Reliability of Safety Management Methods: Diagnosis
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Reliability of Safety Management Methods: Diagnosis

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English

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  • Abstract:
    High quality data and reliable analytical methods are the foundation of data-driven decision-making. The Reliability of Safety Management Methods series includes five information guides that identify opportunities to employ state-of-the-art (more reliable) methods to support decisions throughout the roadway safety management process. Four of the guides focus on specific components of the Roadway Safety Management process: network screening, diagnosis, countermeasure selection, and safety effectiveness evaluation. The fifth guide focuses on the systemic approach to safety management, which describes a complimentary approach to the methods described in the network screening, diagnosis, and countermeasure selection guides. The purpose of the Reliability of Safety Management Methods series is to demonstrate the value of more reliable methods in these activities, and demonstrate limitations of traditional (less reliable) methods. The Reliability of Safety Management Methods: Diagnosis information guide describes various methods and the latest tools to support diagnosis. The target audience includes data analysts, project managers, and program managers involved in projects that impact highway safety. The objectives of this information guide are to 1) raise awareness of more reliable methods, and 2) demonstrate through examples the value of more reliable methods in diagnosis. This information guide compares more reliable diagnosis methods to traditional methods which are more susceptible to bias and may result in less effective decisions. Readers will understand the value of and be prepared to select more reliable methods in diagnosis. The remainder of this information guide includes five sections. The first section introduces the roadway safety management process and diagnosis. The second section provides an overview of the diagnosis process and various methods to enhance the process. The third section demonstrates the value of more reliable methods for diagnosing safety issues. Examples highlight the benefits of more reliable methods, which will likely lead to better-informed decisions, more optimal use of funds, and the implementation of more effective treatments. The fourth section summarizes the data requirements for diagnosis . The final section describes available tools and resources to support diagnosis.
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