Abstract A simulation-based approach is proposed to study the protective actions taken by residents during nuclear emergencies using cognitive findings. Human perception-based behaviors are not heavily incorporated in the evacuation study for nuclear emergencies despite their known importance. This study proposes a generic framework of perception-based behavior simulation, in accordance with the ecological concept of affordance theory and a formal representation of affordance-based finite state automata. Based on the generic framework, a simulation model is developed to allow an evacuee to perceive available actions and execute one of them according to Newton’s laws of motion. The case of a shadow evacuation under nuclear emergency is utilized to demonstrate the applicability of the proposed framework. The illustrated planning algorithm enables residents to compute not only prior knowledge of the environmental map, but also the perception of dynamic surroundings, using widely observed heuristics. The simulation results show that the temporal and spatial dynamics of the evacuation behaviors can be analyzed based on individual perception of circumstances, while utilizing the findings in cognitive science under unavoidable data restriction of nuclear emergencies. The perception-based analysis of the proposed framework is expected to enhance nuclear safety technology by complementing macroscopic analyses for advanced protective measures.

中文翻译：

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基于感知的辐射应急疏散行为分析技术：以古里地区为例

摘要 提出了一种基于模拟的方法，利用认知发现来研究居民在核紧急情况下采取的保护行动。尽管众所周知，基于人类感知的行为并没有大量纳入核紧急情况的疏散研究中。本研究根据可供性理论的生态概念和基于可供性的有限状态自动机的形式表示，提出了基于感知的行为模拟的通用框架。在通用框架的基础上，开发了一个模拟模型，使撤离人员能够感知可用的动作并根据牛顿运动定律执行其中的一个动作。利用核紧急情况下的影子疏散案例来证明所提出框架的适用性。图示的规划算法使居民不仅可以计算环境地图的先验知识，还可以使用广泛观察到的启发式方法计算动态环境的感知。仿真结果表明，在核紧急情况不可避免的数据限制下，可以利用认知科学的发现，基于个体对环境的感知，分析疏散行为的时空动态。对拟议框架的基于感知的分析有望通过补充先进保护措施的宏观分析来增强核安全技术。仿真结果表明，在核紧急情况不可避免的数据限制下，可以利用认知科学的发现，基于个体对环境的感知，分析疏散行为的时空动态。对拟议框架的基于感知的分析有望通过补充先进保护措施的宏观分析来增强核安全技术。仿真结果表明，在核紧急情况不可避免的数据限制下，可以利用认知科学的发现，基于个体对环境的感知，分析疏散行为的时空动态。对拟议框架的基于感知的分析有望通过补充先进保护措施的宏观分析来增强核安全技术。