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Crash data availability and best practices across the United States.
Hannah Younes1, Robert B Noland1
1Edward J. Bloustein School of Planning and Public Policy, Rutgers, The State University of New Jersey, New Brunswick, New Jersey.
Many states lack accessible crash data, hindering public safety and research. This study identifies best practices for open crash data management and accessibility to improve road safety analysis and policy.
Area of Science:
- Transportation Safety
- Data Management
- Public Health
Background:
- Limited public access to state-level crash data, excluding fatal incidents, impedes safety analysis and policy development.
- The Fatality Analysis Reporting System (FARS) provides fatal crash data, but comprehensive injury and non-fatal crash data remain largely inaccessible.
- Public and research communities require accessible crash data to understand incident causes and advocate for safety improvements.
Purpose of the Study:
- To assess the current availability of state-level crash data across the United States.
- To identify best practices for managing and disseminating open crash data.
- To guide policymakers and experts in enhancing data accessibility for improved traffic safety.
Main Methods:
- Conducted a nationwide review of publicly available raw crash data and online dashboards.
- Performed structured interviews with state crash data custodians and data users.
- Compiled a national database detailing the characteristics of open crash data initiatives.
Main Results:
- A comprehensive database of open crash data availability was created and made publicly accessible.
- Interviews revealed significant challenges in data quality control, usability, and inter-agency collaboration.
- Identified political and financial constraints impacting data transparency and accessibility.
Conclusions:
- Linking crash data with other datasets, such as injury surveillance, is crucial for comprehensive analysis.
- Fostering partnerships between academic institutions, advocacy groups, and government agencies is essential.
- Addressing quality control and data management challenges is vital for effective traffic safety interventions.
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