Because the damages of corrosion resulting from the chloride ion are very serious, many research studies have been performed to measure the penetration depth of the chloride ion. However, there is a problem with data selection obtained from collection during experiments. In this study, it appears that the collected data are not conformed to a normal distribution. The result of this study will play a very important role, as a first step for the development and construction of a forecasting system to help determine a reliable service lifetime of marine structures.

To verify the effect of driver's personal characteristics of driver on the accident frequency through railway accidents caused by human errors and the relationship with aptitude test. To prove the relevance between the driver's personal characteristics and human error accidents. Accident data from 2010 to 2011 was analyzed which collected from a train crew department in K national corporation, and 31 drivers gave an personal interview from Sep. 2011 to Nov. 2011 who had controlled a train alone and caused an accident. Compared between driver's personal characteristics and accident rate, and accident induction possibility surveyed from normal person and disqualified in aptitude tests. Accidents was occurred with the age 40s (27%) and 50s (25%), and with the experience between 15 years and 20 years (38%) and over 20 years (30%). Because more aged, more experienced, it can be seen in the correlation between driver's age and accidents induction caused by human errors like illusion. First of all it must be checked whether working conditions and environmental factors are human error-prone. Most accidents occur when received civil complaints or manager at the riding. Therefore accidents can be prevented when investigated through subsequent surveys how often human error happens, even though no accident, and safety device installed based on the error frequency.

Due to the industrialization and urbanization, the transport of hazardous materials increases, which rises possibilities in occurring prospective accidents in terms of hazardous material transport as well. This study applied the model developed from the previous research to analyze the scale of damage areas from the accidents related to hazardous material accidents, as well as suggested a method to measure automatically the scale of accident including casualties and environmental damage based on the guideline which suggests the quantities of hazardous materials exposed from an accident and was defined in the study of standardization for hazardous material classification. A buffering analysis technique of Geographic Information System (GIS) was applied for that. To apply the model which evaluates the scale of population and exposure to environment on each link, rail network, zones, rail accident data, rail freight trips, and locations of rivers etc were complied as a database for GIS analysis. In conclusion, a method to measure damage areas by the types of hazardous materials was introduced using a Clip and a Special Join technique for overlay analysis.

  Enhanced machine reliability has dramatically reduced the rate and number of railway accidents but for further reduction human error should be considered together that accounts for about 20% of the accidents. Therefore, the objective of this study was t