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Table 3: Comparison of Model Results using Mean Absolute Deviation for Hazardous Liquid Pipelines

Table 3: Comparison of Model Results using Mean Absolute Deviation for Hazardous Liquid Pipelines

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Model Description MAD
Nave
model
Previous year's incident
count
1.0
Mileage
alone
Modeled with negative
binomial
1.0
PIPP rank As presently used by PHMSA 7.6
PIPP total score Modeled with negative
binomial
2.0
PIPP
input variables
Modeled with negative
binomial
1.1
PIPP output variables
(L-scores)
Used to calculate PIPP
components and modeled with negative binomial
3.2
Inherent risk - using pipeline
data
Infrastructure variables
from annual reports and modeled with negative binomial
1.0
Performance
risk - using inspection data about operators
Inspection results from IM
inspections
1.5
Historical
risk - using incident data
Number of past three year's
incidents, modeled with orthogonal regression
1.1

SOURCE: U.S. Department of Transportation, Research and
Innovative Technology Administration, Bureau of Transportation Statistics, http://www.bts.gov.

Updated: Sunday, May 21, 2017