1. bookVolume 28 (2021): Issue 1 (March 2021)
    Special Issue: ECO-TECHNOLOGY AND ECO-INNOVATION FOR GREEN SUSTAINABLE GROWTH
Journal Details
License
Format
Journal
First Published
08 Nov 2011
Publication timeframe
4 times per year
Languages
English
access type Open Access

An Empirical Study on System Dynamics Model for Sustainable Development of Air Traffic Control Units

Published Online: 23 Apr 2021
Page range: 101 - 116
Journal Details
License
Format
Journal
First Published
08 Nov 2011
Publication timeframe
4 times per year
Languages
English
Abstract

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.

Keywords

[1] Arblaster M, Zhang C. Liberalisation of airport air traffic control: A case study of Spain. Transp Policy. 2020;91:38-47. DOI: 10.1016/j.tranpol.2020.03.003. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[6] Forrester JW. System dynamics, systems thinking, and soft OR. Syst Dyn Rev. 1994;10(2-3):245-56. DOI: 10.1002/sdr.4260100211. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[15] Peter S. The fifth discipline. The United States: Random House Audio; 1999. ISBN: 9780553456349. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

[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. Search in Google Scholar

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