Using Social Media Text Data to Analyze the Characteristics and Influencing Factors of Daily Urban Green Space Usage—A Case Study of Xiamen, China

Using Social Media Text Data to Analyze the Characteristics and Influencing Factors of Daily Urban Green Space Usage—A Case Study of Xiamen, China

While urban green spaces (UGSs) are important places for residents’ leisure activities, studies describing the long-term daily UGS usage of residents (including the total number of activities, the types of activities, and the touring experience) have not been conducted due to difficulties in data co...

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Bibliographic Details
Main Authors: Chenjing Fan, Shiqi Li, Yuxin Liu, Chenxi Jin, Lingling Zhou, Yueying Gu, Zhenyu Gai, Runhan Liu, Bing Qiu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Forests
Subjects:
social media text data
optional activity
social activity
urban form
nighttime lighting
Online Access:https://www.mdpi.com/1999-4907/14/8/1569

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https://www.mdpi.com/1999-4907/14/8/1569

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