摘要
为了解轨道交通车站内的客流分布特征,对车站内行人路径选择的影响机理进行分析,可知路径选择是步行网络特性、线路特性等外部因素以及出行者内部因素相互作用直至均衡的过程。依据效用最大化理论,以步行距离、步行时间、垂直步行设施类型和路径重复系数为路径选择的主要影响因素,建立了行人路径选择的多项Logit模型。选取上海市轨道交通3号线赤峰路站为调查对象,收集车站静态信息以及行人步行路径、步行时间等动态信息,利用SPSS软件对模型进行标定,量化分析了各影响因素对行人路径选择作用的大小。经过模型检验,模型预测的总体正确率为78%。
To better understand the passenger flow distribution characteristics within a rail transit station, this study intends to analyze the influencing mechanisms of pedestrians on their route choice behaviors within a station, and acknowledges that pedestrian route choice is a process during which, before reaching a balance, interactions continue between external factors of characteristics of pedestrian networks and routes, and internal factors of travelers. According to the maximum utility theory, and taking the walking distance, walking time, types of vertical pedestrian facilities, and route re-passing coefficients as major influencing factors, the paper formulates a multi-logit model for pedestrian route choice. Based on static information and dynamic data of pedestrian routes and time surveyed at Chifeng Rd Station on rail transit Route 3, Shanghai, the model is calibrated using SPSS software, resulting in a quantitative analysis of impacts of influencing factors on pedestrian route choice. A testing of the model shows that the model produces forecasts with an accuracy of 78%.
出处
《城市交通》
2008年第6期46-53,共8页
Urban Transport of China
基金
国家自然科学基金项目(50808141)
