Forecasting hotel room demand using search engine data.

By Bing Pan, D. Wu, Haiyan Song. 2012

217 citations recorded by the source corpus.

Subfields: Economics and Econometrics, Marketing, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/3dceecd911bb8abb2464a70b8db2f0f609c283e4

How researchers see this paper

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

In Economics and Econometrics

1. D. Wu
2. Shujie Shen
3. Haiyan Song
4. Gang Li
5. Stephen F. Witt
6. Kevin K. F. Wong
7. G. Crouch
8. Bo Peng

In Marketing

1. Shujie Shen
2. D. Wu
3. Haiyan Song
4. Gang Li
5. Stephen F. Witt
6. G. Crouch
7. Bo Peng

In Sociology and Political Science

1. D. Wu
2. Shujie Shen
3. Haiyan Song
4. Gang Li
5. G. Crouch
6. Stephen F. Witt
7. Bo Peng
8. E. Smeral

Citations in the corpus

• New developments in tourism and hotel demand modeling and forecasting (2017, methodology): “Pan et al. (2012) used search volume data from Google Trends on five related queries to predict the demand for hotel rooms in a specific city.”