Tree-based logistic regression approach for work zone casualty risk assessment

This study presents a tree-based logistic regression approach to assessing work zone casualty risk, which is defined as the probability of a vehicle occupant being killed or injured in a work zone crash. First, a decision tree approach is employed to determine the tree structure and interacting fact...

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Main Authors: Wang, David Zhi Wei, Weng, Jinxian., Meng, Qiang.
Other Authors: School of Civil and Environmental Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/107136
http://hdl.handle.net/10220/17683
http://dx.doi.org/10.1111/j.1539-6924.2012.01879.x
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1071362019-12-06T22:25:28Z Tree-based logistic regression approach for work zone casualty risk assessment Wang, David Zhi Wei Weng, Jinxian. Meng, Qiang. School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering This study presents a tree-based logistic regression approach to assessing work zone casualty risk, which is defined as the probability of a vehicle occupant being killed or injured in a work zone crash. First, a decision tree approach is employed to determine the tree structure and interacting factors. Based on the Michigan M-94\I-94\I-94BL\I-94BR highway work zone crash data, an optimal tree comprising four leaf nodes is first determined and the interacting factors are found to be airbag, occupant identity (i.e., driver, passenger), and gender. The data are then split into four groups according to the tree structure. Finally, the logistic regression analysis is separately conducted for each group. The results show that the proposed approach outperforms the pure decision tree model because the former has the capability of examining the marginal effects of risk factors. Compared with the pure logistic regression method, the proposed approach avoids the variable interaction effects so that it significantly improves the prediction accuracy. 2013-11-15T06:18:37Z 2019-12-06T22:25:28Z 2013-11-15T06:18:37Z 2019-12-06T22:25:28Z 2013 2013 Journal Article Weng, J., Meng, Q., & Wang, D. Z. W. (2013). Tree-based logistic regression approach for work zone casualty risk assessment. Risk analysis, 33(3), 493-504. 0272-4332 https://hdl.handle.net/10356/107136 http://hdl.handle.net/10220/17683 http://dx.doi.org/10.1111/j.1539-6924.2012.01879.x en Risk analysis
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering
spellingShingle DRNTU::Engineering::Civil engineering
Wang, David Zhi Wei
Weng, Jinxian.
Meng, Qiang.
Tree-based logistic regression approach for work zone casualty risk assessment
description This study presents a tree-based logistic regression approach to assessing work zone casualty risk, which is defined as the probability of a vehicle occupant being killed or injured in a work zone crash. First, a decision tree approach is employed to determine the tree structure and interacting factors. Based on the Michigan M-94\I-94\I-94BL\I-94BR highway work zone crash data, an optimal tree comprising four leaf nodes is first determined and the interacting factors are found to be airbag, occupant identity (i.e., driver, passenger), and gender. The data are then split into four groups according to the tree structure. Finally, the logistic regression analysis is separately conducted for each group. The results show that the proposed approach outperforms the pure decision tree model because the former has the capability of examining the marginal effects of risk factors. Compared with the pure logistic regression method, the proposed approach avoids the variable interaction effects so that it significantly improves the prediction accuracy.
author2 School of Civil and Environmental Engineering
author_facet School of Civil and Environmental Engineering
Wang, David Zhi Wei
Weng, Jinxian.
Meng, Qiang.
format Article
author Wang, David Zhi Wei
Weng, Jinxian.
Meng, Qiang.
author_sort Wang, David Zhi Wei
title Tree-based logistic regression approach for work zone casualty risk assessment
title_short Tree-based logistic regression approach for work zone casualty risk assessment
title_full Tree-based logistic regression approach for work zone casualty risk assessment
title_fullStr Tree-based logistic regression approach for work zone casualty risk assessment
title_full_unstemmed Tree-based logistic regression approach for work zone casualty risk assessment
title_sort tree-based logistic regression approach for work zone casualty risk assessment
publishDate 2013
url https://hdl.handle.net/10356/107136
http://hdl.handle.net/10220/17683
http://dx.doi.org/10.1111/j.1539-6924.2012.01879.x
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