Analysis on the Characteristic between Urban Environment and Crime Rate in Food Service Business Location Area : Focused on Information of Crime Points in Geoje-si, Gyeongsangnam-do in South Korea

Autor: Lee Jong-Seol, Won Jin Young, Pak, So-Yeon, Jin Dong Shin
Rok vydání: 2019
Předmět:
Zdroj: Journal of Korea Planning Association. 54:131-139
ISSN: 2383-9171
1226-7147
Popis: In order to relieve the anxiety about crime safety and to prepare its management plan, it is necessary to study about the factors of crime occurrence. The correlation between crime occurrence and food service business was demonstrated in existing studies. The purpose of this study is to analyze the characteristics of crime occurrence according to the location of food service business and urban environment. As it is difficult to obtain data on actual crime point, CCTV inspection application data for criminal investigation was used as an alternative materials. For the analysis, the range that food service business location affect crime occurrence was suggested by analyzing the shortest distance between them. The correlation and cluster analysis were conducted for the number of food service businesses and the number of crime occurrences in each affected area. Also ANOVA analysis (land use ratio by clusters) was conducted on the clusters classified according to the distribution similarity of the two variables. Lastly, the urban environmental characteristics were analyzed through the area of land use by clusters. As the result, the range that food service business location affect crime occurrence was analyzed to be about 800m. It was deduced that the food service business had a greater impact on the crime rate in the area with high density of food service businesses. In urban areas, crime rates were reduced in areas where residential and commercial facilities are mixed. In other words, proper mixed land use may affect the suppression of crime-causing factors. This study is meaningful in that it suggested policy implications for crime management plan in urban space.
Databáze: OpenAIRE