Good drivers pay less: A study of usage-based vehicle insurance models
Yiyang Bian,
Chen Yang,
J. Leon Zhao and
Liang Liang
Transportation Research Part A: Policy and Practice, 2018, vol. 107, issue C, 20-34
Abstract:
Usage-based insurance (UBI) has been attracting more and more attention; however, two open research questions are how behavioral data of drivers affects driving risk and how driver behavior should affect UBI pricing schemas. This paper proposes a driver risk classification model to evaluate the risk level of drivers based on in-car sensor data. A Behavior-centric Vehicle Insurance Pricing model (BVIP) and a vehicle premium calculation prototype are developed in this paper. Based on empirical data, our research results show that BVIP achieves better accuracy in terms of risk-level classification and the prototype achieves good performance in terms of effectiveness and usability.
Keywords: Usage-based insurance; Driving behavior; Driver risk-level classification; Behavior-centric vehicle insurance pricing (search for similar items in EconPapers)
Date: 2018
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Persistent link: https://EconPapers.repec.org/RePEc:eee:transa:v:107:y:2018:i:c:p:20-34
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DOI: 10.1016/j.tra.2017.10.018
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