Modeling Seasonality in Tourism Forecasting

By N. Kulendran, Kevin K. F. Wong. 2005

136 citations recorded by the source corpus.

Subfields: Management Science and Operations Research, Tourism, Leisure and Hospitality Management

View Paper: https://www.semanticscholar.org/paper/7d330442b29b519d50e3b85efa5eff628e7d85ba

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Management Science and Operations Research

1. Gang Li
2. Haiyan Song
3. Pritee Ray
4. Ratri Parida
5. Sanjita Jaipuria
6. Kevin K. F. Wong
7. D. Wu
8. Shujie Shen

In Tourism, Leisure and Hospitality Management

1. Haiyan Song
2. Gang Li
3. Kevin K. F. Wong
4. Pritee Ray
5. Ratri Parida
6. Sanjita Jaipuria
7. D. Wu
8. Stephen F. Witt

Citations in the corpus

• Spatial Distribution of Tourist Flows to China's Cities (2013, background): “Since seasonal fluctuation is common in tourist flows (Kulendran & Wong 2005 ), the hot-spot areas of tourist flows tend to be distinct across different seasons.”
• The impact of COVID-19 on tourism sector in India (2020, methodology): “The time-series ARIMA model is univariate model and applicable to stationary and homoscedastic data series.”
• Tourism demand modelling and forecasting—A review of recent research (2008, background): “Kulendran and Wong (2005) also challenged the power of the HEGY test in the model selection process.”