ArticleCities & health2023
Measuring changes in neighborhood disorder using Google Street View longitudinal imagery: a feasibility study.
Article in Cities & health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- 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
- The epidemiologic case for urban health: conceptualizing and measuring the magnitude of challenges and potential benefits.F1000Research · 2024Review
- Open-source data pipeline for street-view images: A case study on community mobility during COVID-19 pandemic.PloS one · 2024Article
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Authors and funding
5 authors.
Funding
Abstract
Few studies have used longitudinal imagery of Google Street View (GSV) despite its potential for measuring changes in urban streetscapes characteristics relevant to health, such as neighborhood disorder. Neighborhood disorder has been previously associated with health outcomes. We conducted a feasibility study exploring image availability over time in the Philadelphia metropolitan region and describing changes in neighborhood disorder in this region between 2009, 2014, and 2019. Our team audited Street View images from 192 street segments in the Philadelphia Metropolitan Region. On each segment, we measured the number of images available through time, and for locations where imagery from more than one time point was available, we collected 8 neighborhood disorder indicators at 3 different times (up to 2009, up to 2014, and up to 2019). More than 70% of streets segments had at least one image. Neighborhood disorder increased between 2009 and 2019. Future studies should study the determinants of change of neighborhood disorder using longitudinal GSV imagery.
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Registered trials
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