Data-Driven Risk Models Could Help Target Pipeline Safety Inspections

Kowalewski, Rick; Young, Peg

doi:10.21949/1501636

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

File Language:

English

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:

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:

Brief
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
Collection(s):

BTS Products
Main Document Checksum:

urn:sha-512:1d1ed498712a986e2e3bdcea1a9e6e93fdf4555e534fd451188f52d627857ec01b18219ef40aab99143b745fceb40a496cdf010c503732c199e1036279dd69da
Download URL:

https://rosap.ntl.bts.gov/view/dot/34922/dot_34922_DS1.pdf
File Type:

[PDF - 518.65 KB ]

File Language:

English

ON THIS PAGE

Details Related Documents

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.