According to the statistics of KMST (2010~2019), 68.5% of marine casualties have been occurred in fishing boats in the last 10 years. Although the incidence rate of annual average per ship is 10.4% for merchant ships and 2.3% for fishing boats, it is necessary to first reduce the marine casualties of fishing boats in order to reduce the occurrence of the whole marine casualty, considering that the number of registered fishing boats are 86.5% of the total. In this study, the top 10 fishing types with high occurring marine casualties in the past 10 years were selected using the statistics of KMST. Then, the causes of the marine casualties, focusing on the collision, were analyzed and counterplan were suggested. The biggest marine casualty that the top 10 fishing types have caused in the past 10 years was a collision, accounting for 71.7% of the total, and the rest were less than 10.0% each. Also, it was found that the biggest environment and cause of the collision were due to human factors such as poor look out or negligence of duty. Eventually, it was concluded that a reduction in the human factors for the causes basically, could lower the incidence of the marine casualties. Therefore, if the continuous and systematic correcting education of the attitude toward the ship operating of seafarers could conducted with the focus on the main human factors, the whole marine casualties will be expected to decrease gradually.

Engaged in trawling in limited fishing grounds with a number of fish schools could cause collisions between fishing vessels. Therefore, providing accurate maneuver information according to the situation could be regarded as essential for improving seafarers safety and fishing efficiency as well as safety of navigation. It is difficult to obtain all maneuver information through sea trial tests only, so a method through empirical formula is necessary. Since most empirical formulas are developed for merchant ship types, especially the characteristics of hull shape parameter like CbB/L and dCb/B etc. are clearly different between fishing vessels and merchant ships, this could occur estimation errors. Therefore, in this study, the authors have selected target fishing vessels and merchant ships and analyzed the characteristics of hull shape parameter according to the ship types. Based on this analysis, the empirical formula developed for the merchant ship type has applied to the target fishing vessels; it has verified through the turning motion simulation that the estimation error could be generated. In conclusion, it is necessary to include the characteristics of the hull shape parameter of fishing vessels in the empirical formula in order to apply the empirical formula has developed for merchant ship types to fishing vessel types.

This study classifies the types of visitors to experiential fishing villages and analyses the features and target marketing strategies by categorical groups. Seven factors are extracted by Factor Analysis and the results of Cluster Analysis indicate the classification of five groups. The first group puts emphasis on the family connection, so family centered facilities and programs are necessary. The second group is composed of surrounding area residents whose purpose of visit is unclear. So environmentally friendly village development programs to encourage local patriotism are necessary. The third group puts emphasis on the necessary facilities and programs for experiencing the fishing village and traditional play, etc. The fourth group emphasizes programs related with the region and the means to satisfy visitor's aesthetic desires. Finally, the fifth group aims at various desires that are generally felt in experiential fishing villages. So this group requires marketing strategies from the public point of view. The existing research mostly surveys rural tourism villages, but this study highlights the difference in dealing with fishing villages as opposed to rural villages, from the perspective of industry and settlement.