An Exploratory Study of the Relationship Between Socioeconomic Status and Motor Vehicle Safety Features
An Exploratory Study of the Relationship Between Socioeconomic Status and Motor Vehicle Safety Features
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DOI：
10.1080/15389580903531598
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发表时间：
2010-01-01
影响因子：
2
通讯作者：
Taylor, Brett
中科院分区：
文献类型：
--
作者：
Girasek, Deborah C.;Taylor, Brett
目的：本研究的目的是评估机动车所有者的社会经济地位（SES）和他们的机动车辆的安全性之间的关联。方法：截断车辆识别号码（VIN）从马里兰州机动车辆管理局办公室。邮政编码级别的收入和教育数据被分配给每个VIN。软件用于识别与安全相关的车辆特征，包括碰撞测试等级、电子稳定控制系统和侧面碰撞安全气囊的可用性、年龄和重量。进行相关性和方差分析，以评估是否邮政编码的家庭收入中位数和教育水平与其注册车辆的比例与safety features.Results：13的16个相关性进行，SES显着相关的方向，有利于高收入的个人的车辆安全功能的可用性。车辆重量与收入或教育无关。当邮政编码被划分为中位数家庭收入的五分之一，他们的平均比例的安全功能也有显着不同，在同一方向上，电子稳定控制，侧面碰撞安全气囊，车辆的年龄，和碰撞测试rates.Conclusions的可用性：更安全的机动车似乎分布沿着社会经济线，与低收入群体经历更多的风险。这种以前未被发现的差距机制值得进一步研究，并引起决策者的注意。
Objective: The purpose of this study was to assess the association between motor vehicle owners' socioeconomic status (SES) and the safety of their motor vehicles.Methods: Truncated vehicle identification numbers (VINs) were obtained from the Maryland Motor Vehicle Administration office. ZIP code-level income and educational data were assigned to each VIN. Software was used to identify safety-related vehicle characteristics including crash test rating, availability of electronic stability control and side impact air bags, age, and weight. Correlations and analyses of variance were performed to assess whether a ZIP code's median household income and educational level were associated with its proportion of registered vehicles with safety features.Results: For 13 of the 16 correlations performed, SES was significantly associated with the availability of vehicle safety features in a direction that favored upper-income individuals. Vehicle weight was not associated with income or education. When ZIP codes were divided into median household income quintiles, their mean proportions of safety features also differed significantly, in the same direction, for availability of electronic stability control, side impact air bags, vehicle age, and crash test ratings.Conclusions: Safer motor vehicles appear to be distributed along socioeconomic lines, with lower income groups experiencing more risk. This previously unidentified mechanism of disparity merits further study and the attention of policy makers.