Associations between Street-View Perceptions and Housing Prices: Subjective vs. Objective Measures Using Computer Vision and Machine Learning Techniques

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

(2022) Waishan Qiu et al.   LANDSCAPE AND URBAN PLANNING

Reducing the health effects of hot weather and heat extremes: from personal cooling strategies to green cities

(2021) Ollie Jay et al.   LANCET

Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai

(2021) Waishan Qiu et al.   ISPRS International Journal of Geo-Information

Ending gated communities: the rationales for resistance in China

(2021) Colleen Chiu-Shee et al.   HOUSING STUDIES

Assessing bikeability with street view imagery and computer vision

(2021) Koichi Ito et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Human settlement value assessment from a place perspective: Considering human dynamics and perceptions in house price modeling

(2021) Yuhao Kang et al.   CITIES

Neighborhood Walkability and Housing Prices: A Correlation Study

(2020) Eun Jung Kim et al.   Sustainability

Measuring Impacts of Urban Environmental Elements on Housing Prices Based on Multisource Data—A Case Study of Shanghai, China

(2020) Liujia Chen et al.   ISPRS International Journal of Geo-Information

Predicting human perception of the urban environment in a spatiotemporal urban setting using locally acquired street view images and audio clips

(2020) Deepank Verma et al.   BUILDING AND ENVIRONMENT

The distribution of greenspace quantity and quality and their association with neighbourhood socioeconomic conditions in Guangzhou, China: A new approach using deep learning method and street view images

(2020) Ruoyu Wang et al.   Sustainable Cities and Society

Understanding house price appreciation using multi-source big geo-data and machine learning

(2020) Yuhao Kang et al.   LAND USE POLICY

Daily Accessed Street Greenery and Housing Price: Measuring Economic Performance of Human-Scale Streetscapes via New Urban Data

(2019) Yu Ye et al.   Sustainability

Social inequalities in neighborhood visual walkability: Using Street View imagery and deep learning technologies to facilitate healthy city planning

(2019) Hao Zhou et al.   Sustainable Cities and Society

A human-machine adversarial scoring framework for urban perception assessment using street-view images

(2019) Yao Yao et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

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

(2019) Xiao Fu et al.   PLoS One

The linkage between the perception of neighbourhood and physical activity in Guangzhou, China: using street view imagery with deep learning techniques

(2019) Ruoyu Wang et al.   International Journal of Health Geographics

A novel method for predicting and mapping the occurrence of sun glare using Google Street View

(2019) Xiaojiang Li et al.   TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES

Using street view data and machine learning to assess how perception of neighborhood safety influences urban residents’ mental health

(2019) Ruoyu Wang et al.   HEALTH & PLACE

A fast approach for large-scale Sky View Factor estimation using street view images

(2018) Liyue Zeng et al.   BUILDING AND ENVIRONMENT

Impacts of Street-Visible Greenery on Housing Prices: Evidence from a Hedonic Price Model and a Massive Street View Image Dataset in Beijing

(2018) Yonglin Zhang et al.   ISPRS International Journal of Geo-Information

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

(2018) Fan Zhang et al.   LANDSCAPE AND URBAN PLANNING

Explaining subjective perceptions of public spaces as a function of the built environment: A massive data approach

(2018) Tomás Rossetti et al.   LANDSCAPE AND URBAN PLANNING

Urban form and composition of street canyons: A human-centric big data and deep learning approach

(2018) Ariane Middel et al.   LANDSCAPE AND URBAN PLANNING

Green streets − Quantifying and mapping urban trees with street-level imagery and computer vision

(2017) Ian Seiferling et al.   LANDSCAPE AND URBAN PLANNING

Computer vision uncovers predictors of physical urban change

(2017) Nikhil Naik et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Objective and subjective measures of neighborhood environment (NE): relationships with transportation physical activity among older persons

(2015) Ma Shwe Zin Nyunt et al.   International Journal of Behavioral Nutrition and Physical Activity

Assessing street-level urban greenery using Google Street View and a modified green view index

(2015) Xiaojiang Li et al.   URBAN FORESTRY & URBAN GREENING

Valuing public and private urban tree canopy cover

(2013) Ram Pandit et al.   AUSTRALIAN JOURNAL OF AGRICULTURAL AND RESOURCE ECONOMICS

Developing and testing a street audit tool using Google Street View to measure environmental supportiveness for physical activity

(2013) Pippa Griew et al.   International Journal of Behavioral Nutrition and Physical Activity

Walking Objectively Measured

(2013) BUMJOON KANG et al.   MEDICINE AND SCIENCE IN SPORTS AND EXERCISE

The Collaborative Image of The City: Mapping the Inequality of Urban Perception

(2013) Philip Salesses et al.   PLoS One

Sample size planning for classification models

(2012) Claudia Beleites et al.   ANALYTICA CHIMICA ACTA

Predicting sample size required for classification performance

(2012) Rosa L Figueroa et al.   BMC Medical Informatics and Decision Making

Using Google Street View to Audit Neighborhood Environments

(2010) Andrew G. Rundle et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Measuring the Built Environment for Physical Activity

(2009) Ross C. Brownson et al.   AMERICAN JOURNAL OF PREVENTIVE MEDICINE

Value of scenic views: Hedonic assessment of private housing in Hong Kong

(2009) C.Y. Jim et al.   LANDSCAPE AND URBAN PLANNING

Can you see green? Assessing the visibility of urban forests in cities

(2009) Jun Yang et al.   LANDSCAPE AND URBAN PLANNING

Trees in the city: Valuing street trees in Portland, Oregon

(2009) Geoffrey H. Donovan et al.   LANDSCAPE AND URBAN PLANNING

Objective versus subjective measures of the built environment, which are most effective in capturing associations with walking?

(2009) Lin Lin et al.   HEALTH & PLACE