课题基金 / 基金详情

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
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:
$40.0万
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

项目摘要

项目成果

Matthew Hallowell的其他基金

相似基金

相关文献

中文摘要
翻译
该学院早期职业发展(Career)项目奖的研究目标是检验这样一个假设,即建筑工伤统计中超过一半的可变性可以由建筑环境的一些固有和基本属性来解释。预报器属性将通过研究美国建筑工伤报告中的可测量模式来确定,结果数据集将使用多元统计减少到主要属性。主要属性将与数学模型中发生伤害的概率相关,基本假设将通过将这些模型的预测与实际项目结果进行比较来验证。教学目标是通过视频、增强现实和构建信息模型将新的研究知识融入体验式学习模块,并实施原创的教学和语言教学战略,涉及合作的跨文化行业-学生团队。如果成功,研究结果将加强对建筑工伤根本原因的了解,并实现准确的风险预测,直接解决影响大约6%美国劳动力的关键社会关切。稳健和有效的预测模型将有助于将安全风险分析整合到新兴的可视化和模拟技术中。这样的集成可能会极大地改进复杂项目的主动危险识别、优先排序和控制,并允许在设计和规划过程中客观地将安全作为竞争标准。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和高中、本科生和研究生共享。该项目非常重视通过招聘西班牙裔研究助理和西班牙裔行业领导人的参与,向拉美裔社区进行外联,他们将担任研究传播的学生导师和代理人。
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.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
FW-HTF-RM: Improving Construction Work Performance through Human-Centered Augmented Reality
  • 批准号:
    1928398
  • 项目类别:
    Standard Grant
  • 资助金额:
    $113.79万
  • 财政年份:
    2019
  • 负责人:
    Matthew Hallowell
  • 依托单位:
Collaborative Research: Measuring, Predicting, and Improving Construction Safety by Improving Hazard Signal Detection with Augmented Virtual Environments
  • 批准号:
    1362263
  • 项目类别:
    Standard Grant
  • 资助金额:
    $20.96万
  • 财政年份:
    2014
  • 负责人:
    Matthew Hallowell
  • 依托单位:
海外基金