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2019-2022 年,远程信息处理数据在估计驾驶员手持手机使用率方面的效用。

The utility of telematics data for estimating the prevalence of driver handheld cellphone use, 2019-2022.

机构信息

Insurance Institute for Highway Safety, 4121 Wilson Boulevard, 6th floor, Arlington, VA 22203, USA.

Insurance Institute for Highway Safety, 4121 Wilson Boulevard, 6th floor, Arlington, VA 22203, USA.

出版信息

J Safety Res. 2024 Jun;89:299-305. doi: 10.1016/j.jsr.2024.04.003. Epub 2024 May 4.

DOI:10.1016/j.jsr.2024.04.003
PMID:38858053
Abstract

INTRODUCTION

Driver distraction from handheld cellphone use contributes to fatal crashes every year but is underreported in terms of the proportion of crashes attributed to any distraction or cellphone use specifically. Existing methods to estimate the prevalence of cellphone distractions are also limited (e.g., observing drivers stopped at intersections, when crash risk is low). Our study used data from Cambridge Mobile Telematics to estimate the prevalence of drivers' handheld calls and cellphone manipulation while driving, with "cellphone motion" based on movement recorded by the phones' gyroscopes used as a surrogate for manipulation.

METHOD

We compared the telematics measures with the National Highway Traffic Safety Administration's roadside observations of driver electronic device use, and logistic regression tested relationships between regional, legislative, and temporal factors and the odds of cellphone behaviors occurring on a trip or at a given point in time.

RESULTS

Results showed 3.5% of trips included at least one handheld phone call and 33.3% included at least an instance of cellphone motion, with handheld calls occurring during 0.78% of overall trip duration and cellphone motion during 2.4% of trip duration.

CONCLUSIONS

Correspondence between trends in cellphone distractions across regional, legislative, and temporal factors suggest telematics data have considerable utility and appear to complement existing datasets.

摘要

简介

驾驶员使用手持手机会分散注意力,每年都会导致致命事故,但就事故归因于任何分散注意力或特定使用手机的比例而言,这种情况的报告却很少。现有的估计手机分心的患病率的方法也有限(例如,观察在十字路口停车的驾驶员,此时碰撞风险较低)。我们的研究使用了剑桥移动远程信息处理的数据来估计驾驶员在驾驶时手持通话和手机操作的发生率,“手机运动”基于手机陀螺仪记录的运动,作为操作的替代指标。

方法

我们将远程信息处理措施与国家公路交通安全管理局对驾驶员电子设备使用的路边观察进行了比较,逻辑回归测试了区域、立法和时间因素与在行程中或特定时间点发生手机行为的几率之间的关系。

结果

结果显示,3.5%的行程中至少有一次手持电话通话,33.3%的行程中至少有一次手机运动,手持电话通话发生在总行程的 0.78%时间内,手机运动发生在行程的 2.4%时间内。

结论

手机分心趋势在区域、立法和时间因素上的一致性表明,远程信息处理数据具有相当大的实用性,并且似乎可以补充现有数据集。

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