Driving Sustainably – The Influence of IoT-based Eco-Feedback on Driving Behavior

dc.contributor.author Bätz, Alexander
dc.contributor.author Gimpel, Henner
dc.contributor.author Heger, Sebastian
dc.contributor.author Wöhl, Moritz
dc.date.accessioned 2020-01-04T07:19:49Z
dc.date.available 2020-01-04T07:19:49Z
dc.date.issued 2020-01-07
dc.description.abstract One starting point to reduce harmful greenhouse gas emissions is driving behavior. Previous studies have already shown that eco-feedback leads to reduced fuel consumption. However, less has been done to investigate how driving behavior is affected by eco-feedback. Yet, understanding driving behavior is important to target personalized recommendations towards re-duced 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 measuring driving behavior using IoT-based data. Furthermore, we contribute to a better understanding of the effect of eco-feedback on driving behavior.
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2020.114
dc.identifier.isbn 978-0-9981331-3-3
dc.identifier.uri http://hdl.handle.net/10125/63853
dc.language.iso eng
dc.relation.ispartof Proceedings of the 53rd Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Analytics and Decision Support for Green IS and Sustainability Applications
dc.subject driving behavior
dc.subject eco-feedback
dc.subject factor model
dc.subject iot
dc.subject real-world data
dc.title Driving Sustainably – The Influence of IoT-based Eco-Feedback on Driving Behavior
dc.type Conference Paper
dc.type.dcmi Text
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