Enhancing Radiological Emergency Response Through Agent-Based Model Case 2: Time Required for Staff Assemble

As society becomes more complex, the importance of quick and effective emergency response systems gets more emphasized. This paper introduces a way to reduce the time it takes for emergency staff assembly to be handled during radioactive accidents, which is one of significant factors to manage early stage situations. Using a type of computer modeling called agent-based modeling (ABM) on the NetLogo software, we examine how emergency responses are carried out, focusing on how emergency staff assembly workers are sent out and how they work together in a simulated setting. By integrating traffic and path-finding models, along with real-world GIS (Geographic Information System) data, our methodology allows for more realistic evaluation of response times under various scenarios, including harsh weather conditions (e.g., Heavy snow) and infrastructural disruptions (e.g., Earthquake). The findings reveal significant variability in emergency staff assembly times, underscored by the impact of environmental factors. This research not only contributes to the understanding of emergency response mechanisms but also provides a practical framework for improving the efficacy of disaster management systems, thereby enhancing public safety and resilience against future radiological events.