Examination of experience attributes of parks in urban tourist destinations and their influence on visitor satisfaction: a topic modelling approach DOI
Zongwei Hu, Jian Ming Luo, G. Christina

et al.

Leisure Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Aug. 22, 2024

Understanding visitors' park experience in urban tourist destinations to enhance their satisfaction is crucial for effective management and planning. Through a topic modelling analysis using user-generated data from TripAdvisor employing the Latent Dirichlet Allocation (LDA) algorithm, 20 attributes of are identified grouped into three categories five dimensions. Besides confirming some previous research, this study also uncovers new that provide insights related historical cultural aspects (e.g. filming location, carriage rides rickshaws). Furthermore, positive negative effects each attribute on visitor identified. Findings suggest significant seasonal difference experience.

Language: Английский

Exploring the experience attributes of intangible cultural heritage through big data analytics DOI
Jian Ming Luo, Zongwei Hu, Wai Yie Leong

et al.

Journal Of Vacation Marketing, Journal Year: 2025, Volume and Issue: unknown

Published: March 17, 2025

Intangible cultural heritage, such as flamenco, renders destination marketing distinctive and enhances individuals’ psychological physical attachment to the destination. Consequently, understanding experiential attributes of intangible heritage is essential. Although numerous studies have examined empirical properties user-generated content, often referred ‘collective intelligence,’ has not been utilized investigate these properties. This study analyzed content through Latent Dirichlet allocation identify nine heritage. Drawing on social identity theory, this heterogeneity experience among domestic international tourists. Furthermore, investigated emotional analysis correlation between satisfaction. The results integrate theory into domain tourism, offering new insights contributing both theoretical practical implications within field.

Language: Английский

Citations

0

Examination of experience attributes of parks in urban tourist destinations and their influence on visitor satisfaction: a topic modelling approach DOI
Zongwei Hu, Jian Ming Luo, G. Christina

et al.

Leisure Studies, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 16

Published: Aug. 22, 2024

Understanding visitors' park experience in urban tourist destinations to enhance their satisfaction is crucial for effective management and planning. Through a topic modelling analysis using user-generated data from TripAdvisor employing the Latent Dirichlet Allocation (LDA) algorithm, 20 attributes of are identified grouped into three categories five dimensions. Besides confirming some previous research, this study also uncovers new that provide insights related historical cultural aspects (e.g. filming location, carriage rides rickshaws). Furthermore, positive negative effects each attribute on visitor identified. Findings suggest significant seasonal difference experience.

Language: Английский

Citations

3