The　spatial　econometric　model　was　used　to　conduct　an　empirical　study　of　the　spatial　effects　of　alcohol　outlets　on　drunk　driving　accidents.　3　356　cases　data　of　alcohol-related　crashes,　social　population　and　alcohol　consumption　related　points　of　interest　(POI)　were　collected　based　on　the　2　114　traffic　analysis　zones　(TAZ).　After　applying　exploratory　spatial　data　analysis,　the　traditional　ordinary　least　square　model,　the　spatial　lag　model,　spatial　error　model　and　spatial　durbin　model　were　developed.　The　models　were　compared　based　on　Lagrange　multiplier,　log　likelihood　and　likelihood　ratio　test.　Finally,　the　direct　effect,　spillover　effect　and　total　effect　of　explanatory　variables　were　quantitatively　analyzed.　Results　show　that　there　is　no　spatial　autocorrelation　for　the　alcohol　related　crashes　in　urban　district,　but　spatial　autocorrelation　in　inner　suburban　district　and　outer　suburban　district.　The　incremental　spatial　autocorrelation　shows　that　the　most　significant　distance　of　alcohol-related　road　crashes　is　1.54　km　in　inner　suburban　district　and　7.95　km　in　outer　suburban　district,　respectively.　Compared　with　different　spatial　models,　the　SDM　model　obtains　the　best　model　fit　and　explanatory　power.　The　spatial　effects　of　explanatory　variables　in　inner　suburban　district　and　outer　suburban　district　are　different;　however,　overall,　retails　density　has　positive　direct　effect　and　spillover　effect,　and　the　density　of　hotels　and　companies　has　negative　direct　effect.　The　conclusion　can　provide　an　important　basis　for　traffic　law　enforcement,　traffic　management,　land　use,　and　so　on.　©　2019,　Editorial　Department　of　Journal　of　Beijing　University　of　Technology.　All　right　reserved.