Using extended hazard regression model to assess the probability of aviation event

被引：6

作者：

Shyur, Huan-Jyh ^{[1
]}

Keng, Hwa ^{[2
]}

Ia-Ka, I. ^{[1
]}

Huang, Cheng-Lung ^{[3
]}

机构：

[1] Tamkang Univ, Dept Informat Management, Taipei, Taiwan

[2] Tamkang Univ, Dept Mech & Electromech Engn, Taipei, Taiwan

[3] Natl Kaohsiung First Univ Sci & Technol, Dept Informat Management, Kaohsiung, Taiwan

来源：

APPLIED MATHEMATICS AND COMPUTATION | 2012年 / 218卷 / 21期

关键词：

Risk assessment; Aviation safety; Proportional hazards; Extended hazard regression; RISK-ASSESSMENT; SURVIVAL-DATA; SAFETY;

D O I：

10.1016/j.amc.2012.04.029

中图分类号：

O29 [应用数学];

学科分类号：

070104 ;

摘要：

Flight safety has always been the major attention subject in civil aviation in view of the rapid and continuous growth in air transportation traffic volume. The Airline Safety Assessment System, which is currently under development by the Taiwan Civil Aeronautics Administration (CAA), will contain indicators of airline safety performance that can identify potential problem areas for inspectors. The objective of this research is to develop an analytic method that uses data on both accident and performance measures to analyze potential aviation event. The extended hazard regression (EHR) model was conducted to assess the probability of aviation event and analyze how the probability may be affected by airline safety performance. We investigated and demonstrated its applicability in a practical case study. (C) 2012 Elsevier Inc. All rights reserved.

引用

页码：10647 / 10655

页数：9

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