Academic Journal

As cities grow larger, they may also become less green.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: As cities grow larger, they may also become less green.
Συγγραφείς: Stuhlmacher, Michelle, Frazier, Amy E., Corya, Isabella, Yang, Wenxin
Πηγή: Journal of Land Use Science; Dec2025, Vol. 20 Issue 1, p176-196, 21p
Περίληψη: There is growing empirical evidence that cities share similar statistical patterns in terms of their social and economic characteristics. Many facets of urban life – ranging from personal income, innovation, crime, amenities, and infrastructure – have been found to follow non-linear, power-law scaling relationships with city size. Using Landsat and other satellite-derived data, we test whether urban green space exhibits scaling relationships on a global selection of 150 cities at global and individual city scales. We find that urban green space follows a pervasive sublinear scaling relationship with city size, both in terms of population and land area. Sublinear scaling indicates that green space declines in per-unit access as cities grow larger, which means that corresponding ecosystem services provided by green spaces will also likely decline. Without interventions to preserve and manage urban green space, future cities may become wealthier and more innovative as they grow, but will be relatively less green. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Land Use Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: As cities grow larger, they may also become less green.
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  Data: <searchLink fieldCode="AR" term="%22Stuhlmacher%2C+Michelle%22">Stuhlmacher, Michelle</searchLink><br /><searchLink fieldCode="AR" term="%22Frazier%2C+Amy+E%2E%22">Frazier, Amy E.</searchLink><br /><searchLink fieldCode="AR" term="%22Corya%2C+Isabella%22">Corya, Isabella</searchLink><br /><searchLink fieldCode="AR" term="%22Yang%2C+Wenxin%22">Yang, Wenxin</searchLink>
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  Data: Journal of Land Use Science; Dec2025, Vol. 20 Issue 1, p176-196, 21p
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: There is growing empirical evidence that cities share similar statistical patterns in terms of their social and economic characteristics. Many facets of urban life – ranging from personal income, innovation, crime, amenities, and infrastructure – have been found to follow non-linear, power-law scaling relationships with city size. Using Landsat and other satellite-derived data, we test whether urban green space exhibits scaling relationships on a global selection of 150 cities at global and individual city scales. We find that urban green space follows a pervasive sublinear scaling relationship with city size, both in terms of population and land area. Sublinear scaling indicates that green space declines in per-unit access as cities grow larger, which means that corresponding ecosystem services provided by green spaces will also likely decline. Without interventions to preserve and manage urban green space, future cities may become wealthier and more innovative as they grow, but will be relatively less green. [ABSTRACT FROM AUTHOR]
– Name: Abstract
  Label:
  Group: Ab
  Data: <i>Copyright of Journal of Land Use Science is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1080/1747423X.2025.2514877
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        Text: English
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              M: 12
              Text: Dec2025
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