Spatial distribution of traffic induced noise exposures in a US city: an analytic tool for assessing the health impacts of urban planning decisions
2007

Traffic Noise and Health in San Francisco

Sample size: 235 publication 10 minutes Evidence: moderate

Author Information

Author(s): Edmund Seto, Ashley Holt, Tom Rivard, Rajiv Bhatia

Primary Institution: University of California, Berkeley

Hypothesis

How does the spatial distribution of traffic-induced noise affect community health in urban areas?

Conclusion

The risk of annoyance from urban noise is large, and varies considerably between neighborhoods.

Supporting Evidence

  • Urban noise increased by 6.7 dB with a 10-fold increase in street traffic.
  • Living along arterial streets increased the risk of annoyance by 40%.
  • 17% of the city's population was estimated to be at risk of high annoyance from traffic noise.

Takeaway

Traffic noise can make people unhappy, and some neighborhoods are noisier than others, which can affect health.

Methodology

The study used traffic data and remote sensing to model noise exposure by neighborhood and road type, validated on 235 streets.

Potential Biases

Potential biases may arise from the subjective nature of annoyance measurements and the lack of recent US-based studies on community noise.

Limitations

The study faced challenges in extrapolating traffic data from measured to unmeasured streets and validating the exposure-annoyance relationship in the US context.

Participant Demographics

The study focused on neighborhoods in San Francisco, including diverse communities with varying income levels.

Statistical Information

P-Value

p<0.001

Confidence Interval

95% CI: 5.4–7.9

Statistical Significance

p<0.001

Digital Object Identifier (DOI)

10.1186/1476-072X-6-24

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