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You searched for +publisher:"Georgia Tech" +contributor:("Pradhananga, Nipesh"). One record found.

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Georgia Tech

1. Park, Jee Woong. Tracking for worker safety assessment.

Degree: PhD, Civil and Environmental Engineering, 2017, Georgia Tech

Despite exercising current safety practices, the construction industry has not been successful at protecting workers. Because of a dearth of effective methods for data collection, the construction industry has relied on human manual efforts, which are subjective, ineffective, and inconsistent. Furthermore, because of inadequately performed data collection and safety management process, evaluations of safety performance on a project are conducted mostly at the process or project level, not the individual level. As such data/information is not available, our understanding of individual workers’ safety performance and the overall safety performance of the project remains limited. The main objective of this dissertation is to develop a framework and methods for automate on-site data collection and safety performance evaluation of individual workers. It introduces two tracking-methodological developments and a method for assessing the safety performance of workers using tracking data. To this end, the study presents an integrated system of safety assessment that 1) uses the developed tracking module to automatically collect individual contextual data from the site, 2) analyzes these data together with pre-identified hazard data, and 3) evaluates the safety performance of individual workers. The scope of the work is limited to zone-based hazardous situations. It does not include hazards to workers while they are on the job (e.g., cutting fingers, falling from a ladder, equipment operation mistakes, electrocution). The findings of the study contribute to the body of knowledge in several ways: The proposed algorithmic development shows an effective method for indoor tracking; the safety procedural developments bridge on-site data collection and safety analysis processes; and, the safety performance index data provide safety-related information on an unprecedented level that has not been available in the industry. Thus, by augmenting our knowledge and understanding of worker safety, the developed methods should be of value to both researchers and practitioners. Advisors/Committee Members: Cho, Yong K. (advisor), Taylor, John (advisor), Tien, Iris (advisor), Vela, Patricio A. (advisor), Ahn, Changbum (advisor), Pradhananga, Nipesh (advisor).

Subjects/Keywords: Safety; Tracking; Bluetooth low energy; Sensing; BLE

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Park, J. W. (2017). Tracking for worker safety assessment. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60110

Chicago Manual of Style (16th Edition):

Park, Jee Woong. “Tracking for worker safety assessment.” 2017. Doctoral Dissertation, Georgia Tech. Accessed October 16, 2019. http://hdl.handle.net/1853/60110.

MLA Handbook (7th Edition):

Park, Jee Woong. “Tracking for worker safety assessment.” 2017. Web. 16 Oct 2019.

Vancouver:

Park JW. Tracking for worker safety assessment. [Internet] [Doctoral dissertation]. Georgia Tech; 2017. [cited 2019 Oct 16]. Available from: http://hdl.handle.net/1853/60110.

Council of Science Editors:

Park JW. Tracking for worker safety assessment. [Doctoral Dissertation]. Georgia Tech; 2017. Available from: http://hdl.handle.net/1853/60110

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