Saltar al contenido principal

ETHNOS_APP

Inicio • Búsqueda • Revistas • Lista 0

Decoding urban landscapes

Google street view and measurement sensitivity

Datos Bibliográficos

ID21478653
AutoresJae Hong Kim (0000-0001-9365-4326, University of California, Irvine, autor de correspondencia), Sugie Lee (0000-0002-0940-4488, Hanyang University), J R Hipp (0000-0001-9006-2587, University of California, Irvine), Donghwan Ki (0009-0005-7079-199X, Hanyang University)
Año2021
Volumen88
Páginas101626
Fecha de publicación2021-07-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaComputers Environment and Urban Systems (JOURNAL)
Identificadores de la revistaISSN: 0198-9715 • E-ISSN: 1873-7587
EditorialElsevier BV (PUBLISHER)
DOI10.1016/j.compenvurbsys.2021.101626
OpenAlexW3142332301
IdiomaEN
Citas recibidas44
Referencias citadas35

Cartography · Decoding methods · Geography · Remote sensing · Telecommunications · Computer Science · Engineering · Impact of Light on Environment and Health · Land Use and Ecosystem Services · Urban Design and Spatial Analysis

  • Assessing bikeability with street view imagery and computer vision

    Open Access•Koichi Ito, Filip Biljecki•Transportation Research Part C:…•2021

  • Measuring residents’ perceptions of city streets to inform better street planning through deep learning and space syntax

    Open Access•Lei Wang, Xin Han et al.•ISPRS Journal of Photogrammetry…•2022

  • Smart Point Cloud–Guided 3D Gaussian Splatting for Urban Modeling and Data-Driven Analysis

    Open Access•Yingwen Yu, Zhuoyue Wang et al.•Sustainable Cities and Society•2026

  • Identification and Improvement of Hazard Scenarios in Non-Motorized Transportation Using Multiple Deep Learning and Street View Images

    Open Access•Yiwen Wang, Di Liu et al.•International Journal of…•2022

  • Evaluating Urban Greenery Through the Front-Facing Street View Imagery

    Open Access•Jin Zhu, Yingjing Huang et al.•ISPRS International Journal of…•2025

  • Information in Streetscapes—Research on Visual Perception Information Quantity of Street Space Based on Information Entropy and Machine Learning

    Open Access•Ziyi Liu, Xinyao Ma et al.•ISPRS International Journal of…•2022

  • Assessment of Perceived and Physical Walkability Using Street View Images and Deep Learning Technology

    Open Access•Youngok Kang, Jiyeon Kim et al.•ISPRS International Journal of…•2023

  • Spatial differentiation of child-friendliness perceptions on school routes

    Open Access•Yao Liu, Yifan Chen et al.•Journal of Transport Geography•2026

  • Ridesharing accessibility from the human eye

    Open Access•Mingshu Wang, Zheyan Chen et al.•Computers Environment and Urban…•2022

  • Mapping the walk

    Open Access•Maryam Hosseini, Andres Sevtsuk et al.•Computers Environment and Urban…•2023

  • Examining the relationship between active transport and exposure to streetscape diversity during travel

    Open Access•Hanlin Zhou, Jue Wang et al.•Computers Environment and Urban…•2024

  • Classification of urban morphology with deep learning

    Open Access•Wangyang Chen, Abraham Noah Wu et al.•Computers Environment and Urban…•2021

  • Utilizing geo-referenced imagery for systematic social observation of neighborhood disorder

    Open Access•Thom Snaphaan, Wim Hardyns•Computers Environment and Urban…•2021

  • An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities

    Open Access•Junghwan Kim, Kee Moon Jang•Computers Environment and Urban…•2023

  • UrbanClassifier

    Open Access•Zhou Fang, Ying Jin et al.•Computers Environment and Urban…•2024

  • Multiscale analysis of the influence of street built environment on crime occurrence using street-view images

    Open Access•Zhanjun He, Zhipeng Wang et al.•Computers Environment and Urban…•2022

  • Converting street view images to land cover maps for metric mapping

    Open Access•Huan Ning, Zhenlong Li et al.•Computers Environment and Urban…•2022

  • Bridging the gap between pedestrian and street views for human-centric environment measurement

