ArticleLandscape and urban planning2022
Exploring public values through Twitter data associated with urban parks pre- and post- COVID-19.
Article in Landscape and urban planning, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Optimal Scale of Greenspace Exposure for Pulmonary Tuberculosis Treatment Success: Multi-scale Associations and Interactions with Air Pollutants.Journal of urban health : bulletin of the New York Academy of Medicine · 2026Article
- Understanding pre- and post-COVID urban neighborhood dynamics: a study analyzing georeferenced tweets for New York City.Computational urban science · 2026Article
- Exploring the impact of pandemic fear on visitation to park attractions in urban city: A case study in Seoul, South Korea.PloS one · 2024Article
- A longitudinal analysis of usage patterns, topics, and information dissemination related to five names for cultured meat on social media.Current research in food science · 2024Article
- An overview of urban analytical approaches to combating the Covid-19 pandemic.Environment and planning. B, urban analytics and city science · 2023Article
- COVID-19 pandemic changes the recreational use of Moscow parks in space and time: Outcomes from crowd-sourcing and machine learning.Urban forestry & urban greening · 2023Article
- Contesting views on mobility restrictions in urban green spaces amid COVID-19-Insights from Twitter in Latin America and Spain.Cities (London, England) · 2023Article
- The Factors and Relationships Influencing Forest Hiking Exercise Characteristics after COVID-19 Occurrence: At Seoul Metropolitan Area and in Hikers' 20s and 30s.International journal of environmental research and public health · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Since school and business closures due to the evolving COVID-19 outbreak, urban parks have been a popular destination, offering spaces for daily fitness activities and an escape from the home environment. There is a need for evidence for parks and recreation departments and agencies to base decisions when adapting policies in response to the rapid change in demand and preferences during the pandemic. The application of social media data analytic techniques permits a qualitative and quantitative big-data approach to gain unobtrusive and prompt insights on how parks are valued. This study investigates how public values associated with NYC parks has shifted between pre- COVID (i.e., from March 2019 to February 2020) and post- COVID (i.e., from March 2020 to February 2021) through a social media microblogging platform -Twitter. A topic modeling technique for short text identified common traits of the changes in Twitter topics regarding impressions and values associated with the parks over two years. While the NYC lockdown resulted in much fewer social activities in parks, some parks continued to be valued for physical activity and nature contact during the pandemic. Concerns about people not keeping physical distance arose in parks where frequent human interactions and crowding seemed to cause a higher probability of the coronavirus transmission. This study demonstrates social media data could be used to capture park values and be specific per park. Results could inform park management during disruptions when use is altered and the needs of the public may be changing.
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