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A citizen science toolkit to collect human perceptions of urban environments using open street view images
11 references·1 citing·48 second hop
A citizen science toolkit to collect human perceptions of urban environments using open street view images (2024)A citizen science toolkit to collect huma…To use or not to use proprietary street view images in (health and place) research? That is the question (2024)To use or not to use propriet…An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach (2023)An examination of the spatial…A comprehensive framework for evaluating the quality of street view imagery (2022)A comprehensive framework for…Street view imagery in urban analytics and GIS: A review (2021)Street view imagery in urban …Places for play: Understanding human perception of playability in cities using street view images and deep learning (2021)Places for play: Understandin…The State of Mapillary: An Exploratory Analysis (2019)The State of Mapillary: An Ex…Systematic review of the use of Google Street View in health research: Major themes, strengths, weaknesses and possibilities for future research (2018)Systematic review of the use …Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits? (2010)Can Virtual Streetscape Audit…Analyzing Accessibility Dimension of Urban Quality of Life: Where Urban Designers Face Duality Between Subjective and Objective Reading of Place (2009)Analyzing Accessibility Dimen…Come take a walk with me: The “Go-Along” interview as a novel method for studying the implications of place for health and well-being (2008)Come take a walk with me: The…Taking Online Maps Down to Street Level (2007)Taking Online Maps Down to St…Validating Pedestrian Infrastructure Data: How Well Do Street-View Imagery Audits Compare to Government Field Data? 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A Comparative Study of OpenStreetMap and Ordnance Survey Datasets (2010)Spatial, temporal, and socioeconomic patterns in the use of Twitter and Flickr (2013)Do-It-Yourself Street Views and the Urban Imaginary of Google Street View (2021)Incorporating networks in semantic understanding of streetscapes: Contextualising active mobility decisions (2022)“streetscape” package in R: A reproducible method for analyzing open-source street view datasets and facilitating research for urban analytics (2024)Geographically Weighted Regression: The Analysis of Spatially Varying Relationships (2002)The Importance of Play in Promoting Healthy Child Development and Maintaining Strong Parent-Child Bonds (2007)The Death and Life of Great American Cities (2015)Adolescents' environmental perceptions mediate associations between streetscape environments and active school travel (2022)Mapping the landscape and roadmap of geospatial artificial intelligence (GeoAI) in quantitative human geography: An extensive systematic review (2024)Measuring cyclists’ subjective perceptions of the street riding environment using K-means SMOTE-RF model and street view imagery (2024)The Uncertain Geographic Context Problem (2012)Examining the socio-spatial patterns of bus shelters with deep learning analysis of street-view images: A case study of 20 cities in the U.S. (2024)Cross-platform complementarity: Assessing the data quality and availability of Google Street View and Baidu Street View (2025)Toward satisfactory public accessibility: A crowdsourcing approach through online reviews to inclusive urban design (2025)‘Why bother seeing the world for real?’: Google Street View and the representation of a stigmatised neighbourhood (2012)Property regimes and the commodification of geographic information: An examination of Google Street View (2016)Industry emergence and market capture: The rise of autonomous vehicles (2022)Assessing bikeability with street view imagery and computer vision (2021)Examining the association between the built environment and pedestrian volume using street view images (2022)Quality of crowdsourced geospatial building information: A global assessment of OpenStreetMap attributes (2023)Crowdsourcing Geospatial Data for Earth and Human Observations: A Review (2023)Coverage and bias of street view imagery in mapping the urban environment (2025)
this work references cited by second hop

References

  • 2008Come take a walk with me: The “Go-Along” interview as a novel method for studying the implications of place for health and well-being1,106 cited
  • 2021Street view imagery in urban analytics and GIS: A review942 cited
  • 2018Systematic review of the use of Google Street View in health research: Major themes, strengths, weaknesses and possibilities for future research275 cited
  • 2010Can Virtual Streetscape Audits Reliably Replace Physical Streetscape Audits?240 cited
  • 2021Places for play: Understanding human perception of playability in cities using street view images and deep learning105 cited
  • 2007Taking Online Maps Down to Street Level102 cited
  • 2009Analyzing Accessibility Dimension of Urban Quality of Life: Where Urban Designers Face Duality Between Subjective and Objective Reading of Place102 cited
  • 2022A comprehensive framework for evaluating the quality of street view imagery83 cited
  • 2023An examination of the spatial coverage and temporal variability of Google Street View (GSV) images in small- and medium-sized cities: A people-based approach52 cited
  • 2019The State of Mapillary: An Exploratory Analysis44 cited
  • 2024To use or not to use proprietary street view images in (health and place) research? That is the question41 cited

Cited by

  • 2025Validating Pedestrian Infrastructure Data: How Well Do Street-View Imagery Audits Compare to Government Field Data?9 cited

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