    Open Access•Donghwan Ki, Keundeok Park et al.•Landscape and Urban Planning•2023

  • Semantic Riverscapes

    Open Access•Junjie Luo, Tianhong Zhao et al.•Landscape and Urban Planning•2022

  • A multi-scale user-friendliness evaluation approach on cycling network utilizing multi-source data

    Open Access•Xiaoyang Deng, Zilong Zhao et al.•Applied Geography•2024

  • Evaluating the Correlation Between Impacting Factors and Land Surface Temperature via Spatial Regression Model and Random Forest

    Jiongye Li•The Professional Geographer•2024

  • Multimodal Large Language Models as Built Environment Auditing Tools

    Kee Moon Jang, Junghwan Kim•The Professional Geographer•2025

  • Mapping sidewalks on a neighborhood scale from street view images

    Open Access•Omar Faruqe Hamim, Surendra Reddy Kancharla et al.•Environment and Planning B Urban…•2024

  • Uncovering nonlinear urban factors of homelessness

    Open Access•Shengao Yi, Wei Tu et al.•Environment and Planning B Urban…•2026

  • Micro-level walkability and station-level transit use

    Open Access•Rong Liu, Paulina Maria Neisch et al.•Sustainable Cities and Society•2025

  • Nonlinear relationships and interaction effects of an urban environment on crime incidence

    Open Access•Sunjae Kim, Sugie Lee•Sustainable Cities and Society•2023

  • Microclimate Vision

    Open Access•Kunihiko Fujiwara, Maxim Khomiakov et al.•Sustainable Cities and Society•2024

  • A method of estimating the spatiotemporal distribution of reflected sunlight from glass curtain walls in high-rise business districts using street-view panoramas

    Open Access•Haipeng Zhu, Zongchao Gu•Sustainable Cities and Society•2022

  • Beyond built environment

    Open Access•Jin Rui, Yuhan Xu•Sustainable Cities and Society•2024

  • The role of privacy concerns, perceived benefits, and trust in citizens' acceptance of street-view image collection by local planning agencies

    Open Access•Junghwan Kim, Dayoung Kim et al.•Cities•2024

  • How concentrated disadvantage moderates the built environment and crime relationship on street segments in Los Angeles

    Open Access•J R Hipp, Sugie Lee et al.•Criminology & Criminal Justice•2022

  • How does the effect of walkability on walking behavior vary with the time of day? A study of Shenzhen, China

    Open Access•Xuan He, Sylvia Y He•Journal of Transport Geography•2025

  • Does weather matter? Examining measurement bias in street view image-based urban perception assessments

    Open Access•Donghwan Ki, Dongwon Ki et al.•Computers Environment and Urban…•2026

  • Using digital tools to identify and analyze vernacular buildings in remote regions

    Open Access•Dayane Félix Andrade, Sofia Araújo Lima Bessa et al.•Journal of Cultural Heritage…•2025

  • Application of Google Street View Images in Identifying Mobility Patterns in Small and Intermediate Towns (Kiambu County, Kenya)

    Open Access•Jackson Kago•Sources•2024

  • Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images

    Open Access•Junghwan Kim, Jinhyung Park et al.•Cities•2024

  • Extracting human perceptions from street view images for better assessing urban renewal potential

    Open Access•Jialyu He, Jinbao Zhang et al.•Cities•2023

  • Measuring streetscape perceptions from driveways and sidewalks to inform pedestrian-oriented street renewal in Düsseldorf

    Open Access•Jin Rui•Cities•2023

  • Plausible or misleading? Evaluating the adaption of the place pulse 2.0 dataset for predicting subjective perception in Chinese urban landscapes

    Open Access•Jin Rui, Chenfan Cai•Habitat International•2025

  • Analysing non-linearities and threshold effects between street-level built environments and local crime patterns

    Open Access•Sugie Lee, Donghwan Ki et al.•Urban Studies•2025

  • Coverage and bias of street view imagery in mapping the urban environment

    Open Access•Zicheng Fan, Chen-Chieh Feng et al.•Computers Environment and Urban…•2025

  • A citizen science toolkit to collect human perceptions of urban environments using open street view images

    Open Access•Matthew Danish, M Labib et al.•Computers Environment and Urban…•2025

  • Quantifying seasonal bias in street view imagery for urban form assessment

    Open Access•Tianhong Zhao, Xiucheng Liang et al.•Computers Environment and Urban…•2025

