Enhanced green view index

Harish Puppala; Jagannadha Pawan Tamvada; Byungmin Kim; Pranav R.  T. Peddinti

MethodsX (Jan 2022)

Enhanced green view index

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

Affiliations

Harish Puppala: School of Engineering and Technology, BML Munjal University, Sidhrawali, 122413, Gurugram, Haryana, India
Jagannadha Pawan Tamvada: Southampton Business School, University of Southampton, SO17 1BJ, UK
Byungmin Kim: Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulju-gun, Ulsan 44919, South Korea
Pranav R.  T. Peddinti: Department of Urban and Environmental Engineering, Ulsan National Institute of Science and Technology (UNIST), UNIST-gil 50, Ulju-gun, Ulsan 44919, South Korea; Department of Civil Engineering, Pandit Deendayal Energy University, 382007 Gujarat, India; Corresponding author.

Journal volume & issue: Vol. 9
p. 101824

Abstract

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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.• The new indicator computes street-level greenery;• Considers the health of vegetation while calculating greenery; and• Helps to study the impact of street-level greenery on community residents precisely.

Enhanced Green View Index

Published in MethodsX

ISSN: 2215-0161 (Online)
Publisher: Elsevier
Country of publisher: Netherlands
LCC subjects: Science
Website: http://www.journals.elsevier.com/methodsx/

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