Document Type

Journal Article

Publication Title

Journal of Destination Marketing and Management

Volume

19

Publisher

Elsevier

School

School of Business and Law

RAS ID

35610

Funders

National Science Foundation of China Key Laboratory of Spatial Data Mining & Information Sharing of the Ministry of Education, Fuzhou University

Grant Number

2019LSDMIS03

Comments

This is an Authors Accepted Manuscript version of an article published by Elsevier in Journal of Destination Marketing & Management. The published version is available at: https://doi.org/10.1016/j.jdmm.2020.100513

Gu, Q., Zhang, H., Huang, S. S., Zheng, F., & Chen, C. (2021). Tourists’ spatiotemporal behaviors in an emerging wine region: A time-geography perspective. Journal of Destination Marketing & Management, 19, article 100513. https://doi.org/10.1016/j.jdmm.2020.100513

Abstract

© 2020 Tourist spatiotemporal behavior is critical for the monitoring and planning of tourism destinations. This study focused on the tourist spatiotemporal behavior at a wine tourism destination, i.e., the eastern foot of Helan Mountain in Ningxia, traced tourist movement trajectories using a tracking app, and collected information on itineraries and tourist behavior characteristics through a questionnaire survey. A time-geographical analytical approach was used to analyze the tourist spatiotemporal movement patterns. Four spatiotemporal movement patterns were identified, and tourists’ demographic and behavioral characteristics were examined with these movement patterns. This study found that the spatial distribution of tourists was subject to the effects of spatial proximity, agglomeration, and transportation junctions. The results contribute to a better understanding of tourist behavioral characteristics under different spatiotemporal movement patterns in an emerging wine region. The implications for destination planning and marketing are discussed.

DOI

10.1016/j.jdmm.2020.100513

Creative Commons License

Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License
This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 4.0 License.

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