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Unveiling environmental justice in two US cities through greenspace accessibility and visible greenness exposure.

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Title: Unveiling environmental justice in two US cities through greenspace accessibility and visible greenness exposure.
Authors: Rahman, Md Shahinoor1,2 (AUTHOR), Meenar, Mahbubur1,3 (AUTHOR) meenar@rowan.edu, Labib, SM4 (AUTHOR), Howell, Ted3 (AUTHOR), Adlakha, Deepti5 (AUTHOR), Woodward, Ben3 (AUTHOR)
Source: Urban Forestry & Urban Greening. Nov2024, Vol. 101, pN.PAG-N.PAG. 1p.
Subject Terms: *Cities & towns, *Environmental justice, *Earth sciences, Geospatial data, Urban parks
Abstract: Uneven access to greenspaces or visible greenness is an environmental justice (EJ) issue. In this paper, we use a social equity lens to develop geospatial models that measure convenient walking access to urban greenspaces such as parks and street-level green exposure en route to greenspaces. We utilized earth science, geospatial, and demographic datasets to develop two models—Greenspace Accessibility and Visible Greenness Exposure—and applied them in Camden and Jersey City, USA, two communities experiencing environmental injustices. Modeling results show that greenspace accessibility is a concern in both cities, with Jersey City experiencing more prominent disparities. We observed significant positive relationships in Camden between greenspace accessibility and two EJ variables: Black segregation and Hispanic segregation. Most streets in both cities have poor greenness exposure, although Jersey City faces higher inequality compared to Camden. We also observed significant negative relationships in Jersey City between street-level greenness exposure and low-income populations. We conclude the paper by explaining the implications of our findings for greenspace planning and policymaking. [ABSTRACT FROM AUTHOR]
Copyright of Urban Forestry & Urban Greening is the property of Elsevier B.V. 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.)
Database: GreenFILE
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PubType: Academic Journal
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  Data: Unveiling environmental justice in two US cities through greenspace accessibility and visible greenness exposure.
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  Data: <searchLink fieldCode="JN" term="%22Urban+Forestry+%26+Urban+Greening%22">Urban Forestry & Urban Greening</searchLink>. Nov2024, Vol. 101, pN.PAG-N.PAG. 1p.
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  Data: *<searchLink fieldCode="DE" term="%22Cities+%26+towns%22">Cities & towns</searchLink><br />*<searchLink fieldCode="DE" term="%22Environmental+justice%22">Environmental justice</searchLink><br />*<searchLink fieldCode="DE" term="%22Earth+sciences%22">Earth sciences</searchLink><br /><searchLink fieldCode="DE" term="%22Geospatial+data%22">Geospatial data</searchLink><br /><searchLink fieldCode="DE" term="%22Urban+parks%22">Urban parks</searchLink>
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  Data: Uneven access to greenspaces or visible greenness is an environmental justice (EJ) issue. In this paper, we use a social equity lens to develop geospatial models that measure convenient walking access to urban greenspaces such as parks and street-level green exposure en route to greenspaces. We utilized earth science, geospatial, and demographic datasets to develop two models—Greenspace Accessibility and Visible Greenness Exposure—and applied them in Camden and Jersey City, USA, two communities experiencing environmental injustices. Modeling results show that greenspace accessibility is a concern in both cities, with Jersey City experiencing more prominent disparities. We observed significant positive relationships in Camden between greenspace accessibility and two EJ variables: Black segregation and Hispanic segregation. Most streets in both cities have poor greenness exposure, although Jersey City faces higher inequality compared to Camden. We also observed significant negative relationships in Jersey City between street-level greenness exposure and low-income populations. We conclude the paper by explaining the implications of our findings for greenspace planning and policymaking. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Urban Forestry & Urban Greening is the property of Elsevier B.V. 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=8gh&AN=180767475
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        Value: 10.1016/j.ufug.2024.128493
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      – Code: eng
        Text: English
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        Type: general
      – SubjectFull: Environmental justice
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      – SubjectFull: Earth sciences
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      – SubjectFull: Urban parks
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      – TitleFull: Unveiling environmental justice in two US cities through greenspace accessibility and visible greenness exposure.
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              M: 11
              Text: Nov2024
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