Mapping wine tourists’ spatial movement patterns in an emerging wine tourism destination: An exploratory study

This paper explores how wine tourists move in an emerging wine tourism destination and the driving mechanisms for both the demand and supply sides. Trajectories and questionnaires were obtained. Subsequently, based on two antecedent variables, wine knowledge and self-identification, wine tourists were classified into four groups. Their respective spatial movement characteristics and demographics were obtained through social network analysis, ANOVA and Chi-square tests, resulting in four final groups, namely, keen-interest wine tourists, multi-purpose wine tourists, entry-level wine tourists and hanging-out wine tourists. Interviews were conducted to determine and compare the demand-side and supply-side factors that influence the movement patterns of the four groups of wine tourists. This research represents a pioneering effort to map the spatial movement patterns of wine tourists by considering wine knowledge and self-identity. It theoretically and practically contributes to the understanding of various movement patterns in emerging wine tourism destinations.

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Publication Details

Journal
Tourism Economics
Published
2025-04-25
DOI
https://doi.org/10.1177/13548166251338363
Primary Topic
Wine Industry and Tourism
Type
article
Field-Weighted Citation Impact
0.00

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article

Mapping wine tourists’ spatial movement patterns in an emerging wine tourism destination: An exploratory study

Zijian Guo, Qiushi Gu, Minglong Li, Fengxia Shi
Tourism Economics
Wine Industry and Tourism
article

Mapping wine tourists’ spatial movement patterns in an emerging wine tourism destination: An exploratory study

Zijian Guo, Qiushi Gu, Minglong Li, Fengxia Shi
article en

Abstract

This paper explores how wine tourists move in an emerging wine tourism destination and the driving mechanisms for both the demand and supply sides. Trajectories and questionnaires were obtained. Subsequently, based on two antecedent variables, wine knowledge and self-identification, wine tourists were classified into four groups. Their respective spatial movement characteristics and demographics were obtained through social network analysis, ANOVA and Chi-square tests, resulting in four final groups, namely, keen-interest wine tourists, multi-purpose wine tourists, entry-level wine tourists and hanging-out wine tourists. Interviews were conducted to determine and compare the demand-side and supply-side factors that influence the movement patterns of the four groups of wine tourists. This research represents a pioneering effort to map the spatial movement patterns of wine tourists by considering wine knowledge and self-identity. It theoretically and practically contributes to the understanding of various movement patterns in emerging wine tourism destinations.

Tourism EconomicsVol. 31(6)
Zhongnan University of Economics and Law (CN), Chinese University of Hong Kong (HK), Xiamen University (CN), Southeast University (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 92%
Wine Industry and Tourism
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Mapping wine tourists’ spatial movement patterns in an emerging wine tourism destination: An exploratory study — Zijian Guo, Qiushi Gu, et al. · Tourism Economics (2025) | TGRS Research Map | TGRS