The Effectiveness of Drinking and Driving Policies for Different Alcohol-Related Fatalities: A Quantile Regression Analysis

International Journal of Environmental Research and Public Health

Yung-Hsiang Ying²  Chin-Chih Wu¹ 

[1] Institute of China and Asia-Pacific Studies, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung 804, Taiwan;College of Management, National Taiwan Normal University, Taipei, 106, Taiwan; E-Mail:

关键词: quantile regression analysis;    alcohol-related traffic fatalities;    policies;   

DOI  :  10.3390/ijerph10104628

来源: mdpi

【 摘 要 】

To understand the impact of drinking and driving laws on drinking and driving fatality rates, this study explored the different effects these laws have on areas with varying severity rates for drinking and driving. Unlike previous studies, this study employed quantile regression analysis. Empirical results showed that policies based on local conditions must be used to effectively reduce drinking and driving fatality rates; that is, different measures should be adopted to target the specific conditions in various regions. For areas with low fatality rates (low quantiles), people’s habits and attitudes toward alcohol should be emphasized instead of transportation safety laws because “preemptive regulations” are more effective. For areas with high fatality rates (or high quantiles), “ex-post regulations” are more effective, and impact these areas approximately 0.01% to 0.05% more than they do areas with low fatality rates.

【 授权许可】

CC BY   
© 2013 by the authors; licensee MDPI, Basel, Switzerland.