DrivingProceedings of the 14th International Conference on Automotive User Interfaces and Interactive Vehicular Applications10.1145/3543174.3545256(24-33)Online publication date: 17-Sep-2022
    • (2022)EcoGO: Combining eco-feedback and gamification to improve the sustainability of driving styleProceedings of the 2022 International Conference on Advanced Visual Interfaces10.1145/3531073.3531127(1-5)Online publication date: 6-Jun-2022
    • (2022)Sustainable behavior in motion: designing mobile eco-driving feedback information systemsInformation Technology and Management10.1007/s10799-021-00352-623:4(299-314)Online publication date: 1-Dec-2022
    • (2022)Smartphones in Personal Informatics: A Framework for Self-Tracking Research with Mobile SensingDigital Phenotyping and Mobile Sensing10.1007/978-3-030-98546-2_6(77-104)Online publication date: 23-Jul-2022
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