The Development of A Dynamic Decision Support System for Road Traffic Injury Prevention in Mueang Uttaradit District, Uttaradit Province

Abstract

           Road traffic incidents are a major cause of fatalities globally, a fact highlighted by the World Health Organization. The province of Uttaradit in Thailand, especially its Mueang Uttaradit district, has recorded a high rate of deaths due to such incidents. This research focused on creating a geospatial data system and a decision-making support system aimed at reducing road traffic-related injuries, with a specific focus on the Mueang Uttaradit district during 2019-2020. The study employed a developmental research approach, using the PAOR (Planning, Action, Observation, Reflection) model. An evaluation of the system's effectiveness and user satisfaction was conducted using surveys and descriptive statistics. The research successfully compiled 12 different layers of spatial and attribute data related to road traffic accidents. A unique decision support system, named "Acci-Bot," was developed on the LINE app platform. This system is designed to compile and report on traffic accident data, pinpointing high-risk locations, capturing photographs from accident sites, and recording victim information. The app was distributed among community leaders, local emergency response teams, educational institutions, and health volunteers. Managed through both Provincial and District Road Safety Centers and the District Quality of Life Development Committee, the system facilitates the rapid and efficient handling of reported hazardous points. The system received a high level of satisfaction from its users, and the results after its introduction showed a decLINE in road traffic-related fatalities and injuries.