Evaluation on the performance of tree view factor in a high-density subtropical city: A case study in Hong Kong

Cheng, Ka Yuen; Lau, Kevin; Shek, Ying Ting; Liu, Zhixin; Ng, Edward

doi:10.1016/j.buildenv.2023.110431

Cited by 5 publications

(1 citation statement)

References 94 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Population agglomeration in metropolitan cities is a worldwide trend and drives socioeconomic development [ 1 ]. Asian cities like Hong Kong [ 2 ] and Taipei [ 3 ] have a compact layout, high urban population densities, and overcrowded buildings. Green spaces or green planting measures act as regulators, helping to mitigate the urban heat island effect [ 3 , 4 ].…”

Section: Introductionmentioning

confidence: 99%

Exploring the spatial association between the distribution of temperature and urban morphology with green view index

Chan,

Lee,

Lee

et al. 2024

PLoS ONE

View full text Add to dashboard Cite

Urban heat islands will occur if city neighborhoods contain insufficient green spaces to create a comfortable environment, and residents’ health will be adversely affected. Current satellite imagery can only effectively identify large-scale green spaces and cannot capture street trees or potted plants within three-dimensional building spaces. In this study, we used a deep convolutional neural network semantic segmentation model on Google Street View to extract environmental features at the neighborhood level in Taipei City, Taiwan, including the green vegetation index (GVI), building view factor, and sky view factor. Monthly temperature data from 2018 to 2021 with a 0.01° spatial resolution were used. We applied a linear mixed-effects model and geographically weighted regression to explore the association between pedestrian-level green spaces and ambient temperature, controlling for seasons, land use information, and traffic volume. Their results indicated that a higher GVI was significantly associated with lower ambient temperatures and temperature differences. Locations with higher traffic flows or specific land uses, such as religious or governmental, are associated with higher ambient temperatures. In conclusion, the GVI from street-view imagery at the community level can improve the understanding of urban green spaces and evaluate their effects in association with other social and environmental indicators.

show abstract