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Worksite accidents in the construction and infrastructure industries result in cost overruns and schedule downtimes. Previous research has analyzed cost and schedule deviations caused by worksite accidents within these industries. However, a quantitative analysis of accidents at the subsector level and comparisons at the organizational level have yet to be undertaken. Toward this aim, worksite accident data are collected across different industry subsectors and organizations of different sizes, and an integrated risk register is constructed to capture cost and schedule deviations caused by worksite accidents. The findings indicate that structural and installation services are the main contributors to workplace accidents in terms of cost and time deviations. Moreover, organizational size is an important factor in the impact analysis of worksite accidents. Large organizations in the structural services were found to make a significant impact on cost overruns and schedule downtimes. They are followed by small organizations in the installation services subsector and medium/large organizations in the heavy and civil engineering subsector. The findings in this study reveal that improvements and investments in safety training and workplace communications are needed for efficient accident prevention. [ABSTRACT FROM AUTHOR]

The advanced programmatic risk analysis and management model (APRAM) is one of the recently developed methods that can be used for risk analysis and management purposes considering schedule, cost, and quality risks simultaneously. However, this model considers those failure risks that occur only over the design and construction phases of a project's life cycle. While it can be sufficient for some projects for which the required cost during the operating life is much less than the budget required over the construction period, it should be modified in relation to infrastructure projects because the associated costs during the operating life cycle are significant. In this paper, a modified APRAM is proposed, which can consider potential risks that might occur over the entire life cycle of the project, including technical and managerial failure risks. Therefore, the modified model can be used as an efficient decision-support tool for construction managers in the housing industry in which various alternatives might be technically available. The modified method is demonstrated by using a real building project, and this demonstration shows that it can be employed efficiently by construction managers. The Delphi method was applied in order to figure out the failure events and their associated probabilities. The results show that although the initial cost of a cold-formed steel structural system is higher than a conventional construction system, the former's failure cost is much lower than the latter's. [ABSTRACT FROM AUTHOR]

The advanced programmatic risk analysis and management model (APRAM) is one of the recently developed methods that can be used for risk analysis and management purposes considering schedule, cost, and quality risks simultaneously. However, this model considers those failure risks that occur only over the design and construction phases of a project's life cycle. While it can be sufficient for some projects for which the required cost during the operating life is much less than the budget required over the construction period, it should be modified in relation to infrastructure projects because the associated costs during the operating life cycle are significant. In this paper, a modified APRAM is proposed, which can consider potential risks that might occur over the entire life cycle of the project, including technical and managerial failure risks. Therefore, the modified model can be used as an efficient decision-support tool for construction managers in the housing industry in which various alternatives might be technically available. The modified method is demonstrated by using a real building project, and this demonstration shows that it can be employed efficiently by construction managers. The Delphi method was applied in order to figure out the failure events and their associated probabilities. The results show that although the initial cost of a cold-formed steel structural system is higher than a conventional construction system, the former's failure cost is much lower than the latter's. [ABSTRACT FROM AUTHOR]