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

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dc.contributor國立臺灣師範大學管理研究所zh_TW
dc.contributor.author印永翔zh_TW
dc.contributor.authorYing YHen_US
dc.contributor.authorCC Wuen_US
dc.contributor.authorKoyin Changen_US
dc.date.accessioned2016-06-03T03:03:18Z
dc.date.available2016-06-03T03:03:18Z
dc.date.issued2013-07-13
dc.description.abstractTo 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.en_US
dc.identifierntnulib_tp_I0103_01_006
dc.identifier.urihttp://rportal.lib.ntnu.edu.tw/handle/20.500.12235/78905
dc.languageen_US
dc.relationInternational Journal of Environmental Research and Public Health, 2013(10), 4628-4644.en_US
dc.subject.otherquantile regression analysiszh_TW
dc.subject.otheralcohol-related traffic fatalitieszh_TW
dc.subject.otherpolicieszh_TW
dc.titleThe Effectiveness of Drinking and Driving Policies for Different Alcohol-Related Fatalities: A Quantile Regression Analysis.en_US

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