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How alcohol-related crashes of different severity interrelate and respond to local spatial characteristics:An evaluation of a common site sales ban on alcohol and gasoline
Authors:Michael C Farmer  Clifford A Lipscomb  Patrick S McCarthy
Affiliation:(1) Center for Paper Business and Industry Studies, Georgia Institute of Technology, 500 10th Street NW Atlanta, GA 30332, USA;(2) Bureau of Economic Analysis, Regional Economic Analysis Division, , 1441 L St. NW, Washington, DC, 20230;(3) School of Economics, Georgia Institute of Technology, Atlanta, GA, 30318
Abstract:Highway safety is an important issue in both urban and rural areas. Based upon a unique panel of incorporated cities over a 96-month period from January 1982 to December 1989, this paper evaluates the effects of the State of Californiarsquos ban on common site sales of gasoline and alcohol to curb drunk driving. Geographic information systems (GIS) contribute spatial variables to an analysis of the impact of the ban on several categories of alcohol related crashes: fatalities, serious injuries, and property damage. By considering the types of alcohol-related crashes for the five-county Los Angeles area as interrelated, a seemingly unrelated regression (SUR) model locates more precise impacts. Overall the ban appears to reduce fatalities, serious injuries, and property damage crashes; but in relatively less population dense cities, the ban increases property damage and may increase more serious crashes in some urban neighborhoods. This suggests that the ban discourages highly impaired drivers but may motivate less impaired drivers to travel to an alternate alcohol purchase site. Diverse experiences in adjacent municipalities warn large regional or nation-wide evaluations of highway safety to take care when adopting large region or state lsquofixed effectrsquo adjusters in analyses that presume sub-region homogeneity.Received: October 2003/Accepted: February 2004All correspondence to: Clifford A. Lipscomb. The authors would like to express their appreciation to Subrahmanyam Muthukumar for his assistance in preparing the GIS spatial variables. The views expressed in this paper are solely the authorsrsquo and do not necessarily reflect the views of either the Bureau of Economic Analysis or the U.S. Department of Commerce.
Keywords:R48  D01
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