Simulating evacuation behaviour in fire emergencies is an increasingly important method for assessing design to mitigate the likelihood of life losses. To date, several approaches have been used to predict the pre-evacuation time (i.e. time between the first alarm or other initial cue until the moment an evacuee starts moving toward a safe place) using distribution functions or evacuation decision models. In this work a modified version of the Evacuation Decision Model (EDM) is developed and incorporated into an agent-based egress simulation tool. The paper identifies input distributions for the characteristic time to reach an investigating state when an agent receives an alarm alert using waking time measurements from the literature. The results from EDM simulations are compared to the New Zealand verification method (C/VM2) pre-travel activity times. Exceedance probabilities are identified for scenarios in which occupants are sleeping in a familiar building and exposed to a ‘standard’ alarm or sleeping in an unfamiliar building and exposed to a ‘standard’ or voice alarm. A corresponding pre-evacuation time for a scenario in which occupants are sleeping, familiar with the building and exposed to a voice alarm signal is forecast using EDM.

模拟火灾紧急情况下的疏散行为是评估减轻生命损失可能性的设计的一种越来越重要的方法。迄今为止，已经使用了几种方法来使用分布函数或疏散决策模型来预测预疏散时间（即从第一次警报或其他初始提示到疏散人员开始向安全地点移动的那一刻之间的时间）。在这项工作中，开发了疏散决策模型 (EDM) 的修改版本，并将其合并到基于代理的出口模拟工具中。该论文使用文献中的唤醒时间测量值确定了当代理收到警报警报时达到调查状态的特征时间的输入分布。将 EDM 模拟的结果与新西兰验证方法 (C/VM2) 旅行前活动时间进行比较。对于居住在熟悉的建筑物中并暴露于“标准”警报或在不熟悉的建筑物中睡觉并暴露于“标准”或语音警报的情况，确定了超出概率。使用 EDM 预测居住者正在睡觉、熟悉建筑物并暴露于语音警报信号的情况下的相应预疏散时间。