Before-after safety evaluation of engineering treatments applying econometric models for unobserved heterogeneity
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Description
This PhD thesis aimed to develop a comprehensive analytical framework for the before-after treatment evaluation utilising econometric models that address unobserved heterogeneity. This research had four objectives: (i) investigate the influence of different segmentation approaches on safety effectiveness of engineering treatments, (ii) propose a framework that considers unobserved heterogeneity in the Empirical Bayes approach, (iii) examine the performance of various engineering treatment evaluation techniques using a hypothetical and actual treatment setup, and (iv) propose a framework that estimates multiple crash types simultaneously while accounting for correlations, unobserved heterogeneity, and preponderance of zeros to evaluate a highway system.
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| ID Code: | 238367 |
|---|---|
| Item Type: | QUT Thesis (PhD) |
| Supervisor: | Haque, Md. Mazharul, Yasmin, Shamsunnahar, & King, Mark |
| Keywords: | Engineering Treatment Evaluation, Before-after study, Simulation-based Empirical Bayes approach, Full Bayes approach, Unobserved Heterogeneity, Random parameters negative binomial model, random parameters Poisson lognormal-Lindley model, Single-vehicle crashes, multi-vehicle crashes, Wide centreline treatment |
| DOI: | 10.5204/thesis.eprints.238367 |
| Pure ID: | 126588346 |
| Divisions: | Current > QUT Faculties and Divisions > Faculty of Engineering Current > Schools > School of Civil & Environmental Engineering |
| Institution: | Queensland University of Technology |
| Deposited On: | 03 Mar 2023 06:29 |
| Last Modified: | 03 Mar 2023 06:29 |
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