The interaction between human demand and urban greenspace supply for promoting positive emotions with sentiment analysis from twitter

《The interaction between human demand and urban greenspace supply for promoting positive emotions with sentiment analysis from twitter》

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作者: Shanshan Chen;Lin Liu;Cheng Chen;Dagmar Haase

来源: URBAN FORESTRY & URBAN GREENING,Vol.78,Issue1,Article 127763

语言: 英文

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作者单位: Humboldt Universität zu Berlin, Institute of Geography, Germany;Central China Normal University, National Engineering Research Center for E-Learning, China;Leibniz Centre for Agricultural Landscape Research (ZALF), Working Group on Governance of Ecosystem Services, Germany;Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, Germany;Humboldt Universität zu Berlin, Institute of Geography, Germany;Central China Normal University, National Engineering Research Center for E-Learning, China;Leibniz Centre for Agricultural Landscape Research (ZALF), Working Group on Governance of Ecosystem Services, Germany;Helmholtz Centre for Environmental Research - UFZ, Department of Computational Landscape Ecology, Germany

摘要: Urban greenspace (UGS) plays an essential role in providing benefits to human well-being in cities. Understanding how to promote positive emotions is vital for planning and designing a UGS supply that satisfies human demand. However, little is known about the impact on human emotions of the interaction of cross-cultural demands and different greenspace supplies. This study explored different human emotions about UGS from a cross-linguistics perspective using social media data (SMD). Sentiment analysis was conducted with geolocated Twitter data from 26 UGSs in Berlin to acquire sentiment value and tweet number of tweets. The sentiments of English and German tweets in four types of UGSs were compared, and the correlations with 11 physical and activity landscape characteristics were identified. The results demonstrate that (1) sentiment value and tweet number of tweets were distinctive in the 26 greenspaces, showing different emotions responding to the different types of UGS; (2) the cross-linguistic demands were different in the comparison of English and German tweets, with the highest sentiment values in gardens and parks, respectively; and (3) the sentiment of the all, English and German tweets was respectively correlated with open space, interesting plants and swimming infrastructure. The activity landscape made the highest contributions to positive emotions even with cross-cultural differences. The results of the study suggest that human emotions can indicate whether the UGS supply meets the human demand and that specific landscape characteristics can enhance positive emotions to maintain human demand in cross-cultural background, especially considering the increasing attention to immigrants and natives. Thus, human emotions identify the interaction between UGS supply and human demand based on SMD to improve UGS outcomes for urban sustainability and public well-being.