scholarly journals Human Factors Analysis of Air Traffic Safety Based on HFACS-BN Model

2019 ◽  
Vol 9 (23) ◽  
pp. 5049 ◽  
Author(s):  
Tao Lyu ◽  
Wenbin Song ◽  
Ke Du
Keyword(s):  
Human Factors ◽  
Traffic Safety ◽  
Traffic Control ◽  
Human Error ◽  
Air Traffic ◽  
General Aviation ◽  
Objective Data ◽  
Factors Analysis ◽  
Four Levels ◽  
Human Factors Analysis

Air traffic control (ATC) performance is important to ensure flight safety and the sustainability of aviation growth. To better evaluate the performance of ATC, this paper introduces the HFACS-BN model (HFACS: Human factors analysis and classification system; BN: Bayesian network), which can be combined with the subjective information of relevant experts and the objective data of accident reports to obtain more accurate evaluation results. The human factors of ATC in this paper are derived from screening and analysis of 142 civil and general aviation accidents/incidents related to ATC human factors worldwide from 1980 to 2019, among which the most important 25 HFs are selected to construct the evaluation model. The authors designed and implemented a questionnaire survey based on the HFACS framework and collected valid data from 26 frontline air traffic controllers (ATCO) and experts related to ATC in 2019. Combining the responses with objective data, the noisy MAX model is used to calculate the conditional probability table. The results showed that, among the four levels of human factors, unsafe acts had the greatest influence on ATC Performance (79.4%), while preconditions for safe acts contributed the least (40.3%). The sensitivity analysis indicates the order of major human factors influencing the performance of ATC. Finally, this study contributes to the literature in terms of methodological development and expert empirical analysis, providing data support for human error management intervention of ATC in aviation safety.

scholarly journals Coding ATC Incident Data Using HFACS: Intercoder Consensus

2011 ◽  
Vol 2011 ◽  
pp. 1-8 ◽  
Author(s):  
Liang Wang ◽  
Yaohua Wang ◽  
Xiaoqiang Yang ◽  
Kai Cheng ◽  
Haishan Yang ◽  
...  
Keyword(s):  
Human Factors ◽  
Traffic Control ◽  
Air Traffic ◽  
The Other ◽  
Contributing Factors ◽  
Factors Analysis ◽  
Air Traffic Controllers ◽  
High Hazard ◽  
Incident Reports ◽  
Comparability Of Results

Reliability studies for coding contributing factors of incident reports in high hazard industries are rarely conducted and reported. Although the Human Factors Analysis and Classification System (HFACS) appears to have a larger number of such studies completed than most other systems doubt exists as the accuracy and comparability of results between studies due to aspects of methodology and reporting. This paper reports on a trial conducted on HFACS to determine its reliability in the context of military air traffic control (ATC). Two groups participated in the trial: one group comprised of specialists in the field of human factors, and the other group comprised air traffic controllers. All participants were given standardized training via a self-paced workbook and then read 14 incident reports and coded the associated findings. The results show similarly low consensus for both groups of participants. Several reasons for the results are proposed associated with the HFACS model, the context within which incident reporting occurs in real organizations and the conduct of the studies.

Human Error and Commercial Aviation Accidents: An Analysis Using the Human Factors Analysis and Classification System

2017 ◽  
pp. 73-88 ◽  
Author(s):  
Scott Shappell ◽  
Cristy Detwiler ◽  
Kali Holcomb ◽  
Carla Hackworth ◽  
Albert Boquet ◽  
...  
Keyword(s):  
Human Factors ◽  
Classification System ◽  
Human Error ◽  
Commercial Aviation ◽  
Aviation Accidents ◽  
Factors Analysis ◽  
Human Factors Analysis

Human Factors Analysis of Naval Aviation Maintenance Related Mishaps

2000 ◽  
Vol 44 (22) ◽  
pp. 775-778 ◽  
Author(s):  
John Schmidt ◽  
Dylan Schmorrow ◽  
Robert Figlock
Keyword(s):  
Human Factors ◽  
Classification System ◽  
Human Error ◽  
Naval Aviation ◽  
Aviation Maintenance ◽  
Factors Analysis ◽  
Proximate Factors ◽  
Human Factors Analysis

Naval Aviation has redoubled its long-standing efforts to eliminate mishaps, especially those linked to human error. The focus was expanded not only to cover aircrew error, but maintainer error as well. To examine maintainer error, the Naval Safety Center's Human Factors Analysis and Classification System (HFACS) was adapted to analyze reportable Naval Aviation maintenance related mishaps (MRMs). A total of 470 MRMs for Fiscal Years 90–97 were analyzed. The HFACS Maintenance Extension effectively profiled the nature of maintenance errors and depicted the latent supervisory, working, and maintainer conditions that “set the stage” for subsequent maintainer acts that were the proximate factors leading to a MRM. The profile and general findings held true for both major MRMs and less severe, reportable MRMs.

Sign in / Sign up

Export Citation Format

Share Document