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Do social media data indicate visits to tourist attractions? A case study of Shanghai, China

Huilin Liang (Nanjing Forestry University, Nanjing, China)
Qingping Zhang (Nanjing Forestry University, Nanjing, China)

Open House International

ISSN: 0168-2601

Article publication date: 28 September 2021

Issue publication date: 14 February 2022

283

Abstract

Purpose

Can Chinese social media data (SMD) be used as an alternative to traditional surveys used to understand tourists' visitation of attractions in Chinese cities? The purpose of this paper is to explore this question.

Design/methodology/approach

Popular tourism SMD sources in China, such as Ctrip, Weibo and Dazhong Dianping (DZDP), were used as data source, and the relationships between these sources and traditional data sources were studied with statistical methods. Data from Shanghai were used in this study since it is rich in tourism resources and developed in information.

Findings

A systematic research method was followed and led to the following conclusions: There were positive correlations for attraction visitation between Chinese SMD and traditional survey data; Chinese SMD source could temporally indicate visits to Shanghai tourist attractions; Ctrip SMD generally performed less well than Weibo or DZDP, and different SMD performed differently depending on the specific attractions and time units in the visitation calculation process; and factors including visitation, distance from the city center and the grade of attractions might affect the prediction performance based on data from the SMD. The findings suggest that Chinese SMD could be used as a cost-efficient and reliable proxy for traditional survey data to predict Chinese attraction visitation.

Originality/value

This study applies and improves the methods of SMD reliability in attraction use studies, supplies the gap for premise, basis and foundation for the large amounts of tourism researches using SMD in China and could promote and inspire more efficient and advanced measures in tourism management and urban development.

Keywords

Acknowledgements

Funded by National Natural Science Foundation of China (51908290), the Natural Science Foundation of the Jiangsu Higher Education Institutions of China (19KJB220008) and the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

Citation

Liang, H. and Zhang, Q. (2022), "Do social media data indicate visits to tourist attractions? A case study of Shanghai, China", Open House International, Vol. 47 No. 1, pp. 17-35. https://doi.org/10.1108/OHI-05-2021-0110

Publisher

:

Emerald Publishing Limited

Copyright © 2021, Emerald Publishing Limited

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