The effectiveness of drinking and driving policies for different alcohol-related fatalities: A quantile regression analysis

Yung Hsiang Ying, Chin Chih Wu, Koyin Chang

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)4628-4644
Number of pages17
JournalInternational journal of environmental research and public health
Volume10
Issue number10
DOIs
Publication statusPublished - 2013 Sep 27

Keywords

  • Alcohol-related traffic fatalities
  • Policies
  • Quantile regression analysis

ASJC Scopus subject areas

  • Public Health, Environmental and Occupational Health
  • Health, Toxicology and Mutagenesis

Fingerprint Dive into the research topics of 'The effectiveness of drinking and driving policies for different alcohol-related fatalities: A quantile regression analysis'. Together they form a unique fingerprint.

  • Cite this