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Aviation

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Abstract

Big data plays an important role in ensuring safe airline operations and the efficient supply of air services for passengers and cargo. At the front end of the industry, it allows carriers to make maximum use of their capital and labor and to design services to closely meet customer needs. Behind the scene, it provides weather information that feed into meteorological models which provide forecasting allowing planes to take the most economical routes and to avoid serious turbulence.

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Further Readings

  • Anaman, K. A., Quaya, R., & Owusu-Brown, B. (2017). Benefits of aviation weather services: A review of the literature. Research in World Economy, 8, 45–58.

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  • Button, K. J. (2002). Airline network economics. In D. Jenkins (Ed.), Handbook of airline economics (2nd ed., pp. 27–34). New York: Aviation Week.

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  • Carrier, E., & Fiig, T. (2018). Special issue: Future of airline revenue management. Journal of Revenue and Pricing Management, 17, 45–120.

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  • Chen, J., Lyu, Z., Liu, Y., Huang, J., Zhang, G., Wang, J., & Chen, X. (2016) A big data analysis and application platform for civil aircraft health management. In 2016 IEEE Second International Conference on Multimedia Big Data (BigMM), Taipai.

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  • Hamilton, S. P., & Kreuzer, M. P. (2018). The big data imperative: Air force intelligence for the information. Air and Space Power Journal, 32, 4–18.

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Correspondence to Kenneth Button .

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Button, K. (2020). Aviation. In: Schintler, L., McNeely, C. (eds) Encyclopedia of Big Data. Springer, Cham. https://doi.org/10.1007/978-3-319-32001-4_233-1

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  • DOI: https://doi.org/10.1007/978-3-319-32001-4_233-1

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-32001-4

  • Online ISBN: 978-3-319-32001-4

  • eBook Packages: Springer Reference Business and ManagementReference Module Humanities and Social SciencesReference Module Business, Economics and Social Sciences

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