This study aims to identify influencing factors of traffic accidents in Japanese major road through factor analysis and regression analysis for each accident type, considering their characteristics of rare event. The database consists of 5-year accident record and relevant road traffic condition data in major road sections in Aichi Prefecture which includes the third largest conurbation area of...

Considering a disastrous earthquake as a rare event, the aim of this study is to apply the proposed data construction method (DCM) to determine the possible distribution pattern of disastrous earthquakes in Taiwan. Owing to the availability of only a limited amount of data and based on the multiset division of DCM, virtual samples have been generated. The procedure is illustrated by a numerical...

The analysis of precipitation extremes with decadal return periods requires long data records; longer than is typically available from station observations. To address this problem, a method is proposed for clustering station records based on the similarity of their precipitation climatologies. It is demonstrated that the proposed aggregation method is superior to naive aggregation methods for ...