Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

Kowalewski, Rick; Young, Peg

doi:10.21949/1501636

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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.

i

Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

2008-07-01
By Kowalewski, Rick ; Young, Peg
Series: BTS Special Reports and Issue Briefs

[PDF-518.65 KB]

English

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Creators:

Kowalewski, Rick ; Young, Peg

Kowalewski, Rick ; Young, Peg Less -
Corporate Contributors:

United States. Department of Transportation. Bureau of Transportation Statistics ; United States. Pipeline and Hazardous Materials Safety Administration

United States. Department of Transportation. Bureau of Transportation Statistics ; United States. Pipeline and Hazardous Materials Safety Administration Less -
Subject/TRT Terms:

[+]

Inspection Pipeline Safety Risk Assessment Statistical Analysis
Publication/ Report Number:

SR-010
Series:

BTS Special Reports and Issue Briefs
DOI:

https://doi.org/10.21949/1501636
Resource Type:

Research Paper
Geographical Coverage:

United States
Corporate Publisher:

United States. Department of Transportation. Bureau of Transportation Statistics
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.
Format:

PDF
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BTS Products
Main Document Checksum:

[+]

urn:sha256:47d7e1ea6bdc0f10c7e91f1c9755efb2053e68bf988bfc9bcdc5bea105f16172
Download URL:

https://rosap.ntl.bts.gov/view/dot/34922/dot_34922_DS1.pdf
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Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

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