Identification of Traffic Accident Hotspots, Incidence and Severe Injury Associated Factors by Using Geographic Information System and Trauma Registry, Nai Muang Subdistrict, Muang Khon Kaen District, Khon Kaen Province

Abstract

The cross-sectional study aimed to identify a traffic accident hotspot, determine incidence and analyze associated risk factors by using geographic information system (GIS) and trauma registry data in Nai Muang Subdistrict, Muang Khon Kaen Province during 2018-2022.Data was analyzed by using descriptive statistics and multiple logistic regression. 6,461 traffic accidents were recorded and the accident point mostly located in road block, intersection of alley and main road. And for years, severe injury had an increasing trend. The results showed associated risk factors which related to severe injury including age, sex, time of accident, vehicle types, driving risk behavior. Over or equal to 65 years old risk was 2.75 times (95%CI = 1.81–4.18) more likely to have severe injury than younger, male risk was 1.28 times (95%CI = 1.13–1.45) more likely to have severe injury than female, time of accident during 0.00 p.m. - 4.00 a.m. and 22.01 p.m. – 23.59 p.m. was 2.13 and 1.66 times (95%CI = 1.75–2.58, 95%CI = 1.30–2.13) compare to during 8.01 a.m. – 17.00 p.m., drink alcohol was 4.37 times (95%CI = 3.71–5.14) more likely to have severe injury than don’t drink alcohol with statistically significant (p-value < 0.001). Therefore, to improve for decreasing of severe injury, law enforcement and promoting safe driving behavior on road safety is important to implant discipline in road usage.