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Nonparametric Binary Recursive Partitioning for Deterioration Prediction of Infrastructure Elements
Joint Authors
Karlaftis, Matthew G.
Pittou, Mariza
Li, Zongzhi
Source
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
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