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Data-Driven Risk Models Could Help Target Pipeline Safety Inspections
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2008-07-01
[PDF-518.65 KB]
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Abstract:Federal safety agencies share a common problem—the need to target resources effectively to reduce risk. One way this targeting is commonly done is with a risk model that uses safety data along with expert judgment to identify and weight risk factors. In a joint effort, the U.S. Department of Transportation's Bureau of Transportation Statistics (BTS) and Pipeline and Hazardous Materials Safety Administration (PHMSA) sought to develop a new statistical approach for modeling risk by letting the data weight the data—by using the statistical relationships among the data, not expert opinion, to develop the weights.
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Main Document Checksum:urn:sha256:47d7e1ea6bdc0f10c7e91f1c9755efb2053e68bf988bfc9bcdc5bea105f16172
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