Understanding vehicle crashes in work zones: Analysis of workplace health and safety data as an alternative to police-reported crash data in Queensland, Australia-Reference-Cited by-同舟云学术

Understanding vehicle crashes in work zones: Analysis of workplace health and safety data as an alternative to police-reported crash data in Queensland, Australia

Published:2020-03-10 Issue:3 Volume:21 Page:222-227
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Blackman Ross¹^ORCID,Debnath Ashim Kumar²^ORCID,Haworth Narelle¹^ORCID

Affiliation:

1. Centre for Accident Research and Road Safety – Queensland (CARRS-Q), Queensland University of Technology, Brisbane, Australia;

2. School of Engineering, Deakin University, Geelong, Australia

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2020.1734190

Reference19 articles.

1. Modeling safety of highway work zones with random parameters and random effects models

2. A Tobit model for analyzing speed limit compliance in work zones

3. Common hazards and their mitigating measures in work zones: A qualitative study of worker perceptions

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Study of the necessity of a speed monitoring display at the returning chicane on a freeway bypass;Traffic Injury Prevention;2024-05-07

2. Investigation of discrepancies in South Carolina traffic collision forms;Transportation Research Interdisciplinary Perspectives;2024-05

3. State of the art in work zone safety: A systematic review;International Journal of Transportation Science and Technology;2024-03

4. Examination of Crash Rates and Injury Severity Before, During, and After Roadworks at High-Speed Regional Roads;Transportation Research Record: Journal of the Transportation Research Board;2023-04-20

5. Identification and analysis of misclassified work-zone crashes using text mining techniques;Accident Analysis & Prevention;2021-09