Journal article
Toward a comprehensive understanding of eye-level urban greenness: a systematic review
- Abstract:
- The provision of urban green spaces has been widely acknowledged to offer numerous benefits to individuals and communities. Recently, there has been a growing recognition of the importance of evaluating urban greenness from a human-centered perspective, partly due to the rapid development of eye-level greenness measurement. To provide a comprehensive overview of measurement approaches and topics related to eye-level urban greenness, we conducted a systematic review of 77 relevant papers. Our review revealed that street view images are the primarily utilized data source to quantify eye-level urban greenness in urban analysis. Additionally, simulated eye-level urban greenness represents a new frontier for the general public and urban planners, offering the potential to acquire universally applicable quantitative greenness data. Our findings further suggest that eye-level urban greenness has been explored across various domains, including physical behavior, public health, urban planning, human perception, and inequity. Such exploration has highlighted a significant association between eye-level urban greenness and individuals and communities. Our review generates new insights on the integration of urban greenness into urban planning and design, encouraging a greater focus on eye-level urban greenness as a critical component of urban environmental quality.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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(Preview, Version of record, pdf, 2.6MB, Terms of use)
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- Publisher copy:
- 10.1080/17538947.2023.2283479
Authors
- Publisher:
- Taylor and Francis
- Journal:
- International Journal of Digital Earth More from this journal
- Volume:
- 16
- Issue:
- 2
- Pages:
- 4769-4789
- Publication date:
- 2023-11-15
- Acceptance date:
- 2023-11-10
- DOI:
- EISSN:
-
1753-8955
- ISSN:
-
1753-8947
- Language:
-
English
- Keywords:
- Pubs id:
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1564974
- Local pid:
-
pubs:1564974
- Deposit date:
-
2023-11-16
- ARK identifier:
Terms of use
- Copyright holder:
- Yan et al.
- Copyright date:
- 2023
- Rights statement:
- © 2023 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
- Licence:
- CC Attribution (CC BY)
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