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Towards an Alternative Approach for Roading Organizations Emergency Management Training and Research: Exercises Observation and Game-Based Scenario Simulation

机译:寻求道路组织应急管理培训和研究的替代方法:演习观察和基于游戏的场景模拟

摘要

Emergency management data can be scarce and biased due to response priorities, compiling processes and time spans between event occurrence and data collection. Such limitations are heavily associated with natural and man-made disasters been the most reliable sources of information for emergency management research. This paper presents a synergic method to collect data by observing and simulating emergencies. This combined approach originated from the need to have additional experiences to support research by not uniquely relying upon real events or big scale emergency simulations, which can be too sporadic and costly. Road organizations were defined as the main case study due to their vital role in emergency response and recovery. A five-step observation method and a game-base scenario simulation were designed and assessed. To do so, it was observed seven exercises in New Zealand and conducted pilot simulations with numerous volunteers. Data collected using the proposed method, indicated promising results to model extreme event decision-making as well as potentials to generate knowledge for decision support. The method has also shown opportunities to be applied as a cost efficient emergency management training tool due to low development and implementation costs.
机译:由于响应优先级,编译过程以及事件发生与数据收集之间的时间跨度,紧急管理数据可能会稀缺且带有偏差。这种局限性与自然灾害和人为灾害密切相关,自然灾害和人为灾害是应急管理研究的最可靠信息来源。本文提出了一种通过观察和模拟紧急情况来收集数据的协同方法。这种组合的方法源于需要更多的经验来支持研究,而不是仅仅依靠真实事件或大规模的紧急模拟,而这可能是零星的,而且成本很高。由于道路组织在应急响应和恢复中起着至关重要的作用,因此被定义为主要案例研究。设计并评估了五步观察法和基于游戏的情景模拟。为此,在新西兰进行了7次演习,并与众多志愿者进行了试点模拟。使用所提出的方法收集的数据表明,对极端事件决策进行建模的结果令人鼓舞,并且具有为决策支持产生知识的潜力。由于较低的开发和实施成本,该方法还显示出有机会被用作具有成本效益的应急管理培训工具。

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