Exploring the Impact of Urban Built Environment on Public Emotions Based on Social Media Data: A Case Study of Wuhan
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- Minou Weijs-Perrée & Gamze Dane & Pauline van den Berg, 2020. "Analyzing the Relationships between Citizens’ Emotions and their Momentary Satisfaction in Urban Public Spaces," Sustainability, MDPI, vol. 12(19), pages 1-20, September.
- Zhongqiong Qu & Yiming Lu & Zhiqiu Jiang & Ellen Bassett & Tao Tan, 2018. "A Psychological Approach to ‘Public Perception’ of Land-Use Planning: A Case Study of Jiangsu Province, China," Sustainability, MDPI, vol. 10(9), pages 1-20, August.
- Rachida Benabbou & HeeChung Lee, 2019. "Exploring the evolution of urban emotions in the City of Seoul using social media information," International Journal of Knowledge-Based Development, Inderscience Enterprises Ltd, vol. 10(3), pages 232-248.
- Helen Roberts & Bernd Resch & Jon Sadler & Lee Chapman & Andreas Petutschnig & Stefan Zimmer, 2018. "Investigating the Emotional Responses of Individuals to Urban Green Space Using Twitter Data: A Critical Comparison of Three Different Methods of Sentiment Analysis," Urban Planning, Cogitatio Press, vol. 3(1), pages 21-33.
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- Shuhao Liu & Chang Su & Junhua Zhang & Shiro Takeda & Jiarui Liu & Ruochen Yang, 2023. "Cross-Cultural Comparison of Urban Green Space through Crowdsourced Big Data: A Natural Language Processing and Image Recognition Approach," Land, MDPI, vol. 12(4), pages 1-27, March.
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- Zijing Ye & Ruisi Li & Jing Wu, 2022. "Dynamic Demand Evaluation of COVID-19 Medical Facilities in Wuhan Based on Public Sentiment," IJERPH, MDPI, vol. 19(12), pages 1-22, June.
- Mingyuan Chang & Longyang Huang & Tianlin Zhai & Jiawei Zhu & Yuanbo Ma & Ling Li & Chenchen Zhao, 2023. "A Challenge of Sustainable Urbanization: Mapping the Equity of Urban Public Facilities in Multiple Dimensions in Zhengzhou, China," Land, MDPI, vol. 12(8), pages 1-22, August.
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Keywords
public emotions; urban built environment; social media data; dynamic traffic influencing factors; geographically weighted regression;All these keywords.
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