Literature DB >> 27723515

Innovative motor insurance schemes: A review of current practices and emerging challenges.

Dimitrios I Tselentis1, George Yannis2, Eleni I Vlahogianni2.   

Abstract

The objective of this paper is to provide a review of the most popular and often implemented methodologies related to Usage-based motor insurance (UBI). UBI schemes, such as Pay-as-you-drive (PAYD) and Pay-how-you-drive (PHYD), are a new innovative concept that has recently started to be commercialized around the world. The main idea is that instead of a fixed price, drivers have to pay a premium based on their travel and driving behaviour. Despite the fact that it has been implemented only for a few years, it appears to be a very promising practice with a significant potential impact on traffic safety as well as on traffic congestion mitigation and pollution emissions reduction. To this end, the existing literature on UBI schemes is reviewed and research gaps are identified Findings show that there is a multiplicity and diversity of several research studies accumulated in modern literature examining the correlation between PAYD (based on driver's travel behaviour and exposure) and PHYD (based on driving behaviour) schemes and crash risk in order to determine crash risk. Moreover, there is evidence that UBI implementation would eliminate the cross-subsidies phenomenon, which implies less insurance costs for less risky and exposed drivers. It would also provide a strong motivation for drivers to improve their driving behaviour, differentiate their travel behaviour and reduce their degree of exposure by receiving feedback and monitoring their driving preferences and performance, which would result in crash risk reduction both totally and individually. The paper finally discussed the current and emerging challenges on this research field.
Copyright © 2016 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Crash risk; Driving behaviour; Pay-as-you-drive; Pay-how-you-drive; Travel behaviour and exposure

Mesh:

Year:  2016        PMID: 27723515     DOI: 10.1016/j.aap.2016.10.006

Source DB:  PubMed          Journal:  Accid Anal Prev        ISSN: 0001-4575


  4 in total

1.  The public health implications of telematic technologies: An exploratory qualitative study in the UK.

Authors:  Judith Green; Andrey Romanovitch; Emma Garnett; Rebecca Steinbach; Daniel Lewis
Journal:  J Transp Health       Date:  2020-03

2.  Estimating the Necessary Amount of Driving Data for Assessing Driving Behavior.

Authors:  Anna-Maria Stavrakaki; Dimitrios I Tselentis; Emmanouil Barmpounakis; Eleni I Vlahogianni; George Yannis
Journal:  Sensors (Basel)       Date:  2020-05-02       Impact factor: 3.576

3.  Assessing Driving Risk Using Internet of Vehicles Data: An Analysis Based on Generalized Linear Models.

Authors:  Shuai Sun; Jun Bi; Montserrat Guillen; Ana M Pérez-Marín
Journal:  Sensors (Basel)       Date:  2020-05-09       Impact factor: 3.576

4.  Driving Risk Assessment Using Near-Miss Events Based on Panel Poisson Regression and Panel Negative Binomial Regression.

Authors:  Shuai Sun; Jun Bi; Montserrat Guillen; Ana M Pérez-Marín
Journal:  Entropy (Basel)       Date:  2021-06-29       Impact factor: 2.524

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.