title: Spatial panel analyses of alcohol outlets and motor vehicle crashes in California: 1999-2008.
abstract: Although past research has linked alcohol outlet density to higher rates of drinking and many related social problems, there is conflicting evidence of density's association with traffic crashes. An abundance of local alcohol outlets simultaneously encourages drinking and reduces driving distances required to obtain alcohol, leading to an indeterminate expected impact on alcohol-involved crash risk. This study separately investigates the effects of outlet density on (1) the risk of injury crashes relative to population and (2) the likelihood that any given crash is alcohol-involved, as indicated by police reports and single-vehicle nighttime status of crashes. Alcohol outlet density effects are estimated using Bayesian misalignment Poisson analyses of all California ZIP codes over the years 1999-2008. These misalignment models allow panel analysis of ZIP-code data despite frequent redefinition of postal-code boundaries, while also controlling for overdispersion and the effects of spatial autocorrelation. Because models control for overall retail density, estimated alcohol-outlet associations represent the extra effect of retail establishments selling alcohol. The results indicate a number of statistically well-supported associations between retail density and crash behavior, but the implied effects on crash risks are relatively small. Alcohol-serving restaurants have a greater impact on overall crash risks than on the likelihood that those crashes involve alcohol, whereas bars primarily affect the odds that crashes are alcohol-involved. Off-premise outlet density is negatively associated with risks of both crashes and alcohol involvement, while the presence of a tribal casino in a ZIP code is linked to higher odds of police-reported drinking involvement. Alcohol outlets in a given area are found to influence crash risks both locally and in adjacent ZIP codes, and significant spatial autocorrelation also suggests important relationships across geographical units. These results suggest that each type of alcohol outlet can have differing impacts on risks of crashing as well as the alcohol involvement of those crashes.
authors.affiliation: Prevention Research Center, Pacific Institute for Research & Evaluation, 1995 University Avenue, Suite 450, Berkeley, CA 94704, United States. bponicki@prev.org
authors.forename: William R
authors.initials: WR
authors.lastname: Ponicki
authors.forename: Paul J
authors.initials: PJ
authors.lastname: Gruenewald
authors.forename: Lillian G
authors.initials: LG
authors.lastname: Remer
mesh_terms: D000063:Accidents, Traffic / Q000706:statistics & numerical data*; D000434:Alcoholic Beverages / Q000706:statistics & numerical data* / Q000600:supply & distribution; D001499:Bayes Theorem; D002140:California; D003132:Commerce / Q000706:statistics & numerical data; D006801:Humans; D016013:Likelihood Functions; D012147:Restaurants / Q000706:statistics & numerical data*; D062206:Spatial Analysis
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