The Development of Surveillance Model and Road Accident Risk Management at Mueang Sakon Nakhon, Sakon Nakhon Province
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Abstract
This research aims to develop and evaluate the efficiency of the Sensor Model surveillance and risk management system for road accidents, “Sensor Model, Mueang Sakon Nakhon District, Sakon Nakhon Province”. The research and development divided into three phases: Study and development of the model, application of the model, and evaluation of the model by study in a development team of 150 people, including the operations center committee, 261 people who had an accident during 2024, and 30 key informants. The data was collected using accident records, questionnaires, brainstorming questions, and in-depth interviews, as well as the data from the database system. Quantitative data were analyzed by descriptive statistics, t-test, and content analysis for qualitative data. The results found that 1) Mueang Sakon Nakhon District accidents resulted in a high number of injuries and deaths, especially during the New Year and Songkran festivals. There are three factors involved in accidents: human factors, vehicle factors, and road and environmental factors. The risky behavior of most accident victims was not wearing a helmet, not fastening a seat belt, not having a driving license. 2) Mueang Sakon Nakhon District has established a road safety operations center both at the district and local level, which plays an important role in preventing road accidents in accordance with Sensor Model, the model of surveillance and risk management for road accidents This model caused a significant decrease in the injury rate, and the satisfaction of residents in the area was significantly high at the.01 level after the experiment. Therefore, the Sensor Model strengthens communities to prevent road accidents, creates a mechanism to drive community road accident prevention, develops information and communication systems to report accident risks in the area, develops potential and prepare to prevent road accidents, and reports road accident news in the area, leading to management that is an effective guideline for preventing injuries from road accidents, which should extend to other districts.
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