Enhancing Safety and Well Being of Aging Workforce within the Transportation Sector: An Association Rule Data Mining Approach for Understanding Causes and Impacts of Worker Compensation Claims
Increase of freight transportation has been on the rise in region 7. Thus, creating a motive to enhance the transportation system of the said region. Construction projects have been a key factor in the development of the transportation system. Such projects have faced safety incidents that would in turn deter the enhancement of the transportation sector. In fact, the examined literature has demonstrated the importance of a high safety factor to ensure a project’s success. As such, this study shall undergo a content analysis of claims filed to the workers compensation divisions within United States Department of Transportation (USDOT) region 7 to identify the most prominent incident causes, contributing factors, types, severity of injuries sustained as well as claim decisions. Furthermore, an association rule data mining approach will be adopted to identify the most critical combinations of causes and factors that contribute to safety incidents. Accordingly, these combinations and factors will be used to derive the most effective safety policies and mitigation resources allocation plans to reduce fatalities and serious injuries in the sector, in addition to potentially boosting employment and workforce retention.
Language
- English
Project
- Status: Active
- Funding: $210001
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Contract Numbers:
69A3552348307
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Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Managing Organizations:
Mid-America Transportation Center
University of Nebraska-Lincoln
2200 Vine Street, PO Box 830851
Lincoln, NE United States 68583-0851 -
Performing Organizations:
Missouri University of Science & Technology, Rolla
Department of Engineering
202 University Center
Rolla, MO 65409 -
Principal Investigators:
El-Adaway, Islam
- Start Date: 20230601
- Expected Completion Date: 20240731
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers Program
Subject/Index Terms
- TRT Terms: Data mining; Injury causes; Insurance claims; Occupational safety; Workers compensation; Workforce
- Subject Areas: Data and Information Technology; Safety and Human Factors; Transportation (General);
Filing Info
- Accession Number: 01908388
- Record Type: Research project
- Source Agency: Mid-America Transportation Center
- Contract Numbers: 69A3552348307
- Files: UTC, RIP
- Created Date: Feb 19 2024 4:36PM