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