Impact of Geocoding Errors on Children's Exposure to Traffic Pollution
Author Information
Author(s): Paul A Zandbergen
Primary Institution: Department of Geography, University of South Florida
Hypothesis
How does positional error in street geocoding affect the assessment of traffic-related air pollution exposure in children?
Conclusion
The study concludes that typical street geocoding is inadequate for precise analysis of children's exposure to traffic-related air pollution.
Supporting Evidence
- Street geocoding had a median error of 41 meters, leading to significant misclassification of exposure.
- The study found that 36% of addresses could not be reliably geocoded.
- Positional errors were shown to introduce substantial bias in estimating the number of children at risk from traffic pollution.
Takeaway
This study shows that when we try to find out how much air pollution kids are exposed to from traffic, the way we pinpoint their addresses can be really wrong, making it look like more kids are at risk than there really are.
Methodology
The study compared street geocoding with parcel geocoding to assess positional errors and their impact on exposure estimates.
Potential Biases
Substantial bias was observed in the over-estimation of children at risk due to positional errors in street geocoding.
Limitations
The study's findings may not be generalizable to other areas due to the specific geocoding techniques and the high match rates of the data used.
Participant Demographics
The study focused on school children in Orange County, Florida, with a sample predominantly from urban areas.
Digital Object Identifier (DOI)
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