道路使用者的种族组成,交通传票和警察停车
Wenfei Xu1, Michael Smart2, Nebiyou Tilahun3
1Department of City and Regional Planning, Cornell University, Ithaca, NY 14853.
概括
黑人司机面临着自动摄像机和警察拦截的交通罚单的更高率,无论道路人口统计数据如何. 当更多的白人司机出现时,这种差异就会减少,这突显了交通执法中的种族偏见.
科学领域:
- 运输科学 运输科学
- 犯罪学 犯罪学
- 社会学 社会学 社会学
背景情况:
- 交通停车和传票的种族差异是一个重要的社会正义问题.
- 现有的研究往往缺乏关于道路用户人口统计数据的细节数据.
- 自动化执法 (速度摄像头) 为传统的警务提供了潜在的替代方案.
研究的目的:
- 通过使用手机GPS数据调查交通执法中的种族差异.
- 为了比较自动摄像机的引用率与与司机人口统计相关的警察拦截.
- 评估道路使用者的种族构成对执法结果的影响.
主要方法:
- 利用来自手机的全球定位系统 (GPS) 数据来估计道路使用者的种族组成.
- 在芝加哥大都市地区分析了大约4600万次旅行.
- 相关的引用数据 (摄像机票,警察拦截) 与估计的驾驶员人口统计和位置特征.
主要成果:
- 黑人司机更有可能收到摄像机罚款,并因违规移动而被警察拦截.
- 这种差异甚至在控制白人司机比例时也存在.
- 相机发布的引文比警察拦截更准确地反映了道路使用者的种族组成.
结论:
- 这项研究揭示了交通执法中的显著种族差异,特别是影响黑人司机.
- 自动化摄像头执法似乎更符合实际道路使用者的人口统计数据,而不是警察拦截.
- 这些发现对政策改革有影响,旨在减少交通执法方面的种族偏见,并促进社会正义.
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