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. Author manuscript; available in PMC: 2014 Oct 23.
Published in final edited form as: Accid Anal Prev. 2013 Mar 13;55:135–143. doi: 10.1016/j.aap.2013.03.001

Table 4.

Average change in relative risk for a 1% rise in outlet densities.

Outlet type Total crashes relative to population HBD crashes relative to total crashes SVN crashes relative to total crashes
Bar/pub density
 Local −0.003% 0.005% 0.004%
 Spatially lagged 0.007% −0.002% 0.030%
Restaurant density
 Local 0.025% 0.003% 0.002%
 Spatially lagged −0.095% 0.013% −0.023%
Off-premise density
 Local −0.035% −0.004% −0.056%
 Spatially lagged 0.061% 0.018% 0.005%
Total retail density
 Local 0.025% −0.012% −0.022%
 Spatially Lagged 0.045% −0.011% −0.001%

Note: this table simulates the average change in predicted crash or alcohol-involvement risks if every ZIP code had one percent more establishments of the specified outlet type than it actually had in each year. This simulation is based on posterior effect estimates from Table 3. Changes for well-supported outlet density effects are shown in bold.