As society becomes more complex, the importance of quick and eff ective 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 signifi cant 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 traffi c

and path-fi nding 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 fi ndings reveal signifi cant 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 effi cacy of disaster management systems,

thereby enhancing public safety and resilience against future radiological events.