Climate Resilience Risk Assessment Tool and Guide: Literature Review, Technology Scan, and Interviews Report
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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.
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Climate Resilience Risk Assessment Tool and Guide: Literature Review, Technology Scan, and Interviews Report



English

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    Literature and Practice Review
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  • Abstract:
    The purpose of this report is to identify current and emerging data collection, infrastructure surveillance and monitoring technologies, and similar approaches for monitoring changing environmental and weather conditions. In addition, the report examines the use of risk-based analysis tools to identify road locations potentially vulnerable to such changing conditions. The primary audiences for this report include transportation agency operations and maintenance managers and staff, transportation officials interested in strategies to minimize the impacts of extreme weather events, and those interested in the application of sensing and data collection technologies to manage better transportation system performance. The report is based on a literature review, technology scan, and on staff interviews from 10 transportation agencies. Most of the technology and practices identified in this report focused on flood monitoring and winter maintenance operations. From a technological perspective, research suggests that many of the challenges of advancing road weather management systems can be overcome with the application of current database management technologies and practices. Piggybacking on current and understood practices in State DOTs seems to be the major focus of many States. The use of nontraditional technologies as data collection platforms is another notable characteristic of the literature, e.g., use of unmanned aerial vehicles and automated/connected vehicles. There are very few examples of quantitative, risk-based approaches or practices in support of transportation decision making. This is particularly true for traffic and system operations. Most of the literature relating to extreme weather, climate change, and transportation system resiliency, especially the earliest citations, provide general descriptions of potential threats and of possible strategies to minimize the threats. In general, the literature review and interviews suggest that there is still a lack of understanding of risk-based planning and analysis.
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    Filetype[PDF-1.67 MB]

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