Although railway network in the metropolitan area should be remarkably improved, we have some difficulties to calibrate accurate effects by improved level of rail service and to identify the additional lines should be constructed. The purpose of this paper is to propose a new structure for Probit Model using variable covariance matrix and to establish user surplus indices based on random utility theory.
Using Metropolitan Census Data which was conducted in 1990, the above model and indices had been briefly estimated to demonstrate the efficiency of our methods. The results indicate that route choice behavior in complexed railway network should be expressed by considering similarity among routes, and user benefit for ordinary network should be calibrated using expected value of maximum utility.
