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Related Experiment Video

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Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation

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Geocoding police collision report data from California: a comprehensive approach.

John M Bigham¹, Thomas M Rice, Swati Pande

¹Safe Transportation Research & Education Center, University of California, Berkeley, 2614 Dwight Way #7374, Berkeley, CA 94720-7374, USA. jbigham@berkeley.edu

International Journal of Health Geographics

|December 31, 2009

Summary

This study created a geocoded database of fatal and severe injury traffic collisions in California from 1997-2006. The resulting data enhances traffic safety and public health research through improved spatial analysis.

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Area of Science:

Traffic Safety
Geographic Information Systems (GIS)
Public Health

Background:

Collision geocoding assigns geographic coordinates to traffic incidents.
California police reports use postmile markers or intersections for location.
A geocoded database of fatal and severe injury collisions (1997-2006) was needed for public agencies.

Purpose of the Study:

To create a comprehensive geocoded database of fatal and severe injury traffic collisions in California.
To utilize the California Statewide Integrated Traffic Records System (SWITRS) for data extraction.
To provide a valuable resource for traffic safety and public health analysis.

Main Methods:

Pre-processing data using scripting for standardization.
Developing a state highway network with postmile values using custom VBA in ArcGIS.
Employing ArcGIS, StreetMap Pro, and Google Earth Pro for geocoding.

Main Results:

Identified 142,007 fatal and severe injury collisions.
Achieved a 99.8% geocoding match rate for postmile-coded collisions.
Reported an overall geocoding match rate of 91%.

Conclusions:

Geocoded collision data supports research in traffic safety and public health.
Enables studies on collision clustering and associations with environmental/social factors.
Facilitates mapping for research planning and information dissemination.