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The relationship among HFACS levels ...

Yesilbas, Veysel.

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The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles./
作者:	Yesilbas, Veysel.
面頁冊數:	333 p.
附註:	Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Contained By:	Dissertation Abstracts International75-08B(E).
標題:	Engineering, System Science. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3580528
ISBN:	9781303997143

The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles.
Yesilbas, Veysel.

The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles. - 333 p.

Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.

Thesis (Ph.D.)--Old Dominion University, 2014.

This dissertation analyzes the structural relationships among the Human Factors Accident Classification System levels for unmanned air vehicle and manned air vehicle accidents and the common relationships between unmanned air vehicle and manned air vehicle accident causes. The study acquired DOD HFACS accident classification data from 347 United States Air Force Class A accident reports for the years between 2000 and 2013.

ISBN: 9781303997143Subjects--Topical Terms:

1018128
Engineering, System Science.

The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles.
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245 1 4 $a The relationship among HFACS levels and analysis of human factors in unmanned and manned air vehicles.
300 $a 333 p.
500 $a Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
500 $a Adviser: T. Steven Cotter.
502 $a Thesis (Ph.D.)--Old Dominion University, 2014.
520 $a This dissertation analyzes the structural relationships among the Human Factors Accident Classification System levels for unmanned air vehicle and manned air vehicle accidents and the common relationships between unmanned air vehicle and manned air vehicle accident causes. The study acquired DOD HFACS accident classification data from 347 United States Air Force Class A accident reports for the years between 2000 and 2013.
520 $a The dissertation utilized a set of analysis that is considered to contribute substantially to the respective domain of the study. The correlations found among categorical levels were applied to HFACS taxonomy based on the Reason Model via path analysis -- structural equation modeling. The study concluded the presence of statistically significant paths at both UAV and MAV accidents and common partial paths of those aircraft types within the framework of DOD HFACS taxonomy. The study also suggests that accident data can be utilized to test and improve the failure model of an organization through identification of significant effects such as technology and structural changes in the organization.
590 $a School code: 0418.
650 4 $a Engineering, System Science. $3 1018128
650 4 $a Military Studies. $3 1017606
650 4 $a Engineering, General. $3 1020744
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