• Journal of the Korean Society of Safety
• /
• v.35 no.3
• /
• pp.16-23
• /
• 2020

The use of construction machinery has been increasing every year due to the large scale, high-rise and lack of workers in construction work. On the other hand, deaths are on the rise every year due to inadequate risk management for construction machinery work. In addition, the number of deaths caused by the lack of signals or insufficient signals during construction machinery work is increasing rapidly, and it is deemed necessary to analyze the actual conditions and take countermeasures. Therefore this study has developed the Strength Risk Index (SRI) based on the Frequency Risk Index (FRI) and the 5W1H by analyzing in-depth deaths caused by construction machinery over the past five years. The risk index (RI) was assessed using the frequency and strength risk index derived to determine whether it is acceptable (acceptable risk < 0.25 ≦ unacceptable risk) and the risk assessment method for reducing risk was proposed by applying 3E (Engineering, Education, Enforcement) measures for each level of risk for unacceptable risk. It also proposed measures to improve the system, such as requirements for signal numbers, mandatory placement standards, and mandatory installation of side and rear monitoring cameras, as measures for accidents caused by failure to deploy signals or insufficient signals, which account for the highest proportion of deaths among construction machinery operators and workers.

• Journal of the Korean Society of Fisheries and Ocean Technology
• /
• v.56 no.4
• /
• pp.340-346
• /
• 2020

In this study, the risk factors of coastal purse seine fisherman were analyzed through a survey of fishery workers of coastal purse seine fishery and the accident compensation insurance data of the fisheries workers of the National Federation of Fisheries Cooperatives (NFFC). The classified fishing operation accident data was analyzed through 4M (Man, Machine, Media, Management) model of the National Transportation Safety Board (NTSB) and the accident prevention measures were presented using Harvey's 3E (Engineering, Education, Enforcement) model. The rate of accidents on coastal purse seinens each year was 75.8‰, 36.7‰ and 74.8‰ from 2015 to 2017. The accident frequency resulting from slipping was the highest, and the risk of a contact with gear was low. When comparing each insurance data, the average value of the contact with gear accident was the highest. This research result is expected to be important data in identifying and preventing safety hazards of coastal purse seiner fisherman in the future.