This paper has aimed to recognize and assess the risks in port projects. For this purpose, an integrated
approach is introduced. First, the non-parametric bootstrap technique is utilized to calculate the confidence
intervals for the common criteria of the risk analysis for important risks in port projects. The bootstrap has
been used in this paper for the criteria by only few data in these projects. Second, risk score technique with
interval numbers has been taken into account by the bootstrap because of the fact that determining the
accurate values of the risks is often difficult. An application example has been provided and the proposed
approach in the port projects has been demonstrated in detail. The computational results have highlighted
that the bootstrap has the high performance when the sample size is small. The proposed integrated
approach has improved the data collection and statistical analysis in the risk assessment process and also
interval analysis has produced reliable results. The bootstrap regression model can be regarded as further
research for project risk assessment in the port projects.