KHIT 154: Understanding the Social Determinants of Health and the Roadway Environment on Behavioral Crashes

Grants and Contracts Details

Description

Abstract Understanding the Social Determinants of Health and the Roadway Environment on Behavioral Crashes To understand the independent and combined effects of SDOH and the roadway environment on behavioral crashes occurring on roadways in Kentucky. The proposed project will be carried out in two related but independent phases To investigate SDOH and roadway environmental factors contributing to behavioral crashes, we will utilize the dataset created in SPR 21-601 in combination with additional available SDOH (Census community resilience estimates, CDC Social Vulnerability Index, etc.) and built environment (ESRI Community Analyst, ESRI Business Analyst, etc.) data sources. These datasets will provide additional data elements on community resilience, community health, and the built environment not previously investigated in SPR 21-601. Using more translatable and complex statistical models (e.g., mixed models and risk ratios) risk will be assessed, in terms of both likelihood and severity of crashes, across urban and rural geographies through the analysis of behavior-specific crashes. Behavior-specific safety performance functions (developed in SPR 21-601) will be incorporated in the identification of priority roadway segments likely to benefit from focused enforcement and other behavior modification strategies. To investigate SDOH and roadway environmental factors contributing to behavioral crashes, we will utilize the dataset created in SPR 21-601 in combination with additional available SDOH (Census community resilience estimates, CDC Social Vulnerability Index, etc.) and built environment (ESRI Community Analyst, ESRI Business Analyst, etc.) data sources. These datasets will provide additional data elements on community resilience, community health, and the built environment not previously investigated in SPR 21-601. Using more translatable and complex statistical models (e.g., mixed models and risk ratios) risk will be assessed, in terms of both likelihood and severity of crashes, across urban and rural geographies through the analysis of behavior-specific crashes. Behavior-specific safety performance functions (developed in SPR 21-601) will be incorporated in the identification of priority roadway segments likely to benefit from focused enforcement and other behavior modification strategies
StatusActive
Effective start/end date1/1/233/31/25

Funding

  • KY Transportation Cabinet: $324,562.00

Fingerprint

Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.