文献类型： 外文期刊

第一作者： Ho, Teck-Hua

作者： Ho, Teck-Hua;Ho, Teck-Hua;Chong, Juin Kuan;Xia, Xiaoyu

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关键词： car color;road safety;data science;transportation science;sensory perception

期刊名称：PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA （ 影响因子：11.205； 五年影响因子：12.291 ）

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收录情况： SCI

摘要： Is there a link between the color of a taxi and how many accidents it has? An analysis of 36 mo of detailed taxi, driver, and accident data (comprising millions of data points) from the largest taxi company in Singapore suggests that there is an explicit link. Yellow taxis had 6.1 fewer accidents per 1,000 taxis per month than blue taxis, a 9% reduction in accident probability. We rule out driver difference as an explanatory variable and empirically show that because yellow taxis are more noticeable than blue taxis-especially when in front of another vehicle, and in street lighting-other drivers can better avoid hitting them, directly reducing the accident rate. This finding can play a significant role when choosing colors for public transportation and may save lives as well as millions of dollars.

分类号： N