Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

Kowalewski, Rick; Young, Peg

doi:10.21949/1501636

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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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Details:

Creators:

Kowalewski, Rick ; Young, Peg

Corporate Contributors:

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

Subject/TRT Terms:

[+]

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.

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PDF

Collection(s):

BTS Products

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Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

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