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ArticleForecasting turning points in tourism growth

Shui Ki Wan2018

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Articlebronze2018

Forecasting turning points in tourism growth

Shui Ki Wan · Haiyan Song

61 citations·0/0 files stored·Annals of Tourism Research

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Forecasting Techniques and Applications Diverse Aspects of Tourism Research Innovation Diffusion and Forecasting

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References

1989A New Approach to the Economic Analysis of Nonstationary Time Series and the Business Cycle 1980THE CONCEPT OF A TOURIST AREA CYCLE OF EVOLUTION: IMPLICATIONS FOR MANAGEMENT OF RESOURCES 1998Predicting U.S. Recessions: Financial Variables as Leading Indicators 1995Forecasting tourism demand: A review of empirical research 2006Support vector regression with genetic algorithms in forecasting tourism demand 2017New developments in tourism and hotel demand modeling and forecasting 2008Predicting the bear stock market: Macroeconomic variables as leading indicators 2013Predicting Hotel Demand Using Destination Marketing Organization’s Web Traffic Data

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2020Forecasting key indicators of China's inbound and outbound tourism: optimistic–pessimistic method 2020Baidu index-based forecast of daily tourist arrivals through rescaled range analysis, support vector regression, and autoregressive integrated moving average 2021Forecasting Tourism Demand With a New Time-Varying Forecast Averaging Approach 2021Attention-Based STL-BiLSTM Network to Forecast Tourist Arrival

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Year2018

Typearticle

Published2018-07-30

VenueAnnals of Tourism Research

ISSN-L0160-7383

Languageen

Citations61

Files0 public / 0

ShelfForecasting Techniques and Applications

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doi10.1016/j.annals.2018.07.010

openalex_workW2886794263

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2023

The Impact of the COVID-19 Crisis on Air Travel Demand: Some Evidence From China