ArticleJournal of urban health : bulletin of the New York Academy of Medicine2020
Assessing Google Street View Image Availability in Latin American Cities.
Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Neighborhood disorder and ovarian cancer survival in Black women.American journal of epidemiology · 2025Article
- Advancing equitable and sustainable urban health.Nature medicine · 2025Review
- Built Environment Change over Time Using Google Street View Assessments of Hispanic Community Health Study/Study of Latinos (HCHS/SOL) Cities.Journal of urban health : bulletin of the New York Academy of Medicine · 2025Article
- [Neighborhood characteristics in Belo Horizonte, Minas Gerais State, Brazil: an intraurban analysis using systematic social observation method].Cadernos de saude publica · 2025Article
- Virtual Assessment of Physical Activity-Related Built Environment in Soweto, South Africa: What Is the Role of Contextual Familiarity?Journal of urban health : bulletin of the New York Academy of Medicine · 2024Article
- Physical and social neighborhood disorder in Latin American cities: a scoping review.Cadernos de saude publica · 2023Article
- Measuring changes in neighborhood disorder using Google Street View longitudinal imagery: a feasibility study.Cities & health · 2023Article
- A 10 m resolution urban green space map for major Latin American cities from Sentinel-2 remote sensing images and OpenStreetMap.Scientific data · 2022Article
- Validating a spatio-temporal model of observed neighborhood physical disorder.Spatial and spatio-temporal epidemiology · 2022Article
- Google street view image availability in the Bronx and San Diego, 2007-2020: Understanding potential biases in virtual audits of urban built environments.Health & place · 2021Article
- Improving spatial data in health geographics: a practical approach for testing data to measure children's physical activity and food environments using Google Street View.International journal of health geographics · 2021Article
- Modelling and mapping eye-level greenness visibility exposure using multi-source data at high spatial resolutions.The Science of the total environment · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Virtual audits using Google Street View are an increasingly popular method of assessing neighborhood environments for health and urban planning research. However, the validity of these studies may be threatened by issues of image availability, image age, and variance of image age, particularly in the Global South. This study identifies patterns of Street View image availability, image age, and image age variance across cities in Latin America and assesses relationships between these measures and measures of resident socioeconomic conditions. Image availability was assessed at 530,308 near-road points within the boundaries of 371 Latin American cities described by the SALURBAL (Salud Urbana en America Latina) project. At the subcity level, mixed-effect linear and logistic models were used to assess relationships between measures of socioeconomic conditions and image availability, average image age, and the standard deviation of image age. Street View imagery was available at 239,394 points (45.1%) of the total sampled, and rates of image availability varied widely between cities and countries. Subcity units with higher scores on measures of socioeconomic conditions had higher rates of image availability (OR = 1.11 per point increase of combined index, p < 0.001) and the imagery was newer on average (- 1.15 months per point increase of combined index, p < 0.001), but image capture date within these areas varied more (0.59-month increase in standard deviation of image age per point increase of combined index, p < 0.001). All three assessed threats to the validity of Street View virtual audit studies spatially covary with measures of socioeconomic conditions in Latin American cities. Researchers should be attentive to these issues when using Street View imagery.
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