Construction Project Administration and Management for Mitigating Work Zone Accidents and Fatalities
| 项目名称： | Construction Project Administration and Management for Mitigating Work Zone Accidents and Fatalities |
| 摘要： | This research effort explores possible strategies for mitigating work zone fatalities and accidents through innovative construction project administration and management. The objective of such mitigation strategies is to address work zone safety risks before construction starts. Possible strategies for investigation include project delivery methods, innovative contracting, alternative approaches to construction scheduling, and using technology to enhance work zone setup (e.g. 3D modeling, visualization, animation). The objective of this research is to explore strategies for mitigating work zone fatalities and accidents before construction starts through construction project administration and management. Potential strategies will be identified through a literature review and interviews with transportation industry experts. The final deliverable of this study will be a listing of possible strategies, including a description of each strategy and description of how each strategy may impact a work zone. |
| 状态： | Completed |
| 资金： | 121548.00 |
| 资助组织： | Midwest Transportation Consortium |
| 执行机构： | Iowa State University, Ames |
| 开始时间： | 20080301 |
| 实际结束时间： | 20090630 |
| 主题领域： | Administration and Management；Construction；Highways；Operations and Traffic Management；Safety and Human Factors |
相关文献
- Prioritized Safety Consideration by Work Zone Types and Pilot Implementation
- Field Measurements on the Effect of Temporary Rumble Strips in Work Zone Flagging Operations
- Reducing Crash Risk at Work Zones in South Carolina
- Work Zones Evaluation of COZEEP and MAZEEP Officers in Caltrans Construction and Maintenance
- Designing a NHTSA Crash Injury Research Analog Program for General Aviation/Advanced Air Mobility
- Evaluating mobility impacts of construction workzones on Utah transportation system using machine learning techniques
检索历史
应用推荐
