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Small Study Program -- What's Next?
Studies currently underway with support from CPWR's Small Study Program are looking at a wide range of issues, including:
- Application of end-of-shift respirable crystalline silica monitoring to construction (Zefon International). The aim of this study is to obtain experimental data, which can be used to determine the likelihood that a novel method for determining worker’s exposure to respirable crystalline silica being developed for the Mining Sector may have applicability to the Construction Sector.
- Embodied safety awareness system: Embodied cognition through an artificial sensor system for improved awareness for hazards (University of Nevada Las Vegas). The research goal is in line with nationwide efforts and directions in safety: develop a prototype embedded safety communication system (ESCS) to provide workers with a new ability to sense hazards. These tactile-based signals will provide a sensing ability beyond their innate-sensing abilities (e.g., vision and audio), which previous research found inadequate in certain construction environments.
- Impacts of policy changes on worker safety outcomes in NYC construction sites (Cornell University). This study will assess the impact of policy changes resulting from the enactment of New York City’s Local Law 196 in October of 2017. The law links building permit issuance and renewal to compliance with new safety training requirements. The new policy has a specific goal of promoting access to training for at-risk workers, who include largely immigrant construction workers.
- Recent trenching accidents, analysis of their causes, and recommendations to reduce their occurrence (Ruth Ruttenberg & Associates). The study will analyze data of recent trenching fatalities to better understand the reasons for the increases in fatalities. It will also collect and explore success stories, evaluate barriers to better safety, and develop both short-term and longer-term strategies to prevent death from trenching cave-ins.
- UAS4Safety: Using unmanned aerial systems for automated fall hazard monitoring in high-rise construction projects (University of Florida). The objective of this study is to collect real-time video feed of the construction site using an unmanned aerial system, generating point-cloud data using videogrammetric technique, and developing and testing an algorithm to process spatial point cloud data and identify fall hazards.