<p>Heritage parks preserve cultural heritage while contributing to education, recreation, and sustainable urban development. However, the relationships between landscape elements and visitors' emotional responses remain underexplored. This study aims to bridge this gap by analysing social media reviews to understand how various landscape elements in heritage parks influence emotional experiences, offering insights for enhancing park services and promoting practical cultural heritage preservation. Using data from 63,288 visitor reviews (2018–2023) across five major social media platforms, this research focuses on five heritage parks in Xi'an as case studies. By employing latent Dirichlet allocation (LDA) topic modelling, sentiment analysis, and social network analysis (SNA), we identified five key categories of landscape elements: cultural landscapes, biological and natural environments, framework and service facilities, special activities, and architecture and infrastructure. Sentiment analysis revealed that cultural landscapes elicited the highest positive emotional response score (64.9%), reflecting their historical and aesthetic significance. Framework and service facilities had the highest emotional intensity score (8.09), emphasising their functional role in enhancing visitor satisfaction. In contrast, the biological and natural environments presented weaker emotional appeal (6.86). This study provides a novel framework linking emotional responses to specific landscape features, offering practical guidance for optimising heritage park management and supporting the preservation and promotion of cultural heritage.</p>

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Emotional and semantic analysis of landscape elements in heritage parks: insights from social media data on visitor perception

  • SiYi Ren,
  • Xiaolong Chen

摘要

Heritage parks preserve cultural heritage while contributing to education, recreation, and sustainable urban development. However, the relationships between landscape elements and visitors' emotional responses remain underexplored. This study aims to bridge this gap by analysing social media reviews to understand how various landscape elements in heritage parks influence emotional experiences, offering insights for enhancing park services and promoting practical cultural heritage preservation. Using data from 63,288 visitor reviews (2018–2023) across five major social media platforms, this research focuses on five heritage parks in Xi'an as case studies. By employing latent Dirichlet allocation (LDA) topic modelling, sentiment analysis, and social network analysis (SNA), we identified five key categories of landscape elements: cultural landscapes, biological and natural environments, framework and service facilities, special activities, and architecture and infrastructure. Sentiment analysis revealed that cultural landscapes elicited the highest positive emotional response score (64.9%), reflecting their historical and aesthetic significance. Framework and service facilities had the highest emotional intensity score (8.09), emphasising their functional role in enhancing visitor satisfaction. In contrast, the biological and natural environments presented weaker emotional appeal (6.86). This study provides a novel framework linking emotional responses to specific landscape features, offering practical guidance for optimising heritage park management and supporting the preservation and promotion of cultural heritage.