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Improving Aviation Safety through Modeling Accident Risk Assessment of Runway

Author

Listed:
  • Yaser Yousefi

    (School of Civil Engineering, Iran University of Science and Technology, Tehran P.O. Box 16765-163, Iran)

  • Nader Karballaeezadeh

    (Faculty of Civil Engineering, Shahrood University of Technology, Shahrood P.O. Box 3619995161, Iran
    Department of Elite Relations with Industries, Khorasan Construction Engineering Organization, Mashhad P.O. Box 9185816744, Iran)

  • Dariush Moazami

    (Department of Civil Engineering, Faculty of Montazeri, Khorasan Razavi Branch, Technical and Vocational University (TVU), Mashhad P.O. Box 9176994594, Iran)

  • Amirhossein Sanaei Zahed

    (Department of Elite Relations with Industries, Khorasan Construction Engineering Organization, Mashhad P.O. Box 9185816744, Iran
    Toos Institute of Higher Education, Khorasan Razavi, Mashhad P.O. Box 9188911111, Iran)

  • Danial Mohammadzadeh S.

    (Department of Elite Relations with Industries, Khorasan Construction Engineering Organization, Mashhad P.O. Box 9185816744, Iran
    Department of Civil Engineering, Faculty of Montazeri, Khorasan Razavi Branch, Technical and Vocational University (TVU), Mashhad P.O. Box 9176994594, Iran
    Department of Civil Engineering, Ferdowsi University of Mashhad, Mashhad P.O. Box 9177948974, Iran
    Department of Civil Engineering, Mashhad Branch, Islamic Azad University, Mashhad P.O. Box 9187147578, Iran)

  • Amir Mosavi

    (Faculty of Civil Engineering, Technische Universität Dresden, 01069 Dresden, Germany
    Institute of Research and Development, Duy Tan University, Da Nang 550000, Vietnam
    Department of Informatics, J. Selye University, 94501 Komarno, Slovakia)

Abstract

The exponential increase in aviation activity and air traffic in recent decades has raised several public health issues. One of the critical public health concerns is runway safety and the increasing demand for airports without accidents. In addition to threatening human lives, runway accidents are often associated with severe environmental and pollution consequences. In this study, a three-step approach is used for runway risk assessment considering probability, location, and consequences of accidents through advanced statistical methods. This study proposes novel models for the implementation of these three steps in Iran. Data on runway excursion accidents were collected from several countries with similar air accident rates. The proposed models empower engineers to advance an accurate assessment of the accident probability and safety assessment of airports. For in-service airports, it is possible to assess existing runways to remove obstacles close to runways if necessary. Also, the proposed models can be used for preliminary evaluations of developing existing airports and the construction of new runways.

Suggested Citation

  • Yaser Yousefi & Nader Karballaeezadeh & Dariush Moazami & Amirhossein Sanaei Zahed & Danial Mohammadzadeh S. & Amir Mosavi, 2020. "Improving Aviation Safety through Modeling Accident Risk Assessment of Runway," IJERPH, MDPI, vol. 17(17), pages 1-36, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:17:p:6085-:d:402099
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    References listed on IDEAS

    as
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    7. Olga Vorobyeva & Juraj Bartok & Peter Šišan & Pavol Nechaj & Martin Gera & Miroslav Kelemen & Volodymyr Polishchuk & Ladislav Gaál, 2020. "Assessing the Contribution of Data Mining Methods to Avoid Aircraft Run-Off from the Runway to Increase the Safety and Reduce the Negative Environmental Impacts," IJERPH, MDPI, vol. 17(3), pages 1-19, January.
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    Cited by:

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