원문정보
The Effects of Monthly Alcohol Drinking Rate and Density of Restaurants and Bars on Violent Crime in South Korea
초록
영어
Objectives: This study aims to determine the regional spatial pattern of the number of restaurants and bars per population unit—one of the physical availability variables of alcohol—and to determine its relationship with violence, which is associated with harmful alcohol consumption. Methods: This study used secondary data from 250 cities and counties in South Korea gathered by several national institutions. The dependent variable is the number of violent crimes per 100,000 people, and the independent variables are the number of restaurants and bars per 100,000 people and monthly alcohol drinking rates in 250 cities and counties in Korea. Spatial cluster analysis and Bayesian conditional autoregressive modeling were employed using ArcGIS pro 2.6.0 and R programming. Results: Spatial autocorrelation was shown in the dependent variable and three independent variables. Regarding the number of violent crimes per 100,000 people, spatial hotspots occurred in Gangneung and Sokcho cities, Gangwon-do, Pyeongtaek, and Woongjin-si, the metropolitan area in Gyeonggi-do. Monthly alcohol drinking rate hot spots in cities and counties appeared in huge clusters: Busan and Ulsan cities. The local spatial autocorrelation of general restaurants was high in the coastal area of Gangwon-do. Restaurant hot spots occurred in cities and counties in coastal areas of Gangwon-do. Bar hot spots appeared in the coastal areas of Gangwon-do, some areas of Gyeongsangnam-do, and Busan city. Using Bayesian conditional autoregressive modeling, the factors affecting the rate of violent crime per 100,000 people were monthly alcohol drinking rate (p<.05) and the number of restaurants per 100,000 population (p<.01). Conclusion: It is necessary to establish a cooperative system in areas where alcohol consumption rates and violent crimes are clustered.
목차
Ⅱ. 연구방법
A. 사용 데이터
B. 변수 및 분석 대상 지역 정의
C. 공간적 군집패턴 분석
Ⅲ. 연구 결과
A. 종속변수
B. 독립변수
C. 일반선형회귀모형과 베이지안 조건부 자기회귀모형의 비교를 통한 음주율과 폭력범죄에 영향을 미치는 요인
Ⅳ. 논의
Ⅴ. 결론
참고문헌