Forecasting air travel demand : looking at China
(eBook)

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Published
Abingdon, Oxon ; Routledge, 2018.
Format
eBook
ISBN
1351215477, 1351215485, 1351215493, 1351215507, 9781351215473, 9781351215480, 9781351215497, 9781351215503
Physical Desc
1 online resource
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Language
English

Notes

Bibliography
Includes bibliographical references and index.

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Citations

APA Citation, 7th Edition (style guide)

Zheng, Y., Lai, K. K., & Wang, S. (2018). Forecasting air travel demand: looking at China . Routledge.

Chicago / Turabian - Author Date Citation, 17th Edition (style guide)

Zheng, Yafei, Kin Keung, Lai and Shouyang Wang. 2018. Forecasting Air Travel Demand: Looking At China. Routledge.

Chicago / Turabian - Humanities (Notes and Bibliography) Citation, 17th Edition (style guide)

Zheng, Yafei, Kin Keung, Lai and Shouyang Wang. Forecasting Air Travel Demand: Looking At China Routledge, 2018.

MLA Citation, 9th Edition (style guide)

Zheng, Yafei,, Kin Keung Lai, and Shouyang Wang. Forecasting Air Travel Demand: Looking At China Routledge, 2018.

Note! Citations contain only title, author, edition, publisher, and year published. Citations should be used as a guideline and should be double checked for accuracy. Citation formats are based on standards as of August 2021.

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Grouped Work ID
ef4a2018-c717-d366-7a5f-9b5ceb1baa0c-eng
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Grouped Work IDef4a2018-c717-d366-7a5f-9b5ceb1baa0c-eng
Full titleforecasting air travel demand looking at china
Authorzheng yafei
Grouping Categorybook
Last Update2024-10-04 13:10:14PM
Last Indexed2024-10-05 07:22:50AM

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Last UsedOct 10, 2024

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First DetectedJul 29, 2024 04:03:23 PM
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5050 |a Introduction -- Existing research -- Theoretical basis : TEI@I methodology -- Scientometric analysis of demand forecasting (1975-2015): a visual description -- An integrated short-term forecasting framework with empirical mode decomposition method -- A novel seasonal decomposition-based short-term forecasting framework with Google trends data -- A medium-term demand forecasting method based on stochastic frontier analysis and model average -- Long-term air travel demand forecasting: an integrated method with ARDL bounds testing approach and scenario planning -- Conclusion and future research.
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