Invited Commentary: Observing Neighborhood Physical Disorder in an Age of Technological Innovation

Area of Science:

• Environmental health
• Urban studies
• Epidemiology

Background:

• Neighborhood characteristics significantly influence individual and community outcomes.
• Measuring physical disorder in neighborhoods has been resource-intensive, limiting data collection.
• Google Street View offers a novel, large-scale data source for neighborhood research.

Purpose of the Study:

• To compare the effectiveness of virtual audits using Google Street View versus traditional in-person audits for assessing neighborhood physical disorder.
• To evaluate the trade-offs in time, resources, and measurement precision between the two audit methods.

Main Methods:

• Virtual audits were conducted using Google Street View imagery.
• In-person audits were performed in Detroit, Michigan, for comparison.
• Data from both methods were analyzed to assess measurement precision and efficiency.

Main Results:

• Virtual audits demonstrated substantial reductions in time and resource requirements compared to in-person audits.
• Measurement precision was largely maintained with virtual audits, showing little to no loss.
• Google Street View facilitates scalable and cost-effective neighborhood disorder assessment.

Conclusions:

• Virtual audits are a viable and advantageous alternative for measuring neighborhood physical disorder.
• This methodology can significantly advance the study of neighborhood effects and environmental health.
• Future innovations can further enhance the utility of virtual audits in urban research.