ArticleJournal of urban health : bulletin of the New York Academy of Medicine2017
Validation of a Google Street View-Based Neighborhood Disorder Observational Scale.
Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed.
- Neighborhood disorder and ovarian cancer survival in Black women.American journal of epidemiology · 2025Article
- The Lot Assessment of Neighborhood Disorder Virtual Audit Tool: A Valid and Reliable Five-Item Physical Neighborhood Disorder Measure.Translational issues in psychological science · 2024Article
- Lessons Learned from a Citywide Abandoned Housing Experiment.Journal of the American Planning Association. American Planning Association · 2024Article
- Inter-observer reliability in transect-based observations of environmental waste in greater accra and kisumu: implications for waste management.International journal of environmental science and technology : IJEST · 2024Article
- Measuring changes in neighborhood disorder using Google Street View longitudinal imagery: a feasibility study.Cities & health · 2023Article
- Neighborhood conditions in a Swedish context-Two studies of reliability and validity of virtual systematic social observation using Google Street View.Frontiers in psychology · 2023Article
- Physical and social neighborhood disorder in Latin American cities: a scoping review.Cadernos de saude publica · 2023Article
- Modeling the Effect of Streetscape Environment on Crime Using Street View Images and Interpretable Machine-Learning Technique.International journal of environmental research and public health · 2022Article
- Using 164 Million Google Street View Images to Derive Built Environment Predictors of COVID-19 Cases.International journal of environmental research and public health · 2020Article
- Spatial predictive properties of built environment characteristics assessed by drop-and-spin virtual neighborhood auditing.International journal of health geographics · 2020Article
- Study of active neighborhoods in Detroit (StAND): study protocol for a natural experiment evaluating the health benefits of ecological restoration of parks.BMC public health · 2020Article
- Neighborhood Physical Disorder and Adverse Pregnancy Outcomes among Women in Chicago: a Cross-Sectional Analysis of Electronic Health Record Data.Journal of urban health : bulletin of the New York Academy of Medicine · 2019Article
- Measuring Neighborhood Order and Disorder: a Rapid Literature Review.Current environmental health reports · 2019Review
- Characterizing the Rural Opioid Use Environment in Kentucky Using Google Earth: Virtual Audit.Journal of medical Internet research · 2019Article
- Neighborhood Disorder and Obesity-Related Outcomes among Women in Chicago.International journal of environmental research and public health · 2018Article
- What calls for service tell us about suicide: A 7-year spatio-temporal analysis of neighborhood correlates of suicide-related calls.Scientific reports · 2018Article
- Mapping child maltreatment risk: a 12-year spatio-temporal analysis of neighborhood influences.International journal of health geographics · 2017Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recently, there has been a growing interest in developing new tools to measure neighborhood features using the benefits of emerging technologies. This study aimed to assess the psychometric properties of a neighborhood disorder observational scale using Google Street View (GSV). Two groups of raters conducted virtual audits of neighborhood disorder on all census block groups (N = 92) in a district of the city of Valencia (Spain). Four different analyses were conducted to validate the instrument. First, inter-rater reliability was assessed through intraclass correlation coefficients, indicating moderated levels of agreement among raters. Second, confirmatory factor analyses were performed to test the latent structure of the scale. A bifactor solution was proposed, comprising a general factor (general neighborhood disorder) and two specific factors (physical disorder and physical decay). Third, the virtual audit scores were assessed with the physical audit scores, showing a positive relationship between both audit methods. In addition, correlations between the factor scores and socioeconomic and criminality indicators were assessed. Finally, we analyzed the spatial autocorrelation of the scale factors, and two fully Bayesian spatial regression models were run to study the influence of these factors on drug-related police interventions and interventions with young offenders. All these indicators showed an association with the general neighborhood disorder. Taking together, results suggest that the GSV-based neighborhood disorder scale is a reliable, concise, and valid instrument to assess neighborhood disorder using new technologies.
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