Implementing and Interpreting a Data Envelopment Analysis Model to Assess Safety and Security of Intermodal Facilities

Abstract

Following September 11, 2001, numerous security policies were created which have caused a number of unique challenges in planning for the transportation networks. In particular, there is a need to enhance security by improving collaboration between various transportation modes. Improved intermodal connectivity has, therefore, been identified as one of the main challenges to achieve a safer, more secure, and productive transportation network. In this study, a mathematical model using Data Envelopment Analysis (DEA) is developed and investigated to assess the safety and security of intermodal transportation facilities. The DEA model can assess the efficiency level of safety and security of intermodal facilities and identify potential solutions for improvement. The DEA methodology presented is general in its framework and can be applied to any network of intermodal transportation systems. Availability of credible data, complimented with DEA methodology, will help in management decisions making safety and security decisions for intermodal transportation facilities.