Safety Analysis of Motorcycle Crashes in Seoul Metropolitan Area, South Korea: An Application of Nonlinear Optimal Scaling Methods.

This study identifies the critical factors that affect motorcycle crash severity based on Korean motorcycle crash data in 2009. Motorcyclists, the environment, roadways, other vehicles involved in the crashes, and traffic flow characteristics were used as variables for identifying critical factors. Multivariable statistical methods were used to analyze the data, including categorical principal components analysis (CatPCA) and nonlinear canonical correlation analysis (NLCCA). The results indicate that the following factors are the most critical in increasing motorcycle crash severity: age (motorcyclists in their teens and over fifty years old), motorcycle speed over 30 km/h, speed over 50 km/h for other vehicles involved in the crash, crashes with heavy vehicles such as buses and trucks, crashes on roadways less than six meters wide, crashes at curved sections, crashes at basic roadway segments without any speed control facilities, and head-on crashes. These findings are expected to serve as a valuable reference for formulating remedial policy measures to decrease the severity of motorcycle crashes on roadways in the Seoul metropolitan area of South Korea.

Injury severity in delivery-motorcycle to vehicle crashes in the Seoul metropolitan area.

More than 56% of motorcycles in Korea are used for the purpose of delivering parcels and food. Since such delivery requires quick service, most motorcyclists commit traffic violations while delivering, such as crossing the centerline, speeding, running a red light, and driving in the opposite direction down one-way streets. In addition, the fatality rate for motorcycle crashes is about 12% of the fatality rate for road traffic crashes, which is considered to be high, although motorcycle crashes account for only 5% of road traffic crashes in South Korea. Therefore, the objective of this study is to analyze the injury severity of vehicle-to-motorcycle crashes that have occurred during delivery. To examine the risk of different injury levels sustained under all crash types of vehicle-to-motorcycle, this study applied an ordered probit model. Based on the results, this study proposes policy implications to reduce the injury severity of vehicle-to-motorcycle crashes during delivery.

Human anisakiasis: Diversity in antibody response profiles to the changing antigens in larval excretions/secretions.

Anisakiasis is an infectious parasitic disease contracted by eating third stage larvae of Anisakis simplex (L3) carried by marine fishes. Human anisakiasis was researched for specific IgG with L3 excretory secretory products (ESP). L3ESP were prepared by daily harvesting of culture supernatant from day 2 to day 5, using two kinds culture media of RPMI-1640 and phosphate buffered saline (PBS). When the sera from persons diagnosed with anisakiasis by means of endoscopy were analyzed using indirect ELISA and Western blot, the sera was classified into four groups depending on specific antigen recognition patterns. In addition, the presence of a new antigen for L3, located at less than 13 kDa (AgLT13) was demonstrated in L3ESP with a modified Western blot condition. The production of AgLT13 was mainly found in L3ESP harvested both on day 2 and day 3, and that in PBS was predominant over that in RPMI-1640. Among those sera, the high reactive sera to L3ESP-day two prepared with phosphate buffer in indirect ELISA recognized AgLT13, and 33% of the low reactive sera did so. These results indicate that the binding pattern of human L3 specific antibody is diverse depending on L3ESP preparations and that AgLT13 demonstrated with a Western blot condition is a specific antigen for L3.