The University of Southampton
University of Southampton Institutional Repository

Enhanced Green View Index

Enhanced Green View Index
Enhanced Green View Index
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.
Puppala, Harish
e3ee8cb4-617d-4fbf-bf9c-98768afb9f16
Tamvada, Jagannadha Pawan
767d0374-3cc1-4822-adb6-f22b7a1f6531
Peddinti, Pranav
e0c0468d-ce88-488b-b9bb-b9ce13b0faa5
Kim, Byungmin
bde6da97-8f9a-4778-97f0-3aa9b0c828bd
Puppala, Harish
e3ee8cb4-617d-4fbf-bf9c-98768afb9f16
Tamvada, Jagannadha Pawan
767d0374-3cc1-4822-adb6-f22b7a1f6531
Peddinti, Pranav
e0c0468d-ce88-488b-b9bb-b9ce13b0faa5
Kim, Byungmin
bde6da97-8f9a-4778-97f0-3aa9b0c828bd

Puppala, Harish, Tamvada, Jagannadha Pawan, Peddinti, Pranav and Kim, Byungmin (2022) Enhanced Green View Index. MethodsX. (In Press)

Record type: Article

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.
• 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.

Text
Enhanced Green View Index_MethodsX-Finalversion_Accepted - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (5MB)

More information

Accepted/In Press date: 12 August 2022

Identifiers

Local EPrints ID: 468708
URI: http://eprints.soton.ac.uk/id/eprint/468708
PURE UUID: a6315c29-37fa-4118-9504-7c5f471c88f3
ORCID for Jagannadha Pawan Tamvada: ORCID iD orcid.org/0000-0002-1225-3174

Catalogue record

Date deposited: 23 Aug 2022 16:52
Last modified: 17 Mar 2024 03:33

Export record

Contributors

Author: Harish Puppala
Author: Jagannadha Pawan Tamvada ORCID iD
Author: Pranav Peddinti
Author: Byungmin Kim

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×