The study conducted statistical analysis of survey on the 239 workers participating in national Tower Crane installation/dismantlement in order to identify work environment and health hazard exposure of Tower Crane workers. Consequently for work related safety status of Tower Crane workers, the number of installation/dismantlement work was the highest at 15-20 times per month, and safety equipments were not arranged at work and they felt highly anxious when boarding on the Tower Crane. Furthermore, it is found that they feel anxious working in the influence of the weather, noise, vibration, wind, the sun ray, and structure characteristic. They have very low satisfaction in the insecureness of workplace and the work environment, and recognizes that their work affect highly on the health. 81.6% of workers have experienced accident at work, the cause of accidents were mainly due to poor work environment, and the health abnormality they have experienced were mostly fatigue and concentration reduction. For job stress, job demand and conflict in relationship were the highest sections. Total 66.5% of workers complained of musculoskeletal disorder related subjective symptom, and back pain patients were the highest of all groups.

The incidents related to transporting hazardous materials may cause serious impacts on neighborhood and surrounding areas. It is essential to have a real-time safe management system for incidents prevention of transporting hazardous materials. Currently, the system is not integrated into one channel, which makes it difficult to control an incidents response. Another problem is that event status is not appropriately shared among authorities having responsibilities taking down the incidents. This paper investigates previous studies covering the real-time safety management system for hazard material transports and suggests an integrated management system that helps communicate effectively and promptly.

This study highlights empirically the relationship among major constructs such as accident, fear and anxiety emotion, self-efficacy, and negative spillover of work, focused on the railway drivers. The differentiated factor of this study is in that the experience of accident was posed as exogenous variable. The main statistical tool was Regression. Hypothesis tests based on 201 samples verified that the experience of accidents showed a significant effect on negative spillover of work mediated by fear and anxiety, with moderating effect of self-efficacy between fear and anxiety and negative spillover of work. However, the moderating effect was shown as increasing the degree of negative spillover of work, since the drivers recognized their fear and anxiety accrued by accident experience as uncontrollable. This findings suggest the need for mitigating driver's negative emotion - fear and anxiety - through an introduction of practice such as exemption of settlement obligation in accident site and lowering of the penalty for accident responsibility.

In these days, hazards in laboratories are consistently increasing due to high technological advance in modern science. Efforts to prevent accidents in laboratories became law named [ACT ON THE ESTABLISHMENT OF SAFE LABORATORY ENVIRONMENT]. The law made laboratories more safely but it’s not enough to keep up laboratory safety in advanced countries. To improve laboratory safety, this study reformed laboratory emergency response flow chart based on each emergency scenarios and its evaluated hazards in laboratories applied wireless hazard detecting equipments.

PURPOSES: The purpose of this study is to verify traffic accident injury severity factors for elderly drivers and the relative relationship of these factors. METHODS: To verify the complicated relationship among traffic accident injury severity factors, this study employed a structural equation model (SEM). To develop the SEM structure, only the severity of human injuries was considered; moreover, the observed variables were selected through confirmatory factor analysis (CFA). The number of fatalities, serious injuries, moderate injuries, and minor injuries were selected for observed variables of severity. For latent variables, the accident situation, environment, and vehicle and driver factors were respectively defined. Seven observed variables were selected among the latent variables. RESULTS: This study showed that the vehicle and driver factor was the most influential factor for accident severity among the latent factors. For the observed variable, the type of vehicle, type of accident, and status of day or night for each latent variable were the most relative observed variables for the accident severity factor. To verify the validity of the SEM, several model fitting methods, including , GFI, AGFI, CFI, and others, were applied, and the model produced meaningful results. CONCLUSIONS: Based on an analysis of results of traffic accident injury severity for elderly drivers, the vehicle and driver factor was the most influential one for injury severity. Therefore, education tailored to elderly drivers is needed to improve driving behavior of elderly driver.

PURPOSES : The purposes of this study are to compare the day and night characteristics and to develop the models of traffic accidents. in Rural Signalized Intersections METHODS : To develop day and night traffic accident models using the Negative Binomial Model, which was constructed for 156 signalized intersections of rural areas, through field investigations and casualty data from the National Police Agency. RESULTS : Among a total of 17 variances, the daytime traffic accident estimate models identified a total of 9 influence factors of traffic accidents. In the case of nighttime traffic accident models, 11 influence factors of traffic accidents were identified. CONCLUSIONS: By comparing the two models, it was determined that the number of main roads was an independent factor for daytime accidents. For nighttime accidents, several factors were independently involved, including the number of entrances to sub-roads, whether left turn lanes existed in major roads, the distances of pedestrian crossings to main roads and sub-roads, lighting facilities, and others. It was apparent that if the same situation arises, the probability of an accident occurring at night is higher than during the day because the speed of travel through intersections in rural areas is somewhat higher at night than during the day.

PURPOSES: This study suggests the application of glow line marking technology for reducing traffic accidents at nighttime. METHODS: In this study, using a statistical analysis, we analyzed the characteristics of traffic accidents occurring at nighttime. Next, the strength, weakness, opportunity, and threat (SWOT) factors were derived based on a current-status analysis of glow line marking technology and road environments. An SO strategy, ST strategy, WO strategy, and WT strategy were established in accordance with the four SWOT factors. RESULTS : This study suggests that the following strategies should be promoted to apply glow line marking technology to a road environment: 1) an activation strategy for the technological development of glow line markings for a new paradigm in reducing traffic accidents, 2) a benefit enhancement strategy applying glow line marking technology in places where nighttime traffic accidents frequently occur, 3) a strategy for the expansion of glow line marking by replacing streetlights, and 4) a strategy for enhancing road applications through the development of various line marking methods in consideration of both performance and costs. CONCLUSIONS : The application of glow line markings in a road environment can contribute to a reduction of traffic accidents at nighttime, and aid energy savings from the replacement of streetlights.