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Title: Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model
Authors: Lai, Hsueh-Yi
Chen, Chun-Hsien
Zheng, Pai
Khoo, Li Pheng
Keywords: Engineering::Aeronautical engineering
Issue Date: 2020
Source: Lai, H., Chen, C., Zheng, P. & Khoo, L. P. (2020). Investigating the evolving context of an unstable approach in aviation from mental model disconnects with an agent-based model. Reliability Engineering and System Safety, 193, 106657-.
Project: ATMRI:2014-R5-CHEN
Journal: Reliability Engineering and System Safety
Abstract: Unstable approach is an adverse aviation event, and it is strongly related to the interaction between pilots and air traffic controllers (ATCOs). Mental model disconnects among team members can be a major cause of possible interaction conflicts and defective team cognition. Therefore, to study the negative effects of various mental model disconnects, a framework of evolving team cognition (FETC) is proposed to examine the evolving context of an accident. An agent-based model (ABM) is developed to simulate how mental model disconnects are involved in evolving landing scenarios. The results of a simulation conducted with the ABM indicate that mental model disconnects occur more frequently as an aircraft approaches the terminal area. For landing scenarios in the outer area between 100 and 50 nautical miles (Nm), task-related mental model disconnects occur more frequently, causing incompatibility between parties. The incompatibility reveals the necessity of extra coordination to prevent the potential occurrence of system errors. As for the scenarios around the terminal area (30–15 Nm), the team-related mental model disconnects prevail, leading to passive information dissemination regarding changing conditions and late initiation of urgent coordination. The combination of these factors causes a team to miss the window for preventing an adverse event.
ISSN: 0951-8320
DOI: 10.1016/j.ress.2019.106657
Schools: School of Mechanical and Aerospace Engineering 
Rights: © 2019 Elsevier Ltd. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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