DocumentCode
126972
Title
Construction of airfield security risks evaluation index system based on the grey clustering
Author
Tang Xin-xin ; Luo Fan
Author_Institution
Sch. of Manage., Wuhan Univ. of Technol., Wuhan, China
fYear
2014
fDate
17-19 Aug. 2014
Firstpage
221
Lastpage
226
Abstract
In order to do the scientific and reasonable comprehensive evaluation of airfield security risks and improve airfield security capabilities, this paper analysis the expert scoring results of airfield security risk assessment indicators based on the theory of gray clustering. And it constructes airfield security risks evaluation system. The system includes four aspects of risk, human fators, equipment and facilities factors, environmental factors and management factors. 20 second grade indexes are included in the system, including the matching degree of airport staff personality and positions, airport staff working pressure and so on. The construction of security risk assessment index system provides the guidance of airfield security risks investigation. It makes a contribution to the prevention of unsafe events occur and the security enforcement improvement.
Keywords
airports; grey systems; human factors; pattern clustering; risk analysis; security; service industries; airfield security risk assessment indicators; airfield security risks evaluation index system; airport staff personality; airport staff position; environmental factors; equipment-facilities factors; grey clustering theory; human factors; management factors; second grade indexes; security enforcement improvement; security risk assessment index system; staff working pressure; unsafe event prevention; Airports; Environmental factors; Indexes; Risk management; Roads; Safety; Security; airfield; gray clustering; risk assessment; risks evaluation index system;
fLanguage
English
Publisher
ieee
Conference_Titel
Management Science & Engineering (ICMSE), 2014 International Conference on
Conference_Location
Helsinki
Print_ISBN
978-1-4799-5375-2
Type
conf
DOI
10.1109/ICMSE.2014.6930232
Filename
6930232
Link To Document