Abstract:Based on a number of II type large city samples, combined with the traditional rail line network scale predictive analysis method, the parameter system available for reference in the scale prediction of rail line network is summarized and sorted out. The main influencing variable of scale is predicted. Based on the principal component analysis, a composite index able to comprehensively reflect the travel demand, line network coverage, construction capacity and other influencing factors is formed so as to establish the multi-dimensional rail line network scale prediction model suitable for II type large cities through regression analysis.