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Muto M.,Transport Planning Laboratory | Shibata T.,Safety Analysis Laboratory
Quarterly Report of RTRI (Railway Technical Research Institute) (Japan) | Year: 2010

This study focused on a method to evaluate the economic burden on passengers affected by rail transport disorder. The authors developed a choice model for passenger behavior in regard to the two major options of either taking an alternative route or waiting for train services to be resumed. The value of time during the period of disorder was calculated using a model parameter ratio involving the travel time and the applicable fare. We accordingly proposed a new evaluation index to indicate the economic loss as calculated by the product of the value of time and the total time lost by all passengers. Source


Miyachi Y.,Safety Analysis Laboratory | Murakoshi A.,Ergonomics Laboratory | Akatsuka H.,Safety Psychology Laboratory | Suzuki A.,Ergonomics Laboratory
Quarterly Report of RTRI (Railway Technical Research Institute) (Japan) | Year: 2010

There are many factors which specify the place of the work and kind of job. Among these factors, these factors are closely related with safety. "Safety Climate" is consciousness and attitude for these factors. We analyzed the contents of the items used by the past investigations, and conducted an investigation by which the importance of these contents were evaluated. We developed a technique to evaluate the safety climate of the place of work based on these analysis and results of the investigation. Furthermore, we reviewed many past researches and exam-ined the subjects for the safety climate research which should be studied in the future. Source


Hayama K.,Safety Analysis Laboratory | Miyachi Y.,Safety Analysis Laboratory | Nakamura R.,Safety Analysis Laboratory | Kimura H.,Track Geometry and Maintenance Laboratory
Quarterly Report of RTRI (Railway Technical Research Institute) (Japan) | Year: 2011

In order to identify effective measures while confronted with limited time and budgets, priorities must be set according to the purpose and effect of a measure. The authors developed a "Human Error Risk management method". This is a method for evaluation which considers "the level of influence of the error-inducing factor" on a risk value evaluated by the combination of "possibility of being of an error" and "worst accident probable to occur due to the error". Consequently, a method for management of human error prevention is presented, which can be adopted by a rail track maintenance office. This paper introduces an example of its application to track maintenance. Source


Miyachi Y.,Safety Analysis Laboratory | Shibata T.,Safety Analysis Laboratory
Quarterly Report of RTRI (Railway Technical Research Institute) (Japan) | Year: 2010

In order to find an effective measure in limited time and budget, it is necessary to judge the priority of the purposes and effects of measures. One important factor s is the degree of risk. We improved FMEA for the risk assessment of human error phenomena, and developed it to a new risk assessment technique. In order to use this technique, sufficient background factors of accidents and incidents need to be analyzed. Moreover, for preventing human errors, not only the error phenomena but also the causative factors should be grasped. We combined the results of assessing the risk of error phenomena with causes of errors, to create a method of managing and preventing human errors which could be adopted in a railroad office. Source


Hatakeyama N.,Safety Analysis Laboratory | Miyachi Y.,Safety Analysis Laboratory | Kurihara Y.,Meteorological Disaster Prevention Laboratory
Quarterly Report of RTRI (Railway Technical Research Institute) | Year: 2015

In cold snowy regions, the number of level crossing accidents in winter is higher than in other seasons, therefore weather conditions, such as snow showers, are considered to have a large influence on accident occurrence. Previous studies have assessed the safety of level crossings solely from equipment data with no consideration of weather conditions. The purpose of this study, therefore, is to develop a method for assessing level crossing safety which takes into account weather condition factors. The method was applied in a case study and its assessment precision was improved. Source

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