Assessing the Impact of the Covid-19 Pandemic on Population Heat in Urban Green Spaces in China
Bibliographic Data
| ID | 6441405 |
|---|---|
| Authors | Ziyu Zhao (0000-0002-6578-0023, Qingdao University, corresponding author), Shiyao Zhao (Qingdao University), Yajing Liu (0000-0002-5323-8077, Qingdao University) |
| Year | 2023 |
| Volume | 47 |
| Issue | 8 |
| Pages | 1-23 |
| Publication date | 2023-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Leisure Sciences (JOURNAL) |
| Journal identifiers | ISSN: 0149-0400 • E-ISSN: 1521-0588 |
| Publisher | Taylor & Francis (PUBLISHER • GB) |
| DOI | 10.1080/01490400.2023.2238268 |
| OpenAlex | W4385461733 |
| Language | EN |
| References cited | 52 |
Using mobile positioning data, the study assessed the impact of the COVID-19 pandemic on population heat in urban green spaces (UGSs) in Beijing, Shanghai, and Qingdao, China. The results were summarized as follows. The range of the spatial distribution of population heat in the three cities expanded in 2020 compared with that in 2019. Moreover, the shape of the hourly curve of population heat in UGSs changed from an inverted U-shape to a flat shape due to the impact of the COVID-19 pandemic. Restricted–non-fee-paying UGSs were least affected by the COVID-19 pandemic. Last, regression analysis revealed a significant influence of the change in population heat in hotel accommodation within UGS service areas on the change of population heat in UGSs. These findings provided new insights into the responses of recreational populations to policy decisions, risk perception of an infectious disease, and resilience to crises of different types of UGSs.Keywords: Big datagreen spacerecreational populationrisk perceptionspatiotemporal analysis Disclosure statementNo potential conflict of interest was reported by the authors.Additional informationFundingThis work was supported by the National Natural Science Foundation of China under (grant number 42001176) and Youth Foundation of Humanities and Social Sciences of Ministry of Education under (grant number 20YJCZH241
Beijing · Biology · China · Coronavirus disease 2019 (COVID-19 · Disease · Economic growth · Economics · Geography · Infectious disease (medical specialty · Pandemic · Population · Recreation · Socioeconomics · Sociology · Demography · Ecology · Land Use and Ecosystem Services · Urban Green Space and Health · Urban Heat Island Mitigation
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| Citation velocity | historical |
|---|---|
| Highly cited | No |