Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/173519
Title: Percentile reference charts for speeding based on telematics information
Author: Guillén, Montserrat
Pérez Marín, Ana María
Alcañiz, Manuela
Keywords: Assegurances d'automòbils
Velocitat
Telemàtica
Estadística quàntica
Anàlisi de regressió
Automobile insurance
Speed
Telematics
Quantum statistics
Regression analysis
Issue Date: 1-Feb-2021
Publisher: Elsevier
Abstract: Reference charts are widely used as a graphical tool for assessing and monitoring children's growth given gender and age. Here, we propose a similar approach to the assessment of driving risk. Based on telematics data, and using quantile regression models, our methodology estimates the percentiles of the distance driven at speeds above the legal limit depending on drivers' characteristics and the journeys made. We refer to the resulting graphs as percentile charts for speeding and illustrate their use for a sample of drivers with Pay- How-You-Drive insurance policies. We find that percentiles of distance driven at excessive speeds depend mainly on total distance driven, the percentage of driving in urban areas and the driver's gender. However, the impact on the estimated percentile for these covariates is not constant. We conclude that the heterogeneity in the risk of driving long distances above the speed limit can be easily represented using reference charts and that, conversely, individual drivers can be scored by calculating an estimated percentile for their specific case. The dynamics of this risk score can be assessed by recording drivers as they accumulate driving experience and cover more kilometres. Our methodology should be useful for accident prevention and, in the context of Manage-How-You-Drive insurance, reference charts can provide real-time alerts and enhance recommendations for ensuring safety.
Note: Versió postprint del document publicat a: https://doi.org/10.1016/j.aap.2020.105865
It is part of: Accident Analysis and Prevention, 2021, vol. 150, num. 105865
URI: http://hdl.handle.net/2445/173519
Related resource: https://doi.org/10.1016/j.aap.2020.105865
ISSN: 0001-4575
Appears in Collections:Articles publicats en revistes (Econometria, Estadística i Economia Aplicada)

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