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Search: subject:"Tourism Demand forecasting"
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Forecasting model
27
Prognoseverfahren
27
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26
Nachfrage
26
Tourism
25
Tourismus
25
Tourism demand forecasting
14
tourism demand forecasting
13
International tourism
6
Internationaler Tourismus
6
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5
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5
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4
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3
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2
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2
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2
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Song, Haiyan
6
Wang, Shouyang
6
Bi, Jian-Wu
4
Sun, Shaolong
4
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3
Han, Tian-Yu
3
Li, Hui
3
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3
Önder, Irem
3
Chai, Yan Qiu
2
Choi, Jeong-gil
2
Chung, Jellna
2
Hu, Mingming
2
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2
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2
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2
Pan, Bing
2
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2
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2
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2
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1
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1
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1
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Tourism economics : the business and finance of tourism and recreation
8
Tourism management : research, policies, practice
7
Journal of travel research : a quarterly publication of the Travel and Tourism Research Association
6
Asian Journal of Empirical Research
2
International Journal of Forecasting
2
Business and Economic Research : BER
1
Global Business & Finance Review (GBFR)
1
Global business and finance review
1
Information technology & tourism
1
International Journal of Business Administration
1
Journal of the Operational Research Society
1
Tourism analysis : an interdisciplinary tourism & hospitality journal
1
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ECONIS (ZBW)
27
RePEc
4
EconStor
1
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1
Can tax incentives foresee the restructuring performance of tourism firms? : an event-driven forecasting study
He, Ling-Yang
;
Li, Hui
;
Chen, Xi-Zhuo
;
Yu, Lean
- In:
Tourism management : research, policies, practice
102
(
2024
),
pp. 118
Persistent link: https://www.econbiz.de/10014457769
Saved in:
2
Collaborative forecasting of tourism demand for multiple tourist attractions with spatial dependence : a combined deep learning model
Bi, Jian-Wu
;
Han, Tian-Yu
;
Yao, Yanbo
- In:
Tourism economics : the business and finance of tourism …
30
(
2024
)
2
,
pp. 361-388
Persistent link: https://www.econbiz.de/10014580797
Saved in:
3
Fine-grained
tourism
demand
forecasting
: a decomposition ensemble deep learning model
Bi, Jian-Wu
;
Han, Tian-Yu
;
Yao, Yanbo
- In:
Tourism economics : the business and finance of tourism …
29
(
2023
)
7
,
pp. 1736-1763
Persistent link: https://www.econbiz.de/10014384540
Saved in:
4
Tourism demand with subtle seasonality : recognition and forecasting
Wang, Haiyan
;
Hu, Tao
;
Wu, Huihui
- In:
Tourism economics : the business and finance of tourism …
29
(
2023
)
7
,
pp. 1865-1889
Persistent link: https://www.econbiz.de/10014384549
Saved in:
5
Tourism
demand
forecasting
of multi-attractions with spatiotemporal grid : a convolutional block attention module model
Sun, Haodong
;
Yang, Yang
;
Chen, Yanyan
;
Liu, Xiaoming
; …
- In:
Information technology & tourism
25
(
2023
)
2
,
pp. 205-233
Persistent link: https://www.econbiz.de/10014315963
Saved in:
6
Can multi-source heterogeneous data improve the forecasting performance of tourist arrivals amid COVID-19? : mixed-data sampling approach
Wu, Jing
;
Li, Mingchen
;
Zhao, Erlong
;
Sun, Shaolong
; …
- In:
Tourism management : research, policies, practice
98
(
2023
),
pp. 1-17
Persistent link: https://www.econbiz.de/10014304475
Saved in:
7
Does the combination of models with different explanatory variables improve
tourism
demand
forecasting
performance?
Wu, Xi
;
Blake, Adam
- In:
Tourism economics : the business and finance of tourism …
29
(
2023
)
8
,
pp. 2032-2056
Persistent link: https://www.econbiz.de/10014580616
Saved in:
8
International
tourism
demand
forecasting
with machine learning models : the power of the number of lagged inputs
Bi, Jian-Wu
;
Han, Tian-Yu
;
Li, Hui
- In:
Tourism economics : the business and finance of tourism …
28
(
2022
)
3
,
pp. 621-645
Persistent link: https://www.econbiz.de/10013267939
Saved in:
9
Tourism
demand
forecasting
using tourist-generated online review data
Hu, Mingming
;
Li, Hengyun
;
Song, Haiyan
;
Li, Xin
;
Law, …
- In:
Tourism management : research, policies, practice
90
(
2022
),
pp. 1-19
Persistent link: https://www.econbiz.de/10013326619
Saved in:
10
Decomposition methods for
tourism
demand
forecasting
: a comparative study
Zhang, Chengyuan
;
Li, Mingchen
;
Sun, Shaolong
;
Tang, Ling
; …
- In:
Journal of travel research : a quarterly publication of …
61
(
2022
)
7
,
pp. 1682-1699
Persistent link: https://www.econbiz.de/10013390876
Saved in:
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