Forecasting turning points in tourism growth
Bibliographic Data
| ID | 11235258 |
|---|---|
| Authors | Shui Ki Wan (0000-0001-6131-9830, Hong Kong Baptist University), Haiyan Song (0000-0001-6158-1222, Hong Kong Polytechnic University, corresponding author) |
| Year | 2018 |
| Volume | 72 |
| Pages | 156-167 |
| Publication date | 2018-09-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Annals of Tourism Research (JOURNAL) |
| Journal identifiers | ISSN: 0160-7383 • E-ISSN: 1873-7722 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.annals.2018.07.010 |
| OpenAlex | W2886794263 |
| Language | EN |
| Citations received | 23 |
| References cited | 30 |
Demand forecasting · Econometrics · Economics · Geography · Logistic regression · Machine learning · Operations management · Operations research · Predictive power · Quadratic equation · Quality (philosophy · Tourism · Computer Science · Diverse Aspects of Tourism Research · Forecasting Techniques and Applications · Mathematics · Wine Industry and Tourism
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A review of research on tourism demand forecasting
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Asymmetric effects of third-country exchange rate risk
Modelling’ UK tourism demand using fashion retail sales
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Group pooling for deep tourism demand forecasting
The Impact of the Covid-19 Crisis on Air Travel Demand
New developments in tourism and hotel demand modeling and forecasting
A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle
Forecasting tourism demand
Predicting U.S. Recessions
Tourist arrival forecasting by evolutionary fuzzy systems
Tourism forecast combination using the Cusum technique
Measures of forecasting accuracy — turning point error v size of error
Support vector regression with genetic algorithms in forecasting tourism demand
Forecasting U.S. Tourist arrivals using optimal Singular Spectrum Analysis
Combination forecasts of International tourism demand
The Tourism Area Lifecycle and Regime Switching Models
The Concept of a Tourist Area Cycle of Evolution
| Unique citing works | 23 |
|---|---|
| Citations per year | 3,29 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 22 |