Evidence-Based Solutions to Reduce Law Enforcement Officer Vehicular Crashes, California, 2000-2009 (ICPSR 36752)

Version Date: Mar 16, 2023

Cite this study |

Principal Investigator(s):
Jeff Rojek, University of Texas at El Paso; Geoffrey P. Alpert, University of South Carolina

https://doi.org/10.3886/ICPSR36752.v1

Version V1

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Summary

This study uses data on officer involved vehicle collisions in the state of California from 2000 - 2009 to conduct a comprehensive analysis of these events that resulting fatal, non-fatal injury, and non-injury outcomes. This project focuses on the analysis of incident and officer level factors that influence officer-involved vehicle crash rates, including potential differential influence these factors on the fatal and non-fatal injury outcomes. The underlying goal of the resulting analysis is to better inform the law enforcement and research communities about the impact and nature of these collisions to support the development of policies, programs, and training to reduce the occurrence of such events, particularly those that result in injuries and fatalities to officers and citizens.

Citation

Rojek, Jeff, and Alpert, Geoffrey P. Evidence-Based Solutions to Reduce Law Enforcement Officer Vehicular Crashes, California, 2000-2009. Inter-university Consortium for Political and Social Research [distributor], 2023-03-16. https://doi.org/10.3886/ICPSR36752.v1

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Funding

United States Department of Justice. Office of Justice Programs. National Institute of Justice (2011-DJ-BX-3497)

Subject Terms

Geographic Coverage

Smallest Geographic Unit

State

Restrictions

Access to these data is restricted. Users interested in obtaining these data must complete a Restricted Data Use Agreement, specify the reasons for the request, and obtain IRB approval or notice of exemption for their research.

Distributor(s)

Inter-university Consortium for Political and Social Research
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Time Period(s)

2000 -- 2009

Date of Collection

2012-01-01 -- 2012-06-01

Data Collection Notes

  1. These data are a Fast Track Release, and are being re-distributed without the full ICPSR product suite. The files have been zipped for release following minimal processing. Users should consult the investigator(s) if further information is needed.

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Study Purpose

The purpose of this study is to better inform law enforcement and research communities about the impact and nature of officer involved vehicle collisions to support the development of policies, programs, and training to reduce the occurrence of such events, particularly those that result in injuries and fatalities to officers and citizens.

Study Design

The primary data for this study come from the California Statewide Integrated Traffic Record System (SWITRS), collision records from the California Department of Motor Vehicles (DMV), and records on commissioned law enforcement officers in California from CalPOST. The SWITRS data from 2000 to 2009 used in this study is collected and maintained by the California Highway Patrol (CHP). These data were merged for analysis.

Time Method

Cross-sectional

Universe

Vehicle collisions involving state and local law enforcement officers in the the State of California from 2000-2009.

Unit(s) of Observation

Organization.

Data Source

Collision records from the California Department of Motor Vehicles (DMV).

Records on commissioned law enforcement officers in California from CalPOST.

California Statewide Integrated Traffic Record System (SWITRS).

Data Type(s)

Mode of Data Collection

Description of Variables

The variables in this study provide descriptors of officer involved vehicle collisions. These variables include date, type of vehicle involved, demographics of those involved, and type of injury.

Response Rates

Not applicable.

Presence of Common Scales

None.

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Original Release Date

2023-03-16

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Weight

Not available.

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Notes

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  • One or more files in this data collection have special restrictions. Restricted data files are not available for direct download from the website; click on the Restricted Data button to learn more.