A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights

Despite the considerable efforts to alleviate problems of North Atlantic (NAT) air traffic and implementation of novel surveillance systems, oceanic errors still remain stubbornly high. The purpose of this study is to identify and examine the factors that contribute to navigation errors in the NAT R...

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Main Authors: Havle, Celal Alpay, Kılıç, Bilal
Format: Article in Journal/Newspaper
Language:unknown
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S0969699718303843
id ftrepec:oai:RePEc:eee:jaitra:v:76:y:2019:i:c:p:21-30
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spelling ftrepec:oai:RePEc:eee:jaitra:v:76:y:2019:i:c:p:21-30 2024-04-14T08:15:33+00:00 A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights Havle, Celal Alpay Kılıç, Bilal http://www.sciencedirect.com/science/article/pii/S0969699718303843 unknown http://www.sciencedirect.com/science/article/pii/S0969699718303843 article ftrepec 2024-03-19T10:29:43Z Despite the considerable efforts to alleviate problems of North Atlantic (NAT) air traffic and implementation of novel surveillance systems, oceanic errors still remain stubbornly high. The purpose of this study is to identify and examine the factors that contribute to navigation errors in the NAT Region by integrating a Fuzzy Analytic Hierarchy Process (FAHP) into the Human Factors Analysis and Classifying System (HFACS) framework for the first time to the best of our knowledge. According to the priority weights, the most important factors contributing to oceanic errors are lack of training provided by airlines, use of inappropriate routes for oceanic crossing by dispatchers, and failure to take preventive measures against oceanic errors. To mitigate the possibility of the aforementioned errors, pilots as individuals must increase their knowledge on cockpit procedures and airlines as organizations have to pay particular attention to training programs to implement appropriate preventive actions. Fuzzy AHP; Fuzzy MCDM; HFACS; Human factors; North Atlantic airspace; Organizations; Article in Journal/Newspaper North Atlantic RePEc (Research Papers in Economics)
institution Open Polar
collection RePEc (Research Papers in Economics)
op_collection_id ftrepec
language unknown
description Despite the considerable efforts to alleviate problems of North Atlantic (NAT) air traffic and implementation of novel surveillance systems, oceanic errors still remain stubbornly high. The purpose of this study is to identify and examine the factors that contribute to navigation errors in the NAT Region by integrating a Fuzzy Analytic Hierarchy Process (FAHP) into the Human Factors Analysis and Classifying System (HFACS) framework for the first time to the best of our knowledge. According to the priority weights, the most important factors contributing to oceanic errors are lack of training provided by airlines, use of inappropriate routes for oceanic crossing by dispatchers, and failure to take preventive measures against oceanic errors. To mitigate the possibility of the aforementioned errors, pilots as individuals must increase their knowledge on cockpit procedures and airlines as organizations have to pay particular attention to training programs to implement appropriate preventive actions. Fuzzy AHP; Fuzzy MCDM; HFACS; Human factors; North Atlantic airspace; Organizations;
format Article in Journal/Newspaper
author Havle, Celal Alpay
Kılıç, Bilal
spellingShingle Havle, Celal Alpay
Kılıç, Bilal
A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
author_facet Havle, Celal Alpay
Kılıç, Bilal
author_sort Havle, Celal Alpay
title A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
title_short A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
title_full A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
title_fullStr A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
title_full_unstemmed A hybrid approach based on the fuzzy AHP and HFACS framework for identifying and analyzing gross navigation errors during transatlantic flights
title_sort hybrid approach based on the fuzzy ahp and hfacs framework for identifying and analyzing gross navigation errors during transatlantic flights
url http://www.sciencedirect.com/science/article/pii/S0969699718303843
genre North Atlantic
genre_facet North Atlantic
op_relation http://www.sciencedirect.com/science/article/pii/S0969699718303843
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