Understanding Citizens’ emotion States under the Urban Livability Environment through Social Media Data: a Case Study of Wuhan

作     者：Lai CHEN Chaogui KANG Chao YANG Lai CHEN;Chaogui KANG;Chao YANG

作者机构：National Engineering Research Center for Geographic Information SystemChina University of Geosciences(Wuhan)Wuhan 430074China 

出 版 物：《Journal of Geodesy and Geoinformation Science》 (测绘学报（英文版）)

年 卷 期：2022年第5卷第2期

页      面：49-59页

学科分类：081603[工学-地图制图学与地理信息工程] 081802[工学-地球探测与信息技术] 07[理学] 08[工学] 070503[理学-地图学与地理信息系统] 0818[工学-地质资源与地质工程] 0705[理学-地理学] 0816[工学-测绘科学与技术] 

基　　金：National Key Research and Development Program of China(No.2020YFB2103402) 

主　　题：urban livability sentiment analysis Sina Weibo Analytic Hierarchy Process natural language processing Long Short-Term Memory 

摘      要：It is recognized that a city with a livable environment can bring happiness to *** this study,we explored the social media users’emotional states in their current living spaces and found out the relationship between the social media users’emotions and urban *** adopt six urban livability indicators(including education,medical services,public facilities,leisure places,employment,and transportation)to construct city livable ***,the Analytic Hierarchy Process(AHP)spatial statistic method is applied to identify and analyze the different habitable regions of Wuhan *** terms of citizen’s emotion analysis,we use Long Short-Term Memory(LSTM)neural network to analyze the Weibo text and obtain the Weibo users’sentiment *** correlation analysis of residents’emotions and city livability results shows a positive correlation between the livable city areas(i.e.,the area with higher livable ranking indices)and Weibo users’sentiment scores(with a Pearson correlation coefficient of 0.881 and P-Value of 0.004).In other words,people who post Weibo in high livability areas of Wuhan express more positive emotional ***,emotion distribution varies in different regions,which is mainly caused by people’s distribution and the diversity of the city’s functional areas.