An analysis of human causal factors in Unmanned Aerial Vehicle (UAV) accidents

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dc.contributor.advisorPowley, Edward H.
dc.contributor.advisorHudgens, Bryan J.
dc.contributor.authorOncu, Mehmet
dc.contributor.authorYildiz, Suleyman
dc.contributor.corporateDepartment of Defense Management (DDM)
dc.contributor.departmentGraduate School of Business & Public Policy (GSBPP)
dc.dateDec-14
dc.date.accessioned2015-02-18T00:18:04Z
dc.date.available2015-02-18T00:18:04Z
dc.date.issued2014-12
dc.descriptionMBA Professional Reporten_US
dc.description.abstractHuman error has been identified as the major contributor in many severe aviation mishaps, even for accidents involving Unmanned Aircraft (UA) systems. The Department of Defense (DOD) has used the Human Factors Analysis and Classification System (HFACS) taxonomy successfully for ten years to discover the human error in UA mishaps. It is important not to ignore the indisputable human presence in UA and the possible human-related causal factors in UA mishaps so we might be better able to reduce and prevent possible incidents. HFACS with its four main and 19 subcategories is a useful framework for identifying which factors have arisen historically, and which of them should have priority. The results of this study reveals that among 287 causal factors attributed to 68 accidents, 65 percent of the factors were associated with humans. Moreover, this study also discloses that the rater who categorizes the factors can differently observe, understand, and interpret the findings of mishap investigation; thus, human error may even impact the categorization phase due to the rater’s perception. The research concluded that even though HFACS carried out its functionality well, further study is needed to conduct intense statistical analysis with unlimited data and to validate HFACS with more case studies and various raters.en_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.
dc.description.serviceCaptain, Turkish Air Forceen_US
dc.description.service1st Lieutenant, Turkish Armyen_US
dc.description.urihttp://archive.org/details/annalysisofhumca1094544637
dc.identifier.urihttps://hdl.handle.net/10945/44637
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.relation.ispartofseriesMaster of Business Administration (MBA) Professional Reports
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.subject.authorhuman factors analysis and classification system (HFACS)en_US
dc.subject.authorU.S.en_US
dc.subject.authorTurkeyen_US
dc.subject.authormishapsen_US
dc.subject.authorhuman factorsen_US
dc.subject.authorunmanned aircraft systemsen_US
dc.subject.authoraccident investigation reportsen_US
dc.subject.authorNavy Safety Center data.en_US
dc.titleAn analysis of human causal factors in Unmanned Aerial Vehicle (UAV) accidentsen_US
dc.typeThesisen_US
dspace.entity.typePublication
etd.thesisdegree.disciplineBusiness Administrationen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.nameMaster of Business Administrationen_US
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