The Highway Safety Improvement Program (HSIP) 2021: Using Data to Drive HSIP Investments
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2023-02-17
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Abstract:The first step to a safer roadway system is good data. The traditional approach to addressing traffic safety identifies safety issues after crashes occur. Using quality data to identify and mitigate contributing circumstances can reduce crash severity and help prevent future crashes. Quality data provides transportation professionals a means to make better decisions, select more strategic investments, and improve overall network safety. Two types of data-driven safety analysis help transportation agencies quantify safety impacts and identify high-risk roadways: 1. Predictive Analysis — Practitioners and the public make decisions based on a roadway’s projected safety performance using crash, roadway feature, and traffic volume data. 2. Systemic Analysis — Practitioners use crash and roadway data to identify and target improvements at locations throughout a network that share risk characteristics for serious crashes. The HSIP can help fund projects that improve the ways agencies collect and analyze data.
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