The purpose of this study is to estimate the economic benefit of the society because of the operation of the rapid transit. From the aspect of economics, the estimation equations of the mode user's benefit are derived from the related theory of welfare change combined with the disaggregate Logit model, and employed to estimate the different mode user's benefits in the Mucha transport corridor of Taipei. In theoretic development, the "normalized price" commonly used as a variable of the disaggregate mode choice model is adopted in the estimation equation of expected utility, and the estimation equation of the compensating variation (CV) developed by Small and Rosen (1981) is revised. Furthermore, the estimation equations concerning the equivalent variation (EV) and the change of consumer's surplus (△ CS) are also established in this study. In addition, the revealed preference (RP) choice model of the binary mode (i.e. the regular and the major alternate mode) and the joint preference (JP) choice model of trinomial mode (added the rapid transit) are used to revise the overestimation of expected utility caused by the so-called "inclusive-value" form of Logit model. In validation, this study has important findings as follows: (1) For each mode user's welfare change, the motorcycle user/switcher have gained more, but the car user/switcher has gained less after the Mucha Line rapid transit was operated. (2) In comparison, the EV value is less than the CV value for the rapid transit user switched from car, which implied that the rapid transit seems to be regarded as the "inferior good" to these user. (3) There is no significant difference between the average welfare changes and that of the switcher and non-switcher. This shows that the rapid transit user and the other users have almost equivalent gains after the rapid transit was operated. (4) The effect of household income on welfare change almost equals to its growth rate. (5) In the primary period of the operation of Mucha line rapid transit, all of the rapid transit users have gained at least 2 .04-2 .4 6 millions N.E dollars (per day), while the effect of income growth is eliminated.