TY - JOUR
T1 - Urban greenspace helps ameliorate people's negative sentiments during the COVID-19 pandemic
T2 - The case of Beijing
AU - Guo, Xuan
AU - Tu, Xingyue
AU - Huang, Ganlin
AU - Fang, Xuening
AU - Kong, Lingqiang
AU - Wu, Jianguo
N1 - Funding Information:
This work was supported by the Chinese Ministry of Science and Technology through the National Basic Research Program of China ( 2014CB954302 , 2014CB954303 ). We thank Dr. Ruizhi Tang for providing advice on data preparation and collection. We appreciate the constructive suggestions from the anonymous reviewers.
Publisher Copyright:
© 2022 Elsevier Ltd
PY - 2022/9
Y1 - 2022/9
N2 - The COVID-19 pandemic has had negative effects on people's mental health worldwide, especially for those who live in large cities. Studies have reported that urban greenspace may help lessen these adverse effects, but more research that explicitly considers urban landscape pattern is needed to understand the underlying processes. Thus, this study was designed to examine whether the resident sentiments in Beijing, China changed before and during the pandemic, and to investigate what urban landscape attributes – particularly greenspace – might contribute to the sentiment changes. We conducted sentiment analysis based on 25,357 geo-tagged microblogs posted by residents in 51 neighborhoods. We then compared the resident sentiments in 2019 (before the COVID-19) with those in 2020 (during the COVID-19) using independent sample t-tests, and examined the relationship between resident sentiments and urban greenspace during the COVID-19 pandemic phases using stepwise regression. We found that residents' sentiments deteriorated significantly from 2019 to 2020 in general, and that urban sentiments during the pandemic peak times showed an urban-suburban trend that was determined either by building density or available greenspace. Although our analysis included several other environmental and socioeconomic factors, none of them showed up as a significant factor. Our study suggests the effects of urban greenspace and building density on residents' sentiments increased during the COVID-19 pandemic and that not all green spaces are equal. Increasing greenspace, especially within and near neighborhoods, seems critically important to helping urban residents to cope with public health emergencies such as global pandemics.
AB - The COVID-19 pandemic has had negative effects on people's mental health worldwide, especially for those who live in large cities. Studies have reported that urban greenspace may help lessen these adverse effects, but more research that explicitly considers urban landscape pattern is needed to understand the underlying processes. Thus, this study was designed to examine whether the resident sentiments in Beijing, China changed before and during the pandemic, and to investigate what urban landscape attributes – particularly greenspace – might contribute to the sentiment changes. We conducted sentiment analysis based on 25,357 geo-tagged microblogs posted by residents in 51 neighborhoods. We then compared the resident sentiments in 2019 (before the COVID-19) with those in 2020 (during the COVID-19) using independent sample t-tests, and examined the relationship between resident sentiments and urban greenspace during the COVID-19 pandemic phases using stepwise regression. We found that residents' sentiments deteriorated significantly from 2019 to 2020 in general, and that urban sentiments during the pandemic peak times showed an urban-suburban trend that was determined either by building density or available greenspace. Although our analysis included several other environmental and socioeconomic factors, none of them showed up as a significant factor. Our study suggests the effects of urban greenspace and building density on residents' sentiments increased during the COVID-19 pandemic and that not all green spaces are equal. Increasing greenspace, especially within and near neighborhoods, seems critically important to helping urban residents to cope with public health emergencies such as global pandemics.
KW - COVID-19
KW - Phased impact
KW - Residents' sentiments
KW - Social media data
KW - Urban greenspace
UR - http://www.scopus.com/inward/record.url?scp=85135910741&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85135910741&partnerID=8YFLogxK
U2 - 10.1016/j.buildenv.2022.109449
DO - 10.1016/j.buildenv.2022.109449
M3 - Article
AN - SCOPUS:85135910741
SN - 0360-1323
VL - 223
JO - Building and Environment
JF - Building and Environment
M1 - 109449
ER -