Paper Title
Spatial Density of Traffic Accidents in Dusit District Bangkok

Abstract
This research is Spatial density of traffic accidents in Dusit district Bangkok. The analysis by means of statistical analysis. To study the spatial density of traffic accidents in Dusit district Bangkok and analyzing Road Factors Affecting Spatial Density, Traffic Accident in Dusit, Bangkok. The results of the study show that the spatial density of traffic accidents in Dusit district Bangkok. The distribution of traffic accidents according to the spatial class of points and lines along the plane is the traffic accident. This includes 9 traffic intersections under the responsibility area and traffic accident information of Samsen Police Station. By using a cartographic method using the number of traffic accidents as indicators of the size of traffic accidents. Traffic accidents can be divided into 3 levels to show spatial density. Traffic accidents in each intersection are more or less frequent. It is the traffic that has the number of traffic accidents 31 cases. There are 1 traffic split, namely Thon Buri intersection, traffic with moderate traffic accident. There are 6 traffic congestion cases between traffic congestion. There are 6 traffic intersections: Si Yan Intersection, Wachira Intersection, Kanruean Intersection, Pichai Intersection, Suan Ruenruedee and Ruam Chit Intersection. And separation Traffic breakdown with less traffic accidents. Traffic jam with traffic accident cases between 1-15 cases. There are two traffic intersections, Bang Krabue and Wang Daeng separated from the spatial density of the accident with a cartographic method. Nearest side the distance measurements of the nearest neighboring points. A measure of the distribution of point data, which has an index of 1.087057, indicates that the distribution pattern is general. The analysis of correlation coefficients using the Pearson product moment correlation coefficient the magnitude of traffic accidents is positively correlated with the frequency of travel. The r value of 0.813 was positively correlated with the traffic control factor, followed by the r value of 0.779, which was positively correlated with the traffic factor. The r value of 0.756 is positively correlated with the traffic length. The r value of 0.702 was positively correlated with lights that work perfectly. The fifth pedestrian facility factor, with the r value of 0.684 and a positive correlation with the number of traffic lanes. The r values were 0.516. The results of multiple regression analysis were as follows. Stepwise Regression was used to select variables. The analysis showed that the Coefficient of Multiple Correlation had the Regression Coefficient (B) of the equation given a constant (b0) of 8.838. The coefficient of regression of X2 was 1.219. Regression is Y = 8.838 + 1.219X2 (Frequency of travel). Index Terms: Form of Traffic Distribution, Environmental Factors of Road, Traffic Accidents, Dusit District.