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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.
- Type: Journal Article
- Keywords:
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2012.739288
- Abstract:
The construction industry is characterized by a relatively high injury and illness rate compared to other industries. Within the construction industry, the highway construction and maintenance sector is one of the most dangerous. To improve safety in this sector, proactive methods of safety improvement and reliable risk data are needed. The safety risk quantification is the first step towards integrating safety data into design and planning. To enhance the current preconstruction safety practices, safety risks of highway construction and maintenance tasks were quantified and a decision support system was developed and tested that integrates safety risk data into the project schedules. Relative safety risks were quantified for 25 common highway construction tasks using the Delphi method. To ensure valid and reliable results, experts were selected according to rigorous requirements and multiple controls were employed to decrease cognitive biases. The data were incorporated into a decision support system called Scheduled-based Safety Risk Assessment and Management (SSRAM) that facilitates integration of safety risk data with project schedules. The resulting data-driven system produces predictive plots of safety risk over time based on the temporal and spatial interactions among concurrent activities. To test the utility of the decision support system and the validity of the underlying risk data, the system was tested on 11 active case study projects in the US. It was found that the database and associated decision support tool produce accurate and reliable risk forecasts that increase the viability of existing safety preconstruction activities.
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.
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.