Abstract
The overall dynamics of an airport are multifaceted and very complex. With the ever increasing number of visitors everyday it is important to understand their behaviour. In this paper we present a new macroscopic system dynamics model of the overall workings of a generic airport. The model follows passengers through to the gates modeling various different behaviors on the way there. It also includes implicitly the fleet composition, the number of lanes and explicitly the impact on the noise level. Extra effort was taken to allow for the inherent stochasticity of many of these multi-layered processes. To make it more flexible on- and off-peak times are implemented as well. Moreover random extreme events in the form of emergency landings and heightened security levels have been included. First results provide insight to the change in system behavior under these circumstances.
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Notes
- 1.
According to http://data.worldbank.org/indicator/IS.AIR.PSGR.
References
Bießlich, P., Schröder, M., Gollnick, V., Lütjens, K.: A system dynamics approach to airport modeling. In: 14th AIAA Aviation Technology, Integration, and Operations Conference, p. 2159 (2014)
Ezell, B.C., Bennett, S.P., Von Winterfeldt, D., Sokolowski, J., Collins, A.J.: Probabilistic risk analysis and terrorism risk. Risk Anal. 30(4), 575–589 (2010)
Forrester, J.W.: Industrial Dynamics. M.I.T. Press, Cambridge (1961)
Grösser, S.N., Jovy, N.: Business model analysis using computational modeling: a strategy tool for exploration and decision-making. J. Manag. Control 27(1), 61–88 (2016)
Manataki, I.E., Zografos, K.G.: A generic system dynamics based tool for airport terminal performance analysis. Transp. Res. Part C: Emerg. Technol. 17(4), 428–443 (2009)
Sterman, J.D.: Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin/McGraw-Hill, Boston (2000)
Suryani, E., Chou, S., Chen, C.: Air passenger demand forecasting and passenger terminal capacity expansion: a system dynamics framework. Expert Syst. Appl. 37(3), 2324–2339 (2010)
Wu, P.P., Mengersen, K.: A review of models and model usage scenarios for an airport complex system. Transp. Res. Part A: Policy Pract. 47, 124–140 (2013)
Acknowledgements
We want to thank Andreas Tahedl, Michael Rampetsreiter, Jan-Peter Neutert and Martin Weiderer for constructing a first version of the model during their work with our group.
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Barbeito, G., Moll, M., Pickl, S., Zsifkovits, M. (2018). A Macroscopic System Dynamics Model for a Generic Airport. In: Fink, A., Fügenschuh, A., Geiger, M. (eds) Operations Research Proceedings 2016. Operations Research Proceedings. Springer, Cham. https://doi.org/10.1007/978-3-319-55702-1_74
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DOI: https://doi.org/10.1007/978-3-319-55702-1_74
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