  • Using Systematic Social Observations to Measure Crime Prevention through Environmental Design and Disorder

    Open Access•Marlies Sas, Thom Snaphaan et al.•CAM•2023

  • Mapping sky, tree, and building view factors of street canyons in a high-density urban environment

    Open Access•Fang-Ying Gong, Zhao-Cheng Zeng et al.•Building and Environment•2018

  • Urban form and composition of street canyons

    Open Access•Ariane Middel, Jonas Lukasczyk et al.•Landscape and Urban Planning•2019

  • Google Street View

    Open Access•Dragomir Anguelov, Carole Dulong et al.•Computer•2010

  • ‘Big data’ for pedestrian volume

    Open Access•Li Yin, Qimin Cheng et al.•Applied Geography•2015

  • Using Google Street View to investigate the association between street greenery and physical activity

    Open Access•Yi Lü•Landscape and Urban Planning•2019

  • Using deep learning and Google Street View to estimate the demographic makeup of neighborhoods across the United States

    Open Access•Timnit Gebru, Jonathan Krause et al.•Proceedings of the National…•2017

  • Built environment and violent crime

    Open Access•Li He, Antonio Páez et al.•Computers Environment and Urban…•2017

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

    Open Access•Ian Seiferling, Nikhil Naik et al.•Landscape and Urban Planning•2017

  • Measuring daily accessed street greenery

    Open Access•Yu Ye, Daniel R Richards et al.•Landscape and Urban Planning•2019

  • Scale effects in remotely sensed greenspace metrics and how to mitigate them for environmental health exposure assessment

    Open Access•S M Labib, Sarah Lindley et al.•Computers Environment and Urban…•2020

  • Measuring landscape change, lot by lot

    Open Access•Paul H Gobster, Sara Hadavi et al.•Landscape and Urban Planning•2020

  • Analyzing the obstruction effects of obstacles on light pollution caused by street lighting system in Cambridge, Massachusetts

    Open Access•Xiaojiang Li, Fábio Duarte et al.•Environment and Planning B Urban…•2021

  • Association between street greenery and walking behavior in older adults in Hong Kong

    Open Access•Yiyang Yang, Dongsheng He et al.•Sustainable Cities and Society•2019

  • Identifying Spatial Patterns of Recovery and Abandonment in the Post-Katrina Holy Cross Neighborhood of New Orleans

    Andrew Curtis, Dominique Duval‐diop et al.•Cartography and Geographic…•2010

  • Development and deployment of the Computer Assisted Neighborhood Visual Assessment System (Canvas) to measure health-related neighborhood conditions

    Open Access•Michael D M Bader, Stephen J Mooney et al.•Health & Place•2014

  • The value of crowdsourced street-level imagery

    Open Access•Luis F Alvarez León, D Quinn et al.•GeoJournal•2018

  • Associations between overhead-view and eye-level urban greenness and cycling behaviors

    Open Access•Yi Lü, Yiyang Yang et al.•Cities•2019

  • Life between buildings from a street view image

    Open Access•Mingshu Wang, F Vermeulen•Urban Studies•2021

  • The Promise, Practicalities, and Perils of Virtually Auditing Neighborhoods Using Google Street View

    Open Access•Michael D M Bader, Stephen J Mooney et al.•The Annals of the American…•2017

  • Viewing obesogenic advertising in children's neighbourhoods using Google Street View

    Open Access•Victoria Egli, Caryn Zinn et al.•Geographical Research•2019

  • Divergent Pathways of Gentrification

    Open Access•Jackelyn Hwang, Robert J Sampson•American Sociological Review•2014

  • The effect of street-level greenery on walking behavior

    Open Access•Yi Lü, Chandikaprasad Sarkar et al.•Social Science & Medicine•2018

Obras citantes distintas44
Citas por año8,8
Intervalo de citas2021 - 2026 (6)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 44

Herramientas

Abrir DOIOpen Access
Ethnos_APP • Proyecto Open Source • Licencia MIT • Frontend v2.0.0 • Privacidad y Cookies • Documentación de la API: api.ethnos.app/docs • Código de la API: GitHub • DOI: 10.5281/zenodo.17049435 • Código del Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae