Measuring the associations between eye-level urban design quality and on-street crime density around New York subway entrances

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

(2022) Xiang Xu et al.   Remote Sensing

Detecting People on the Street and the Streetscape Physical Environment from Baidu Street View Images and Their Effects on Community-Level Street Crime in a Chinese City

(2022) Han Yue et al.   ISPRS International Journal of Geo-Information

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

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

Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai

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

Testing theft transmission in and around São Paulo metro stations, Brazil

(2021) Gustavo Moreira et al.   Journal of Transport Geography

Using Google Street View imagery to capture micro built environment characteristics in drug places, compared with street robbery

(2021) Hanlin Zhou et al.   COMPUTERS ENVIRONMENT AND URBAN SYSTEMS

Street view imagery in urban analytics and GIS: A review

(2021) Filip Biljecki et al.   LANDSCAPE AND URBAN PLANNING

Assessing bikeability with street view imagery and computer vision

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

Street trees and crime: What characteristics of trees and streetscapes matter

(2021) Jian Lin et al.   URBAN FORESTRY & URBAN GREENING

Exploring associations between streetscape factors and crime behaviors using Google Street View images

(2021) Mingyu Deng et al.   Frontiers of Computer Science

The impact of community residents’ occupational structure on the spatial distribution of different types of crimes

(2021) Chong Xu et al.   HABITAT INTERNATIONAL

Inclusive public open space for all: Spatial justice with health considerations

(2021) Izzy Yi Jian et al.   HABITAT INTERNATIONAL

Using Eye-Tracking Technology to Measure Environmental Factors Affecting Street Robbery Decision-Making in Virtual Environments

(2020) Jae weon Yang et al.   Sustainability

“Perception bias”: Deciphering a mismatch between urban crime and perception of safety

(2020) Fan Zhang et al.   LANDSCAPE AND URBAN PLANNING

Scene Segmentation With Dual Relation-Aware Attention Network

(2020) Jun Fu et al.   IEEE Transactions on Neural Networks and Learning Systems

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

(2020) Yuhao Kang et al.   LAND USE POLICY

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

Analyzing the Relationship between Perception of Safety and Reported Crime in an Urban Neighborhood Using GIS and Sketch Maps

(2019) Yelena Ogneva-Himmelberger 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

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

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

(2013) Philip Salesses et al.   PLoS One

A Difference-in-Differences Analysis of Health, Safety, and Greening Vacant Urban Space

(2011) Charles C. Branas et al.   AMERICAN JOURNAL OF EPIDEMIOLOGY

Using Google Street View to Audit Neighborhood Environments

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

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

(2009) Lin Lin et al.   HEALTH & PLACE

The Spreading of Disorder

(2008) K. Keizer et al.   SCIENCE