Improving Traffic Incident Management Using Team Cognitive Work Analysis

IF 2.2 Q3 ENGINEERING, INDUSTRIAL Journal of Cognitive Engineering and Decision Making Pub Date : 2020-06-01 DOI:10.1177/1555343419882595
Vanessa Cattermole-Terzic, T. Horberry
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引用次数: 3

Abstract

Effective traffic incident management requires separate responder agencies, with different and sometimes competing priorities and purposes, to come together as a team. Their priorities include optimizing casualty outcomes, minimizing the disruption to the flow of traffic, and maintaining responder team safety. In this study, team Cognitive Work Analysis was used in a desktop exercise setting to analyze a complex traffic incident management exercise. The study investigated decisions made at the scene of an incident to determine system issues and system support solutions. Participants were all senior officers and decision makers in traffic incident management environments. Results indicated that team Cognitive Work Analysis was highly beneficial in determining gaps in team coordination, communication, and structures. Information regarding shared and not shared work elements between agencies highlighted novel coordination and education requirements within and between agencies, such as disparate priorities at the scene creating the risk of interoperability issues. Analyses of operational, coordination, and structural strategies offered new insights into the traffic incident management work domain and recommendations for improvements to the safety and performance of the overall traffic incident management system.
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利用团队认知工作分析改进交通事故管理
有效的交通事故管理需要有不同的、有时是相互竞争的优先事项和目的的不同的响应机构作为一个团队团结起来。他们的首要任务包括优化伤亡结果,最大限度地减少对交通流量的干扰,以及维护响应团队的安全。在本研究中,团队认知工作分析在桌面练习设置分析复杂的交通事故管理练习。该研究调查了在事件现场做出的决定,以确定系统问题和系统支持解决方案。参加者均为交通事故管理部门的高级人员及决策者。结果表明,团队认知工作分析在确定团队协调、沟通和结构方面的差距方面非常有益。关于机构之间共享和不共享工作要素的信息突出了机构内部和机构之间新的协调和教育要求,例如现场不同的优先事项造成互操作性问题的风险。对运作、协调和结构策略的分析,为交通事故管理工作领域提供了新的见解,并为改善整个交通事故管理系统的安全和表现提出了建议。
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来源期刊
CiteScore
4.60
自引率
10.00%
发文量
21
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