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An empirical study on system dynamics model for sustainable development of air traffic control units

Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
With the rapid growth of flight volume, the contradiction between insufficient support capability of air traffic control (ATC) units and large demand for development ultimately hinders their sustainable and safe development. The article aims at the leverage point of the contradiction between supply and demand so as to provide scientific safety policies. Based on the system archetype "growth and underinvestment", from the perspective of the feedback relationships between support capability, safety, and development, the causality of the dynamic factors of control, communication, navigation, and surveillance, as well as meteorology and information subsystems was studied. Then, a system dynamics model for the sustainable and safe development of ATC units was established. Taking the Tianjin ATC sub-bureau as an example, policy suggestions for sustainable and safe development were put forward according to the scenario simulation results.
Rocznik
Strony
101--116
Opis fizyczny
Bibliogr. 23 poz., rys., tab., wykr.
Twórcy
autor
  • College of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
autor
  • College of Economics and Management, Civil Aviation University of China, Tianjin 300300, China
  • Shandong Airlines CO., LTD., Shandong 250000, China
Bibliografia
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  • [2] Galvin JJ. Air Traffic Control Resource Management Strategies and the Small Aircraft Transportation System: A System Dynamics Perspective [PhD Thesis]. Blacksburg: Virginia Polytechnic Institute & State University; 2002. Available from: https://www.researchgate.net/publication/242281854_Air_traffic_control_resource_management_strategies_and_the_small_aircraft_transportation_system_A_system_dynamics_perspective.
  • [3] Kistan T, Gardi A, Sabatini R, Ramasamy S, Batuwangala E. An evolutionary outlook of air traffic flow management techniques. Prog Aerosp Sci. 2017;88:15-42. DOI: 10.1016/j.paerosci.2016.10.001.
  • [4] Cooke DL, Rohleder TR. Learning from incidents: from normal accidents to high reliability. Syst Dyn Rev. 2006;22(3):27. DOI: 10.1002/sdr.338.
  • [5] Chen F, Liu LL. Research on safety services capability model for ATC service in ATM division. Energy Procedia. 2012;17(1):1369-75. DOI: 10.1016/j.egypro.2012.02.254.
  • [6] Forrester JW. System dynamics, systems thinking, and soft OR. Syst Dyn Rev. 1994;10(2-3):245-56. DOI: 10.1002/sdr.4260100211.
  • [7] Forrester JW. System dynamics - a personal view of the first fifty years. Syst Dyn Rev. 2007;23(2‐3):345-58. DOI: 10.1002/sdr.382.
  • [8] Bouloiz H, Garbolino E, Tkiouat M, Guarnieri F. A system dynamics model for behavioral analysis of safety conditions in a chemical storage unit. Safety Sci. 2013;58:32-40. DOI: 10.1016/j.ssci.2013.02.013.
  • [9] Han SU, Saba F, Lee SH, Y Mohamed, Peña-Mora F. Toward an understanding of the impact of production pressure on safety performance in construction operations. Accid Anal Prev. 2014;68(1):106-16. DOI: 10.1016/j.aap.2013.10.007.
  • [10] Vafa-Arani H, Jahani S, Dashti H, Heydari J, Moazen S. A system dynamics modeling for urban air pollution: A case study of Tehran, Iran. Transportation Res Part D: Transport Environ. 2014;31(31):21-36. DOI: 10.1016/j.trd.2014.05.016.
  • [11] Yao H, Shen L, Tan Y, Hao J. Simulating the impacts of the policy scenarios on the sustainability performance of infrastructure projects. Automat Constr. 2011;20(8):1060-9. DOI: 10.1016/j.autcon.2011.04.007.
  • [12] Shin M, Lee HS, Park M, Moon M, Han S. A system dynamics approach for modeling construction workers’ safety attitudes and behaviors. Accid Anal Prev. 2014;68(2):95-105. DOI: 10.1016/j.aap.2013.09.019.
  • [13] Suryani E, Chou SY, Hartono R, Chen CH. Demand scenario analysis and planned capacity expansion: A system dynamics framework. Simul Modelling Practice Theory. 2010;18(6):732-51. DOI: 10.1016/j.simpat.2010.01.013.
  • [14] Lyneis JM. System dynamics for market forecasting and structural analysis. Syst Dyn Rev. 2000;16(1):3-25. DOI: 10.1002/(sici)1099-1727(200021)16:1<3::aid-sdr183>3.0.co;2-5.
  • [15] Peter S. The fifth discipline. The United States: Random House Audio; 1999. ISBN: 9780553456349.
  • [16] Sama M, D’Ariano A, D’Ariano P, Pacciarelli D. Optimal aircraft scheduling and routing at a terminal control area during disturbances. Transportation Res Part C: Emer Technol. 2014;47:61-85. DOI: 10.1016/j.trc.2014.08.005.
  • [17] Loft S, Sanderson P, Neal A, Mooij M. Modeling and predicting mental workload in en route air traffic control: critical review and broader implications. Hum Factors. 2007;49(3):376-99. DOI: 10.1518/001872007x197017.
  • [18] Pandey MM, Shukla D, Graham A. Evaluating the human performance factors of air traffic control in Thailand using Fuzzy Multi Criteria Decision Making method. J Air Transp Manage. 2019;8:101708. DOI: 10.1016/j.jairtraman.2019.101708.
  • [19] Mearns K, Kirwan B, Reader TW, Jackson J, Kennedy R, Gordon R. Development of a methodology for understanding and enhancing safety culture in Air Traffic Management. Safety Sci. 2013;53:123-33. DOI: 10.1016/j.ssci.2012.09.001.
  • [20] Chang YH, Yeh CH. Human performance interfaces in air traffic control. Appl Ergon. 2010;41(1):123-9. DOI: 10.1016/j.apergo.2009.06.002.
  • [21] Subotic B, Ochieng WY, Straeter O. Recovery from equipment failures in ATC: Determination of contextual factors. Reliab Eng Syst Saf. 2007;92(7):858-70. DOI: 10.1016/j.ress.2006.04.023.
  • [22] Ali BS, Majumdar A, Ochieng WY, Schuster W, Chiew TK. A causal factors analysis of aircraft incidents due to radar limitations: The Norway case study. J Air Transp Manage. 2015;44-45:103-9. DOI: 10.1016/j.jairtraman.2015.03.004.
  • [23] Sterman JD. Systems simulation. Expectation formation in behavioral simulation models. Syst Res Behav Sci. 1987;32(3):190-211. DOI: 10.1002/bs.3830320304.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2021).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-1e6ff5c5-9735-46c6-9ca6-0ec93f117fd3
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