Multi-horizon accommodation demand forecasting : A New Zealand case study
Journal article
Zhu, Min, Wu, Jinran and Wang, You-Gan. (2021). Multi-horizon accommodation demand forecasting : A New Zealand case study. International Journal of Tourism Research. 23(3), pp. 442-453. https://doi.org/10.1002/jtr.2416
Authors | Zhu, Min, Wu, Jinran and Wang, You-Gan |
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Abstract | This paper contributes to the filling of two gaps in accommodation demand forecasting: (a) the limited number of studies on the use of modern machine learning techniques to identify the dynamics of accommodation demand; and (b) the lack of understanding of comparative forecasting performance of different modelling techniques at multiple forecast horizons. We show that, as the forecast horizon increases, the performance of machine learning is stable and robust. We also find that the long short-term memory has particular advantages in long-horizon forecasting and handling data with complex structure in New Zealand. |
Keywords | accommodation demand; forecasting accuracy; machine learning |
Year | 2021 |
Journal | International Journal of Tourism Research |
Journal citation | 23 (3), pp. 442-453 |
Publisher | John Wiley and Sons Ltd (UK) |
ISSN | 1099-2340 |
Digital Object Identifier (DOI) | https://doi.org/10.1002/jtr.2416 |
Scopus EID | 2-s2.0-85092065037 |
Page range | 442-453 |
Funder | Australian Research Council (ARC) |
Publisher's version | License All rights reserved File Access Level Controlled |
Output status | Published |
Publication dates | |
Online | 05 Oct 2020 |
Publication process dates | |
Accepted | 11 Sep 2020 |
Deposited | 06 Nov 2023 |
ARC Funded Research | This output has been funded, wholly or partially, under the Australian Research Council Act 2001 |
Grant ID | DP160104292 |
CE140100049 |
https://acuresearchbank.acu.edu.au/item/8zy53/multi-horizon-accommodation-demand-forecasting-a-new-zealand-case-study
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