Contrary to expectation, there has not been much progress to date as far as the construction of countermeasures against sediment-related disasters is concerned. In order to advance these construction projects efficiently, it is important to examine the risk-ranking of dangerous spots for sediment-related disasters in order to determine construction priorities. However, there is currently no unified analytical technique to address this issue and this poses a problem to each selfgoverning body. As a method to solve this problem, the risk-ranking determination method for public works using Data Envelopment Analysis (DEA) is proposed. However, since DEA is an analytical method that searches for the relative efficiency of data, one of its drawbacks is the long computational time. In order to perform an investigation involving a large number of data, such as in the analysis of dangerous spots for sediment-related disasters, it is therefore necessary to examine the new calculation model for the purpose of increasing its processing efficiency.
In this study, a distributed computational model that enabled the processing of large amount of data by DEA was examined. Moreover, this computational model was applied to the determination of ranking of dangerous spots within Yamaguchi Prefecture regarding sediment-related disasters.
