Green infrastructure inequality in the context of COVID-19: Taking parks and trails as examples
Urban Forestry & Urban Greening, ISSN: 1618-8667, Vol: 86, Page: 128027
2023
- 18Citations
- 58Captures
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations18
- Citation Indexes18
- 18
- CrossRef7
- Captures58
- Readers58
- 58
Article Description
Urban green infrastructures play a critical role in enhancing the well-being of residents, yet their equitable access remains a concern, particularly during the COVID-19 outbreak. There is a lack of knowledge on how people respond to the pandemic regarding the usage of green infrastructure in cities. This paper explores the shifts in visitation to parks and trails, two popular types of green infrastructures in Salt Lake County, Utah, by analyzing the results of a survey conducted during the pandemic. Our conceptualization considers personal and neighborhood level factors, including personal socioeconomic status, existing inequalities of green infrastructures, urban form, and neighborhood conditions. People who reside close to the city center tend to go to parks more often, while those living in urban edges use trails more. Visiting green infrastructures less often is more likely in areas with higher COVID-19 infection rates. The regression results confirm the importance of neighborhood level factors and illustrate the intricate elements influencing people's decisions to visit different green infrastructures during the pandemic, which shows non-linear relationships. Wealthier, white, and younger people seem to enjoy green infrastructures more often, leading to the concern of amplified inequality. Higher COVID-19 cases result in higher demands for green infrastructures, which are not fulfilled during the pandemic, especially for vulnerable communities, leading to spatial exclusion. The findings highlight the importance of smart growth, including compact development, public transit, and pocket parks, in promoting the urban resilience of park and trail visits, as they may provide more opportunities for access and alternatives to green infrastructures even in the context of the pandemic.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S161886672300198X; http://dx.doi.org/10.1016/j.ufug.2023.128027; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85165580453&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/37614701; https://linkinghub.elsevier.com/retrieve/pii/S161886672300198X; https://dx.doi.org/10.1016/j.ufug.2023.128027
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know