Investigating Runway Incursion Incidents at United States Airports

被引:1
|
作者
Omosebi, Olajumoke [1 ]
Azimi, Mehdi [1 ]
Olowokere, David [2 ]
Wanyan, Yachi [2 ]
Zhao, Qun [1 ]
Qi, Yi [1 ]
机构
[1] Texas Southern Univ, Dept Transportat Studies, Houston, TX 77004 USA
[2] Texas Southern Univ, Dept Engn, Houston, TX 77004 USA
来源
FUTURE TRANSPORTATION | 2023年 / 3卷 / 04期
关键词
runway incursions; airport geometry; ASDE-X; RWSL; airport safety; panel model;
D O I
10.3390/futuretransp3040066
中图分类号
U [交通运输];
学科分类号
08 ; 0823 ;
摘要
According to the Federal Aviation Administration (FAA), the number of runway incursions is increasing. Over the last two decades, the number of runway incursions at U.S. airports has increased from 987 in 2002 to 25,036 in 2020. Runway incursions are a major threat to aviation safety, causing major delays and financial consequences for airlines, as well as injury or death through incidents such as aircraft collisions. The FAA promotes the implementation of runway safety technology, infrastructure, procedural methods, alterations to airport layouts, and training practices to reduce the frequency of runway incursions. In this paper, the relationship between airport geometry factors, mitigating technologies, and the number of runway incursions at large hub airports in the United States was investigated using a random effects Poisson model for analyses of panel data. Airport operations data from the FAA Air Traffic Activity System, runway incursion data from the FAA Aviation Safety Information Analysis and Sharing System from 2002 to 2020, and airport geometry data created using airport geometry features from the FAA airport diagrams were collected. Thirty large hub airports with FAA-installed mitigating technologies were investigated. The model identified significant variables that correlate with runway incursions for large hub airport categories defined by the National Plan of Integrated Airport Systems (NPIAS). The model results indicate that airports with significant numbers of runway-to-runway intersection points increase runway incursion rates and mitigating technologies Runway Status Lights (RWSLs) and Airport Surface Detection Equipment, Model X (ASDE-X), can help reduce runway incursions at severity levels A and B.
引用
收藏
页码:1209 / 1222
页数:14
相关论文
共 50 条
  • [31] EPIDEMIOLOGY OF MASS CASUALTY INCIDENTS IN THE UNITED STATES
    Schenk, Ellen
    Wijetunge, Gamunu
    Mann, N. Clay
    Lerner, E. Brooke
    Longthorne, Anders
    Dawson, Drew
    PREHOSPITAL EMERGENCY CARE, 2014, 18 (03) : 408 - 416
  • [32] Alternatives for reducing delays at the United States' busiest airports
    Rutner, SM
    Mundy, RA
    Whitaker, J
    TRANSPORTATION JOURNAL, 1997, 36 (03) : 18 - 25
  • [33] 'Runway mix' a factor in LaGuardia incidents
    Fiorino, F
    AVIATION WEEK & SPACE TECHNOLOGY, 2000, 152 (26): : 72 - 72
  • [34] An analysis of the operational efficiency of major airports in the United States
    Sarkis, J
    JOURNAL OF OPERATIONS MANAGEMENT, 2000, 18 (03) : 335 - 351
  • [35] `Runway mix' a factor in LaGuardia incidents
    Aviation Week and Space Technology (New York), 2000, 152 (26):
  • [36] INCIDENTS OF EPIDEMIOLOGICAL SIGNIFICANCE AT INTERCONTINENTAL AIRPORTS
    STEFFEN, R
    SOMAINI, B
    GUBSER, A
    THERAPEUTISCHE UMSCHAU, 1985, 42 (01) : 12 - 16
  • [37] Conformal geometric algebraic description of runway incursion and conflict detection
    Jiao W.
    Wang R.
    Yao J.
    Pang Y.
    Hangkong Xuebao/Acta Aeronautica et Astronautica Sinica, 2022, 43 (05):
  • [38] Runway Incursion Risk Assessment Based on the Monte Carlo Method
    Zhang, Z. N.
    Zhang, Y. Q.
    Gao, Z.
    INTERNATIONAL CONFERENCE ON ADVANCES IN MANAGEMENT ENGINEERING AND INFORMATION TECHNOLOGY (AMEIT 2015), 2015, : 716 - 723
  • [39] Research on early runway incursion warning based on Petri net
    Tang, Xinmin
    Ji, Xiaoqi
    SIMULATION-TRANSACTIONS OF THE SOCIETY FOR MODELING AND SIMULATION INTERNATIONAL, 2023, 99 (05): : 503 - 514
  • [40] Runway incursion prevention system testing at the Wallops Flight Facility
    Jones, DR
    Enhanced and Synthetic Vision 2005, 2005, 5802 : 47 - 58