Subjective or objective measures of street environment, which are more effective in explaining housing prices?

W Qiu, Z Zhang, X Liu, W Li, X Li, X Xu… - Landscape and Urban …, 2022 - Elsevier
Houses with better street design are found to relate to a price premium. Prior studies mainly
present the street quality using objective indicators like tree counts and distance to parks …

Subjective and objective measures of streetscape perceptions: Relationships with property value in Shanghai

W Qiu, W Li, X Liu, Z Zhang, X Li, X Huang - Cities, 2023 - Elsevier
Recently, housing prices studies emerged to use street view imagery to infer the marginal
price of streetscape using hedonic price models (HPM). Within this trend, most studies took …

Associations between street-view perceptions and housing prices: Subjective vs. objective measures using computer vision and machine learning techniques

X Xu, W Qiu, W Li, X Liu, Z Zhang, X Li, D Luo - Remote Sensing, 2022 - mdpi.com
This study investigated the extent to which subjectively and objectively measured street-
level perceptions complement or conflict with each other in explaining property value. Street …

The visual quality of streets: A human-centred continuous measurement based on machine learning algorithms and street view images

Y Ye, W Zeng, Q Shen, X Zhang… - … and Planning B: Urban …, 2019 - journals.sagepub.com
This study proposes a workable approach for quantitatively measuring the perceptual-based
visual quality of streets, which has often relied on subjective impressions or feelings. With …

Associations between the quality of street space and the attributes of the built environment using large volumes of street view pictures

S Li, S Ma, D Tong, Z Jia, P Li… - … and Planning B: Urban …, 2022 - journals.sagepub.com
In this study, we focus on the quality of street space which has attracted high attentions. We
discover associations between the quality of street space and built environment attributes …

Measuring visual quality of street space and its temporal variation: Methodology and its application in the Hutong area in Beijing

J Tang, Y Long - Landscape and Urban Planning, 2019 - Elsevier
Although it is widely known that quality of street space plays a vital role in promoting urban
vibrancy, there is still no consensus on how to quantitatively measure it for a large scale …

Do street-level scene perceptions affect housing prices in Chinese megacities? An analysis using open access datasets and deep learning

X Fu, T Jia, X Zhang, S Li, Y Zhang - PloS one, 2019 - journals.plos.org
Many studies have explored the relationship between housing prices and environmental
characteristics using the hedonic price model (HPM). However, few studies have deeply …

Measuring human perceptions of a large-scale urban region using machine learning

F Zhang, B Zhou, L Liu, Y Liu, HH Fung, H Lin… - Landscape and Urban …, 2018 - Elsevier
Measuring the human sense of place and quantifying the connections among the visual
features of the built environment that impact the human sense of place have long been of …

[HTML][HTML] Predicting perceptions of the built environment using GIS, satellite and street view image approaches

A Larkin, X Gu, L Chen, P Hystad - Landscape and Urban Planning, 2021 - Elsevier
Background High quality built environments are important for human health and wellbeing.
Numerous studies have characterized built environment physical features and …

[HTML][HTML] Measuring residents' perceptions of city streets to inform better street planning through deep learning and space syntax

L Wang, X Han, J He, T Jung - ISPRS Journal of Photogrammetry and …, 2022 - Elsevier
The quality of street space plays an important role in promoting urban development. Street
space refers to public spaces consisting of street elements such as plant, roads and …