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Evaluating changes in driver behaviour: A risk profiling approach

机译:评估驾驶员行为的变化:一种风险分析方法

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摘要

New road safety strategies continue to be devised by researchers and policy makers with pay-as-you-drive (PAYD) schemes gaining increasing attention. However, empirically measuring the effectiveness of these strategies is challenging due to the influence of the road environment and other factors external to the driver. The analysis presented here applies Temporal and Spatial Identifiers to control for the road environment and Driver Behaviour Profiles to provide a common measure of driving behaviour based on the risk of a casualty crash for assessing the effectiveness of a PAYD scheme on reducing driving risks. The results show that in many cases personalised feedback alone is sufficient to induce significant changes, but the largest reductions in risk are observed when drivers are also awarded a financial incentive to change behaviour. Importantly, the more frequent the exposure to the speeding information, the greater the magnitude of the change. However, the changes are disproportionately associated with those that were already safer drivers in the baseline period suggesting that some drivers may be predisposed to changing their behaviour. These results suggest that it would be beneficial to provide real-time or daily feedback on speeding behaviour in conjunction with a financial reward scheme, potentially as a component of insurance premiums.
机译:研究人员和政策制定者将继续开发新的道路安全策略,以“按需付费”(PAYD)计划日益受到关注。但是,由于道路环境和驾驶员外部其他因素的影响,以经验方式衡量这些策略的有效性具有挑战性。此处介绍的分析应用了时间和空间标识符来控制道路环境和驾驶员行为特征,以基于伤亡事故的风险提供驾驶行为的通用度量,以评估PAYD计划在降低驾驶风险方面的有效性。结果表明,在许多情况下,单独的个性化反馈足以引发重大变化,但是当驾驶员还获得改变行为的经济激励时,可以最大程度地降低风险。重要的是,暴露于超速信息的频率越高,变化的幅度就越大。但是,这些变化与那些在基准期间本来就比较安全的驾驶员的比例不成比例地相关,这表明某些驾驶员可能倾向于改变其行为。这些结果表明,结合财务奖励计划(可能作为保险费的一部分)提供有关超速行为的实时或每日反馈将是有益的。

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