Chomchid PHROMSIN, Geography Dept. Kasetsart University, Thailand
Tawan MOOKDASANIT, Geography Dept. Kasetsart University, Thailand
Pattarapong BAOJUNTUK, Geography Dept. Kasetsart University, Thailand
Sattawat PUENGCHAROEN, Geography Dept. Kasetsart University, Thailand
Sahapoom NAKCHAROEN, Geography Dept. Kasetsart University, Thailand
Thailand has long been the attractive destination for tourists in the world. The city likes Bangkok is well-developed and provides all kinds of modern comforts. On the other hand, awareness of big tourist cities around the world is - they are desirable vacation destinations and incredibly dangerous. It will be safer if the tourists know where is the places and times that tourists tend to avoid due to unrest and crime. The aim of this research is to identify the spatial distribution of crime scene hotspots by using Kernel Density Estimation (KDE) technique and also using Nearest Neighbor Index (NNI) to compare an observed distribution with crimes data between the year 2015-2018. The results of KDE found that the distribution of risk areas clustered around Sukhumvit Road. Khlongtan Nuea subdistrict of Bangkok where is the center of entertainment venues was located nightlife, clubs and lounges. There were 185 times in 4 years and crime scene hotspots displayed in cluster pattern (NNI was 0.503-0.728). It was found that the times when most cases occurred were from 12:00 to 2:59 PM and between 21:00 to 11:59 PM. The victims of crime was Asia is the most (63.15%) European (21.05%) Australian (2.63%) and others, respectively.
Mots clés : Crime scene|Spatial Distribution Patterns |Foreign tourists|Kernel Density Estimation|Nearest Neighbor Index
A103548CP