聚焦轨道交通站点沿线空间集约利用背景下建成环境更新改造对轨道通勤效率提升及小汽车转移的长效影响机制，采用“轨道通勤方式链及建成环境数据获取-建成环境对轨道通勤方式链作用机理解析-小汽车转移关键要素阈值提取-小汽车转移调控与建成环境优化配置效果测试”的总体技术路线展开研究。综合运用出行调查、轨迹数据、ArcGIS、POI数据等分析轨道通勤方式链和相关建成环境特征，建立同步解析职住两端建成环境对轨道通勤方式链作用的贝叶斯分层probit模型，进而甄别影响不同轨道方式链吸引力提升的建成环境细分要素。基于项目反应理论建立小汽车通勤向轨道方式链转移的Rasch模型，提取推动小汽车转移的关键建成环境要素阈值，运用多智能体仿真进行轨道沿线小汽车转移调控与建成环境参数优化配置的多情景实证测试。预期成果为合理配置建成环境参数-提升轨道全过程通勤效率-引导出行行为-吸引小汽车转移提供科学的理论依据和分析方法。

A restructuring in built environment is undergoing around stations along rail lines, whose land use patterns are usually spatially compacted. How to upgrade built environment is key to the reshaping of commuters' travel behavior. In order to understand how the positive upgrading in built environment affects the efficiency in rail usage and promotes on modal shifts from car driving in a long term, the study develops a technical framework in 4 steps: First, data collection on trip chain of rail commuting and built environment; second, the exploration on mechanism that links built environment to rail trip chain; third, the threshold analysis for key elements identification on car commuters’ shift; fourth, the scenario test both for car shift control and built environment optimization. This study obtains data from different sources such as the travel survey, travelers’ trajectory, ArcGIS and POI. With the application of the Bayesian multilevel modeling method with probit, we explore the impact of both access and egress built environment on the commuting trip chain of rail transit and identify the specific built environment elements that improve the rail usage in different trip chain types. Based on item response theory, a Rasch model is established to explore the potential of car commuters shift to rail transit and thresholds are extracted to determine the important built environments. Multi-agent simulation is serving for the scenario test, where an optimal set of parameters that quantify the control effects on car usage and optimize built environment are obtained. This study aims to establish a comprehensive framework that includes scientific theory basis and practical methods, from which reasonable parameters on built environment could be derived to effectively enhance the efficiency of rail commuting and guide more commuters to shift from car driving.