Abstracts – Browse Results
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Alsamadani, R, Hallowell, M and Javernick-Will, A N (2013) Measuring and modelling safety communication in small work crews in the US using social network analysis. Construction Management and Economics, 31(06), 568-79.
Ayers, G F, Culvenor, J F, Sillitoe, J and Else, D (2013) Meaningful and effective consultation and the construction industry of Victoria, Australia. Construction Management and Economics, 31(06), 542-67.
Behm, M and Schneller, A (2013) Application of the Loughborough Construction Accident Causation model: a framework for organizational learning. Construction Management and Economics, 31(06), 580-95.
Esmaeili, B and Hallowell, M (2013) Integration of safety risk data with highway construction schedules. Construction Management and Economics, 31(06), 528-41.
Forman, M (2013) Inertia and change: lean construction and health and safety work on construction sites. Construction Management and Economics, 31(06), 647-60.
Koch, C (2013) From crew to country? Local and national construction safety cultures in Denmark. Construction Management and Economics, 31(06), 691-703.
Larsen, G D and Whyte, J (2013) Safe construction through design: perspectives from the site team. Construction Management and Economics, 31(06), 675-90.
Li, H, Chan, G and Skitmore, M (2013) Integrating real time positioning systems to improve blind lifting and loading crane operations. Construction Management and Economics, 31(06), 596-605.
Marks, E D and Teizer, J (2013) Method for testing proximity detection and alert technology for safe construction equipment operation. Construction Management and Economics, 31(06), 636-46.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2013.783705
- Abstract:
The US construction industry continues to be among the leading industries for workplace fatalities after experiencing 818 fatalities in 2009. Approximately 21% of these fatalities resulted from workers being struck by an object or piece of construction equipment. The nature of construction sites often produces hazardous conditions by requiring ground workers and heavy construction equipment to operate in close proximity. The primary objective is to present a method for testing proximity detection and alert systems. Experimental trials were designed to deploy emerging radio frequency (RF) remote sensing technology to demonstrate the ability of the test method to evaluate the capability of proximity detection and alert systems to provide alerts when heavy construction equipment and workers are in too close proximity to each other. Numerous field experiments were designed and conducted to emulate typical interactions between workers on foot and construction equipment. These devices were installed on pieces of construction equipment in an outdoor environment to evaluate the test method for proximity detection and alert systems. Experimental results show that proximity detection and alert technologies can provide alerts to equipment operators at different pre-calibrated proximity alert ranges. The results suggest that the presented testing method adequately evaluated the reliability and effectiveness of the proximity detection and alert technology in the construction environment.
Melzner, J, Zhang, S, Teizer, J and Bargstädt, H-J (2013) A case study on automated safety compliance checking to assist fall protection design and planning in building information models. Construction Management and Economics, 31(06), 661-74.
Sherratt, F, Farrell, P and Noble, R (2013) UK construction site safety: discourses of enforcement and engagement. Construction Management and Economics, 31(06), 623-35.
Tutt, D, Pink, S, Dainty, A R J and Gibb, A (2013) ‘In the air’ and below the horizon: migrant workers in UK construction and the practice-based nature of learning and communicating OHS. Construction Management and Economics, 31(06), 515-27.
Zhou, Z, Irizarry, J and Li, Q (2013) Applying advanced technology to improve safety management in the construction industry: a literature review. Construction Management and Economics, 31(06), 606-22.