RISK FACTORS FOR TRAFFIC ACCIDENTS IN PALEMBANG CITY

Abstract

The occurrence of traffic accidents is still a relevant issue to this day. The high number of traffic accidents is one of the major problems in the field of public health that can cause injury, property loss and even death. Based on data on traffic accidents Palembang Polrestabes in 2020 still shows the high incidence of traffic accidents in the palembang city area. This study aims to analyze the incidence of traffic accidents based on the characteristics of accidents in the Palembang City area by 2020. Secondary data in this study using quantitative methods with a cross sectional approach and a sample of this study amounted to 414 accident victims. The sampling technique used in this study is purposive sampling. This research analysis uses univariate analysis, bivariate analysis, and analysis with the AEK (Accident Equivalent Numbers) method. The results of the analysis showed that there is a relationship between the location of the incident (P-value = 0.001) and the type of collision (P-value = 0.003) with the occurrence of a traffic accident. As for the age variable (P-value = 0.547), Gender (P-value = 0.967), employment status (P-value = 0.607), driver's license ownership (P-value = 0.052), the time of occurrence (P-value = 0.301), the type of vehicle (P-value = 1,000) did not have a significant association to the occurrence of traffic accidents in the city of Palembang. Based on the highest equivalent number value there are five roads that include the location of the blackspot, namely Kimarogan road, Colonel Burlian road, General Sudirman road, Alamsyah Ratu Prawiranegara road, and Mayjend.Y.Singadekane road. It can be concluded that there is a relationship between the location of the incident based on the model of the direction of traffic and the type of collision with the occurrence of a traffic accident. It is hoped that this research can be a foundation for related parties in efforts to minimize the incidence of traffic accidents based on the characteristics of accidents.