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增强型绿色视图指数。

Enhanced green view index.

作者信息

Puppala Harish, Tamvada Jagannadha Pawan, Kim Byungmin, Peddinti Pranav R T

机构信息

School of Engineering and Technology, BML Munjal University, Sidhrawali, 122413, Gurugram, Haryana, India.

Southampton Business School, University of Southampton, SO17 1BJ, UK.

出版信息

MethodsX. 2022 Aug 19;9:101824. doi: 10.1016/j.mex.2022.101824. eCollection 2022.

DOI:10.1016/j.mex.2022.101824
PMID:36081489
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9445380/
Abstract

Quantifying street-level greenery has been the subject of interest for researchers as it has several implications for community residents. Green View Index (GVI) is a widely used parameter to compute the greenery along the streets. However, it does not account for the health of the greenery. The new Enhanced Green View Index (EGVI) that we propose computes the amount of greenery along the streets along with the health of the greenery. • • •

摘要

量化街道层面的绿化一直是研究人员感兴趣的课题,因为它对社区居民有诸多影响。绿色视野指数(GVI)是一种广泛用于计算街道绿化情况的参数。然而,它没有考虑绿化植物的健康状况。我们提出的新的增强型绿色视野指数(EGVI)在计算街道绿化量的同时,还考虑了绿化植物的健康状况。 • • •

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/eace616e691d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/5375e8c88f38/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/6c1e1cf0a42b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/1ff4d796ca3f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/7da16c591ba0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/2c0b268a7edd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/eace616e691d/gr5.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/5375e8c88f38/ga1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/6c1e1cf0a42b/gr1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/1ff4d796ca3f/gr2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/7da16c591ba0/gr3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/2c0b268a7edd/gr4.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7222/9445380/eace616e691d/gr5.jpg

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MethodsX. 2023 Apr 1;10:102155. doi: 10.1016/j.mex.2023.102155. eCollection 2023.

本文引用的文献

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Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity.利用谷歌街景开发和测试一种街道评估工具,以衡量环境对身体活动的支持程度。
Int J Behav Nutr Phys Act. 2013 Aug 23;10:103. doi: 10.1186/1479-5868-10-103.
2
Environmental and lifestyle factors associated with overweight and obesity in Perth, Australia.澳大利亚珀斯地区与超重及肥胖相关的环境和生活方式因素。
Am J Health Promot. 2003 Sep-Oct;18(1):93-102. doi: 10.4278/0890-1171-18.1.93.