【摘要】 针对SP数据存在的行为结果与意向结果不一致的问题,介绍了利用RP数据修正要SP数据的方法．以北京为例,建立了RP模型、SP模型和融合数据模型,并对模型的灵敏度进行了分析,结果表明,RP模型中费用变量的参数估计值符号与实际不符;SP数据模型精度较高,但某些参数的影响不是很显著;融合数据模型的参数检验较显著,模型的弹性小,敏感性被钝化．更多还原

【Abstract】 The inconsistence of SP data between behavior and behavior intention is a serious problem．The ar- ticle introduces the method of revises the SP data using the RP data．Then take Beijing as the example,estab- lishes the RP data models,the SP data model and the fusion data model,it carries on the analysis of model sensitivity．The results indicate:the mark of expense parameter is not logical in the RP data mode;The pre- cision of SP data model is high,but the effects of some parameters are not remarkable;The fusion data model parameters’ test are remarkable,the model elasticity is small,and its’ sensitivity is deactivated．更多还原