CAREER: Predictive Modeling of Construction Injuries in Complex Environments - An Integrated Research, Teaching and Outreach Plan

职业：复杂环境中建筑工伤的预测建模 - 综合研究、教学和推广计划

• 批准号: 1253179
• 负责人: Matthew Hallowell
• 金额: $ 40万
• 依托单位: University of Colorado at Boulder
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2013
• 资助国家: 美国
• 起止时间: 2013-02-01 至 2018-01-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1253179&HistoricalAwards=false
• 关键词: CAREER; Predictive; Modeling; Construction; Injuries

The research objective of this Faculty Early Career Development (CAREER) program award is to test the hypothesis that over half of the variability in construction injury statistics can be explained by a few inherent and basic attributes of construction environments. Predictor attributes will be identified by studying measurable patterns in US construction injury reports and the resulting dataset will be reduced to principal attributes using multivariate statistics. Principal attributes will be related to the probability of injury occurrence in mathematical models and the underlying hypothesis will be validated by comparing the predictions of these models with actual project outcomes. The teaching objectives are to incorporate new research knowledge into experiential learning modules with videos, augmented reality, and building information models and to implement an original pedagogical and andragogical instruction strategy that involves collaborative multicultural industry-student teams. If successful, the research results will enhance understanding of the fundamental causes of construction injuries and allow for accurate risk forecasts, directly addressing a critical societal concern that affects approximately six percent of the US workforce. Robust and valid predictive models will facilitate the integration safety risk analysis into emerging visualization and simulation technologies. Such integration may drastically improve proactive hazard recognition, prioritization, and control of complex projects and allow safety to be objectively considered as a competing criterion during design and planning. Educational and outreach activities will involve the development of research-based software tools that will be shared with industry stakeholders and students at high school, undergraduate, and graduate levels. The project places strong emphasis on outreach to the Hispanic community through recruitment of Hispanic research assistants and involvement of Hispanic industry leaders who will serve as student mentors and agents for research dissemination.

该学院早期职业发展（CAREER）计划奖的研究目标是检验以下假设：建筑伤害统计数据的一半以上的变异性可以通过建筑环境的一些固有和基本属性来解释。将通过研究美国建筑伤害报告中的可测量模式来确定预测属性，并将使用多元统计数据将所得数据集简化为主要属性。主要属性将与数学模型中发生伤害的概率相关，并且通过将这些模型的预测与实际项目结果进行比较来验证基本假设。教学目标是将新的研究知识融入视频、增强现实和构建信息模型的体验式学习模块中，并实施涉及多元文化行业学生团队协作的原创教学和教学指导策略。如果成功，研究结果将加深对建筑工伤根本原因的了解，并进行准确的风险预测，直接解决影响约 6% 的美国劳动力的关键社会问题。稳健且有效的预测模型将有助于将安全风险分析集成到新兴的可视化和模拟技术中。这种集成可以极大地改善复杂项目的主动危险识别、优先级排序和控制，并允许在设计和规划过程中客观地将安全性视为竞争标准。教育和推广活动将涉及开发基于研究的软件工具，这些工具将与行业利益相关者以及高中、本科和研究生级别的学生共享。该项目非常重视通过招募西班牙裔研究助理和西班牙裔行业领袖的参与来扩大西班牙裔社区的影响力，他们将担任学生导师和研究传播代理。