Title data
Heger, Sebastian ; Gimpel, Henner ; Wöhl, Moritz ; Bätz, Alexander:
Driving Sustainably : The Influence of Eco-Feedback and Personal Factors on Driving Behaviour.
In:
Proceedings of the 53rd Hawaii International Conference on System Sciences (HICSS). -
Honolulu, USA
,
2020
ISBN 978-0-9981331-3-3
Abstract in another language
One starting point to reduce harmful greenhouse gas emissions is driving behavior. Previous studies have already shown that eco-feedback leads to re-duced fuel consumption. However, less has been done to investigate how driving behavior is affected by eco-feedback. Yet, understanding driving behavior is im-portant to target personalized recommendations to-wards reduced fuel consumption. In this paper, we investigate a real-world data set from an IoT-based smart vehicle service. We first extract seven distinct factors that characterize driving behavior from data of 5,676 users. Second, we derive initial hypotheses on how eco-feedback may affect these factors. Third, we test these hypotheses with data of another 495 users receiving eco-feedback. Results suggest that eco-feedback, for instance, reduces hard acceleration maneuvers while interestingly speed is not affected. Our contribution extends the understanding of meas-uring driving behavior using IoT-based data. Fur-thermore, we contribute to a better understanding of the effect of eco-feedback on driving behavior.
Further data
Item Type: | Article in a book |
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Refereed: | Yes |
Keywords: | Eco-Feedback; Driving Behavior; Real-World Data; Factor Analysis |
Institutions of the University: | Faculties > Faculty of Law, Business and Economics > Department of Business Administration Research Institutions Research Institutions > Affiliated Institutes Research Institutions > Affiliated Institutes > Fraunhofer Project Group Business and Information Systems Engineering Research Institutions > Affiliated Institutes > FIM Research Center Finance & Information Management Faculties Faculties > Faculty of Law, Business and Economics |
Result of work at the UBT: | Yes |
DDC Subjects: | 000 Computer Science, information, general works > 004 Computer science 300 Social sciences > 330 Economics |
Date Deposited: | 27 Sep 2019 08:53 |
Last Modified: | 26 Oct 2022 11:44 |
URI: | https://eref.uni-bayreuth.de/id/eprint/52484 |