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Driving Sustainably : The Influence of Eco-Feedback and Personal Factors on Driving Behaviour

Title data

Heger, Sebastian ; Gimpel, Henner ; Wöhl, Moritz ; Bätz, Alexander:
Driving Sustainably : The Influence of Eco-Feedback and Personal Factors on Driving Behaviour.
2020
Event: 53th Hawaii International Conference on System Sciences (HICSS) , 07.-10.01.2020 , Wailea , USA.
(Conference item: Conference , Speech )

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: Conference item (Speech)
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
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: 27 Sep 2019 08:53
URI: https://eref.uni-bayreuth.de/id/eprint/52484