London Met Repository

Google Trends and Baidu index data in tourism demand forecasting: a critical assessment of recent applications

Lists

Tools

Mikulić, Josip and Baumgärtner, Regina M. (2025) Google Trends and Baidu index data in tourism demand forecasting: a critical assessment of recent applications. Tourism Management, 110 (105164). pp. 1-5. ISSN 0261-5177

Abstract
Documents
Details
Record

[+][-]

Abstract

The application of search query (SQ) data in tourism demand forecasting is an intriguing area of ongoing research. The present research note aims to (i) critically examine recent studies from leading tourism journals using SQ data for demand forecasting, (ii) synthesize the prevailing key problems, limitations and challenges in the studies, and (iii) provide recommendations emerging from the critical assessment of literature to help improve the quality of future SQ-data-based tourism forecasting research.

Documents

10132:51785

[+][-]

10132:51785

[thumbnail of R3_SQ_forecasting_critical_note.pdf]

R3_SQ_forecasting_critical_note.pdf - Accepted Version
Restricted to Repository staff only until 25 February 2028.
Available under License Creative Commons Attribution Non-commercial No Derivatives 4.0.

Download (329kB) | Request a copy

Details

Title:

Google Trends and Baidu index data in tourism demand forecasting: a critical assessment of recent applications

Creators:

Mikulić, Josip and Baumgärtner, Regina M.

Identification Number:

10.1016/j.tourman.2025.105164

Official URL:

https://doi.org/10.1016/j.tourman.2025.105164

Date:

October 2025