Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements

Joint Authors

Karlaftis, Matthew G.
Pittou, Mariza
Li, Zongzhi

Source

Advances in Civil Engineering

Issue

Vol. 2009, Issue 2009 (31 Dec. 2009), pp.1-12, 12 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2010-01-03

Country of Publication

Egypt

No. of Pages

12

Main Subjects

Civil Engineering

Abstract EN

This paper introduces binary recursive partitioning (BRP) as a method for estimating bridge deck deterioration and treats it as a classification and decision problem.

The proposed BRP method is applied to the Indiana bridge inventory database containing 25 years of detailed information on approximately 5,500 bridges on state-maintained highways.

Classification trees are separately created for 4 and 2 prediction classes and relatively high degrees of success are achieved for deck condition prediction.

The significant variables identified as the most influential include current deck condition and deck age.

The proposed method offers an alternative nonparametric approach for bridge deck condition prediction and could be used for cross comparisons of models calibrated using the widely applied parametric approaches.

American Psychological Association (APA)

Pittou, Mariza& Karlaftis, Matthew G.& Li, Zongzhi. 2010. Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements. Advances in Civil Engineering،Vol. 2009, no. 2009, pp.1-12.
https://search.emarefa.net/detail/BIM-499867

Modern Language Association (MLA)

Pittou, Mariza…[et al.]. Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements. Advances in Civil Engineering No. 2009 (2009), pp.1-12.
https://search.emarefa.net/detail/BIM-499867

American Medical Association (AMA)

Pittou, Mariza& Karlaftis, Matthew G.& Li, Zongzhi. Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements. Advances in Civil Engineering. 2010. Vol. 2009, no. 2009, pp.1-12.
https://search.emarefa.net/detail/BIM-499867

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-499867