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Utilizing the green view index to improve the urban street greenery index system: A statistical study using road patterns and vegetation structures as entry points by Huaizhen Zhu; Xinge Nan; Fan Yang; Zhiyi Bao is a Environmental Science article available to read on EtoBox.

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Urban streetscapes play a critical role in ecological benefits and resident health. The green view index (GVI) can improve the limitations of the existing road greenery index, which is too planarized. This study used road patterns and vegetation structures to explore the intrinsic connection and application possibilities between the GVI and the urban road greenery indicators. The study acquired and then selected 27,038 valid street images to calculate the GVI through semantic segmentation, and used ArcGIS10.6 to calculate the greenery land ratio (GLR) and greenery coverage ratio (GCR) for 593 roads. After strictly controlling of the variables, typical roads were selected for simulation scenario comparison experiments. The results indicates that the GVI will be lower than the greenery volume of two-dimensional indicators, and a threshold within 30% can be set as a preliminary reference of the GVI standard for urban streetscapes. The GVI is irreplaceable and has a more flexible range, which provides a more comprehensive, accurate and rigorous evaluation of the greenery volume. The central greenery belt and the shrub layer are essential to enhance GVI. From all researched viewpoints,

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Author

Huaizhen Zhu; Xinge Nan; Fan Yang; Zhiyi Bao

Publisher

Elsevier BV

Published

2023

Language

EN

Field

Environmental Science (Physical Sciences)