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Exploring the impact of landscape environments on tourists’ emotional fluctuations in Fujian’s Coastal National Parks using machine learning

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Vydáno v:PLoS One vol. 20, no. 8 (Aug 2025), p. e0329118
Hlavní autor: Lu, Zekun
Další autoři: Chen, Shunhe, Qiu, Chao, Chen, Rongxiang, Lin, Yuchen, Lu, Yichen, Xu, Ying
Vydáno:
Public Library of Science
Témata:
Sustainable development
Tourists
User generated content
Sustainable tourism
Emotions
Image processing
Machine learning
Semantic segmentation
Protected areas
Influence
Climate change
Tourism
Urban planning
Geography
Image analysis
Image segmentation
Social media
Mental health
National parks
Parks & recreation areas
Indexes
Data processing
Landscape architecture
Social networks
Biodiversity
Tourism development
Economic development
Underwater resources
Fluctuations
Ecotourism
Learning algorithms
Environmental quality
Environmental economics
Perceptions
Mass media images
Natural language processing
Sustainability
Islands
Emotional experiences
Segmentation
Semantics
Landscape
Economic
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Abstrakt:In recent years, the impact of landscape environments on tourists’ emotions has increasingly become a significant topic in sustainable tourism and urban planning research. However, studies on the relationship between multidimensional environmental features of Coastal National Parks and tourists’ emotions remain relatively limited. This study integrates machine learning and multi-source data to systematically explore how the landscape environments of Fujian’s Coastal National Parks influence tourists’ emotional fluctuations. Using natural language processing (NLP) techniques, sentiment indices were calculated from social media textual data, while semantic segmentation models and image analysis were employed to extract environmental feature data. The Light Gradient Boosting Machine (LightGBM) model and SHapley Additive exPlanations (SHAP) method were used to evaluate the relative importance of different environmental variables on tourists’ emotions, with the findings visualized using ArcMap. The results indicate: (1) Over the past five years, 87.06% of emotions were positive, with the highest sentiment indices observed in the Fuyao Islands, Changle, and Xiamen. (2) Greenness (0.0–0.2) and aquatic rate (0.1–0.15) had the most significant positive impacts on emotions, whereas transportation proportion and paving degree had relatively minor effects. This study provides a theoretical basis for the sustainable development of Coastal National Parks and offers practical insights for optimizing landscape planning to enhance tourists’ emotional experiences.
ISSN:1932-6203
DOI:10.1371/journal.pone.0329118
Zdroj:Health & Medical Collection