App-based feedback on safety to novice drivers: learning and monetary incentives

Stefanie Peer, Alexander Mürmann, Katharina Sallinger

Publication: Scientific journalJournal articlepeer-review

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Abstract

An over-proportionally large number of car crashes is caused by novice drivers. In a field experiment, we investigated whether and how car drivers who had recently obtained their driving license reacted to app-based feedback on their safety-relevant driving behavior (speeding, phone usage, cornering, acceleration and braking). Participants went through a pre-measurement phase during which they did not receive app-based feedback but driving behavior was recorded, a treatment phase during which they received app-based feedback, and a post-measurement phase during which they did not receive app-based feedback but driving behavior was recorded. Before the start of the treatment phase, we randomly assigned participants to two possible treatment groups. In addition to receiving app-based feedback, the participants of one group received monetary incentives to improve their safety-relevant driving behavior, while the participants of the other group did not. At the beginning and at the end of experiment, each participant had to fill out a questionnaire to elicit socio-economic and attitudinal information. We conducted regression analyses to identify socio-economic, attitudinal, and driving-behavior-related variables that explain safety-relevant driving behavior during the pre-measurement phase and the self-chosen intensity of app usage during the treatment phase. For the main objective of our study, we applied regression analyses to identify those variables that explain the potential effect of providing app-based feedback during the treatment phase on safety-relevant driving behavior. Last, we applied statistical tests of differences to identify self-selection and attrition biases in our field experiment. For a sample of 130 novice Austrian drivers, we found moderate improvements in safety-relevant driving skills due to app-based feedback.
Original languageEnglish
Pages (from-to)198 - 219
JournalTransportation Research Part F: Traffic Psychology and Behaviour
Volume71
DOIs
Publication statusPublished - 2020

Austrian Classification of Fields of Science and Technology (ÖFOS)

  • 502052 Business administration
  • 502047 Economic theory
  • 502009 Corporate finance
  • 107007 Risk research
  • 101017 Game theory
  • 509015 Accident research

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