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Using Crowdsourced Big Data to Unravel Urban Green Space Utilization during COVID-19 in Guangzhou, China

Author

Listed:
  • Shuhao Liu

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

  • Chang Su

    (School of Architecture and Urban Planning, Huazhong University of Science and Technology, Wuhan 430074, China)

  • Ruochen Yang

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

  • Jianye Zhao

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

  • Kun Liu

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

  • Kwangmin Ham

    (Gangneung-si Public Design Promotion Committee, 33 Gangneung Daero, Gangneung-si 25522, Gangwon-do, Korea)

  • Shiro Takeda

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

  • Junhua Zhang

    (Graduate School of Horticulture, Chiba University, Chiba 271-8510, Japan)

Abstract

Urban green spaces (UGSs) can meet the spiritual and cultural needs of citizens and provide various ecosystem services. In the context of the COVID-19 pandemic, the utilization of UGSs has been affected in various countries worldwide. This study considered 13 UGSs in Guangzhou, China, as examples. It obtained user check-in data by sampling the check-in pages of Sina Weibo locations using a Python-based web crawler program. The study was conducted for 731 days from 1 October 2019 to 30 September 2021, during different phases of the pandemic. Based on automated Chinese corpus recognition technology, statistical results were obtained after periodization and sentiment calculation. The study assessed the pandemic’s impact on the use of UGSs by analyzing the time, frequency, and emotions of residents visiting UGSs. The study concluded that the emotions of UGS users during COVID-19 tended to be positive. They tended to choose UGSs with low expected population density and visited UGSs on weekdays. Additionally, the religious attributes of UGSs also influenced their utilization.

Suggested Citation

  • Shuhao Liu & Chang Su & Ruochen Yang & Jianye Zhao & Kun Liu & Kwangmin Ham & Shiro Takeda & Junhua Zhang, 2022. "Using Crowdsourced Big Data to Unravel Urban Green Space Utilization during COVID-19 in Guangzhou, China," Land, MDPI, vol. 11(7), pages 1-20, June.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:7:p:990-:d:851478
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    References listed on IDEAS

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    2. Victoria Houlden & Scott Weich & João Porto de Albuquerque & Stephen Jarvis & Karen Rees, 2018. "The relationship between greenspace and the mental wellbeing of adults: A systematic review," PLOS ONE, Public Library of Science, vol. 13(9), pages 1-35, September.
    3. Venter, Zander & Barton, David & gundersen, vegard & Figari, Helene & Nowell, Megan, 2020. "Urban nature in a time of crisis: recreational use of green space increases during the COVID-19 outbreak in Oslo, Norway," SocArXiv kbdum, Center for Open Science.
    4. Pei Lin & Lili Chen & Zeshun Luo, 2022. "Analysis of Tourism Experience in Haizhu National Wetland Park Based on Web Text," Sustainability, MDPI, vol. 14(5), pages 1-16, March.
    5. Colleen E Reid & Emma S Rieves & Kate Carlson, 2022. "Perceptions of green space usage, abundance, and quality of green space were associated with better mental health during the COVID-19 pandemic among residents of Denver," PLOS ONE, Public Library of Science, vol. 17(3), pages 1-21, March.
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    Cited by:

    1. Yanju Luo & Jinyang Deng & Chad Pierskalla & Ju-hyoung Lee & Jiayao Tang, 2022. "New Ecological Paradigm, Leisure Motivation, and Wellbeing Satisfaction: A Comparative Analysis of Recreational Use of Urban Parks before and after the COVID-19 Outbreak," Land, MDPI, vol. 11(8), pages 1-28, August.
    2. Shuhao Liu & Chang Su & Junhua Zhang & Shiro Takeda & Jiarui Liu & Ruochen Yang, 2023. "Cross-Cultural Comparison of Urban Green Space through Crowdsourced Big Data: A Natural Language Processing and Image Recognition Approach," Land, MDPI, vol. 12(4), pages 1-27, March.

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