| Title | Data-Driven Risk Models Could Help Target Pipeline Safety Inspections |
|---|---|
| Record ID | 35463 |
| Personal Name Creator |
Kowalewski, Rick; Young, Peg |
| Source | BTS special report; 6p. in various pagings |
| Corporate Contributor |
United States. Department of Transportation. Bureau of Transportation Statistics; United States. Pipeline and Hazardous Materials Safety Administration |
| Publisher | United States. Department of Transportation. Bureau of Transportation Statistics |
| Publication Date | 20080701 |
| Language | English |
| 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. |
| Rosap ID | dot:34922 |
| Rosap URL | https://rosap.ntl.bts.gov/view/dot/34922 |
| TRT Terms | Inspection; Pipeline safety; Risk assessment; Statistical analysis |
| Classification | NTL - ENERGY AND ENVIRONMENT - Hazardous Materials Transportation; NTL - ENERGY AND ENVIRONMENT - Environment Impacts; NTL - REFERENCES AND DIRECTORIES - Statistics |
| Geographical Coverage |
United States |
| OCLC | 693779256 |
| TRIS Online Accession No |
1135485 |
| Report Number | SR-010 |
| Availability | BTS Products |
| Resource type | Brief |
| URL | https://ntlrepository.blob.core.windows.net/lib/35000/35400/35463/Dtaa_driven.pdf |
| Format | |
| Database | NTL Digital Repository |