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Matthew R. Hallowell

Researcher at University of Colorado Boulder

Publications -  128
Citations -  5860

Matthew R. Hallowell is an academic researcher from University of Colorado Boulder. The author has contributed to research in topics: Construction site safety & Construction management. The author has an hindex of 35, co-authored 119 publications receiving 4233 citations. Previous affiliations of Matthew R. Hallowell include Oregon State University & Bucknell University.

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Enterprise Risk Management Strategies for State Departments of Transportation

TL;DR: In this article, the authors present the results of a comprehensive survey with responses from 43 of the 52 United States DOTs that identify and describe the currently implemented ERM strategies and identify executive strategies that may be useful to DOT leadership for enterprise-wide risk management.
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Methods of safety prediction: analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate

TL;DR: A unified model is proposed where the four families of safety prediction are considered together and opportunities for synergy and cross-validation are exploited and practitioners may use the model to make more accurate and robust safety predictions that account for the interconnectedness of the work attributes, human resources, and management strategies that affect safety.
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Collaborating in decision making of sustainable building design: An experimental study comparing CBA and WRC methods

TL;DR: In this article, the authors compared Choosing By Advantages (CBA) and Weighting Rating and Calculating (WRC) as multiple criteria decision making (MCDM) methods in how they support collaboration in groups, particularly pertaining to design decisions involving sustainability factors in architecture, engineering and construction industry.
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Information technology and safety: Integrating empirical safety risk data with building information modeling, sensing, and visualization technologies

TL;DR: A framework to integrate attribute-level safety risk data within existing technologies for the first time is introduced and is the first to integrate empirical risk-based safety data with construction information technologies.
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Construction Safety Risk Modeling and Simulation.

TL;DR: In this article, a genetic-inspired attribute-based conceptual framework for safety risk analysis is proposed to define, model, and simulate univariate and bivariate construction safety risk at the situational level.