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Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts

School of Urban Design, Wuhan University, Wuhan 430072, China
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ISPRS Int. J. Geo-Inf. 2020, 9(8), 465; https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080465
Received: 22 May 2020 / Revised: 30 June 2020 / Accepted: 15 July 2020 / Published: 22 July 2020
The benefits of the natural environment in urban space have been explored in numerous studies. However, only a few statistics and studies have been conducted on the correlation between emotion and urban waterfront space, especially considering gender differences. Taking Wuhan city as an example, this study puts forward a new approach and perspective. Text emotion analysis is combined with the spatial analysis technique based on big data of social media. Based on the emotions of the public of different genders in urban space, suggestions are provided for urban planning and development from the perspective of POI (Point of Interest). The main steps are: (1) Analyzing the emotional score of Weibo texts published by citizens in the waterfront area of 21 lakes in Wuhan City; (2) exploring the public emotion characteristics of different genders in the urban waterfront; (3) classifying the waterfront according to the emotional response (score) of the public of different genders; (4) exploring the relationship between different POI types and waterfront types and proposing planning suggestions. The results of this study provide evidence for gender differences and spatial distribution of public emotions in the Wuhan waterfront area. It can help decision-makers to judge the prior protection and development direction of waterfront space, thus demonstrating the feasibility of this approach. View Full-Text
Keywords: waterfronts; gender differences; emotions; social media; big data waterfronts; gender differences; emotions; social media; big data
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MDPI and ACS Style

Ma, Y.; Ling, C.; Wu, J. Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts. ISPRS Int. J. Geo-Inf. 2020, 9, 465. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080465

AMA Style

Ma Y, Ling C, Wu J. Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts. ISPRS International Journal of Geo-Information. 2020; 9(8):465. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080465

Chicago/Turabian Style

Ma, Yue, Changlong Ling, and Jing Wu. 2020. "Exploring the Spatial Distribution Characteristics of Emotions of Weibo Users in Wuhan Waterfront Based on Gender Differences Using Social Media Texts" ISPRS International Journal of Geo-Information 9, no. 8: 465. https://0-doi-org.brum.beds.ac.uk/10.3390/ijgi9080465

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