CAREER: Predictive Modeling of Construction Injuries in Complex Environments - An Integrated Research, Teaching and Outreach Plan
CAREER: Predictive Modeling of Construction Injuries in Complex Environments - An Integrated Research, Teaching and Outreach Plan
批准号:
1253179
负责人:
Matthew Hallowell
金额:
$40.0万
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
项目状态:
已结题
起止时间:
2013-02-01 至 2018-01-31
中文摘要
这个教师早期职业发展(Career)项目奖的研究目标是检验一个假设,即超过一半的建筑伤害统计变化可以用建筑环境的一些固有和基本属性来解释。预测属性将通过研究美国建筑损伤报告中的可测量模式来确定,结果数据集将使用多变量统计减少到主要属性。主要属性将在数学模型中与伤害发生的概率相关,并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与视频、增强现实和构建信息模型等体验式学习模块相结合,并实施涉及多元文化合作产业-学生团队的原创教学和教学策略。如果成功,研究结果将增强对建筑伤害的根本原因的理解,并允许准确的风险预测,直接解决影响美国约6%劳动力的关键社会问题。稳健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仿真技术中。这种集成可以极大地提高对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期间客观地将安全性视为竞争标准。教育和推广活动将涉及基于研究的软件工具的开发,这些工具将与行业利益相关者和高中、本科和研究生的学生共享。该项目非常强调通过征聘西班牙裔研究助理和西班牙裔工业领袖的参与,扩大与西班牙裔社区的联系,他们将担任学生导师和研究传播的代理人。
英文摘要
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.
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会议论文
FW-HTF-RM: Improving Construction Work Performance through Human-Centered Augmented Reality
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批准号:1928398
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项目类别:Standard Grant
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资助金额:$113.79万
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财政年份:2019
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负责人:Matthew Hallowell
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依托单位:
Collaborative Research: Measuring, Predicting, and Improving Construction Safety by Improving Hazard Signal Detection with Augmented Virtual Environments
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批准号:1362263
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项目类别:Standard Grant
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资助金额:$20.96万
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财政年份:2014
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负责人:Matthew Hallowell
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依托单位:
海外基金