如何利用假设意向调查数据 SP(Stated Preference data)构造非集计模型 ,是运量预测研究中的一个重要课题。本文以新运输方式的运量转换率预测模型为研究对象 ,通过引入假设意向调查误差项构造了新的效用函数模型 ,并对基于 SP与 RP(Revealed Preference data)组合数据的模型参数估计方法进行了深入探讨 ,最后利用日本关于磁悬浮列车新交通规划的 RP和 SP调查数据进行了事例分析 How to use the SP (Stated Preference data) to construct a non-aggregated model is an important issue in the research of volumetric forecasting. In this paper, we use the new transportation model to predict the volumetric conversion rate as the research object, construct a new utility function model by introducing the error term of the hypothetical intentional survey, and conduct the model parameter estimation based on the combination data of SP and RP (Revealed Preferencedata) In-depth discussion, the last use of Japan on the new transport planning maglev train RP and SP survey data were case studies