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Informing the Work Zone Safety Policy Analysis: Reconciling Multivariate Prediction and Artificial Neural Network Modeling
| 题名： | Informing the Work Zone Safety Policy Analysis: Reconciling Multivariate Prediction and Artificial Neural Network Modeling |
| 正文语种： | eng |
| 作者： | Amin Shaer;Ahmadreza Talebian;Sabyasachee Mishra |
| 作者单位： | Dept. of Transportation Engineering Isfahan Univ. of Technology Isfahan 84156-83111 Iran;Dept. of Transportation Engineering Isfahan Univ. of Technology Isfahan 84156-83111 Iran;Dept. of Civil Engineering Univ. of Memphis 112D Engineering Science B |
| 关键词： | Multivariate prediction; Policy prioritization; Work zone crashes; Artificial Neural Network modeling; Variable importance analysis; Crash causal factors |
| 摘要： | Work zone safety, as an issue requiring complex solutions and tech-driven investment, has been a major concern for transportation agencies and policymakers. To help decision-makers prioritize investments, there is a need for tools enabling them to assess |
| 出版年： | 2024 |
| 期刊名称： | Journal of Transportation Engineering, Part A: Systems |
| 卷： | 150 |
| 期： | 2 |
| 页码： | 04023137.1-04023137.13 |
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