The invention discloses a human travel selection information mining method based on travel data. The method mainly comprises the steps of proposing a universal traffic selection model considering individual utility optimization, and a parameter estimation and analysis method corresponding to the model. Based on a traffic selection model, easily obtained traffic travel data such as automobiles andthe like are utilized, a nonlinear fitting method is adopted, parameters are estimated, and the distribution situation of overall travel requirements of human beings and selection characteristics of vehicles such as walking vehicles, automobiles, airplanes and the like are disclosed. The analysis result can be used for comparison between cities and countries, and can also be used for planning urban and national traffic facilities. By adopting the information mining method, the problems of high cost and low credibility of large-scale investigation on crowds can be effectively avoided.