Intercriteria analysis over public transport system data

In the current paper is presented an application of the InterCriteria Decision Making (ICDM) approach to data connected with integrated public transport system of the city of Burgas. The aim is to analyze the data on passenger flow for each month and then to analyze the correlations between pairs of bus lines with the InterCriteria Analysis Method. As a result we can optimize the public transport system by reducing the redundant lines.