城市轨道站台乘客候车位置选择行为分析与Logit建模

探索城市轨道交通乘客站台候车位置选择行为的影响因素，从乘客主体、站台特性、列车运行等3方面分析其对候车位置选择行为的影响。应用Logit模型，构建了包含拥挤容忍程度、排队长度、列车车厢满载率、走行距离、视野关注范围、出行目的等6个影响因素的乘客候车位置选择行为模型。通过调查问卷数据对模型参数进行标定。结果表明不同轨道交通乘客候车位置选择行为存在差异，拥挤容忍程度高的乘客倾向于综合列车车厢满载率和排队长度再选择候车位置，而视野关注范围小的乘客倾向于综合走行距离和列车车厢满载率再选择候车位置。

Behavior analysis and Logit modeling of passenger waiting positionselection in urban rail platform

This paper analyzes the factors that influence the waitingposition selection behavior of urban rail-transit passengers from three aspects, passenger feature, platform characteristics, and train operation. A behavioral model for passenger waitingposition selection is constructed using Logit model. This model includes six influencing factors: congestion tolerance, queue length, full load ratio of train carriages, walking distance, field of vision, and travel purpose. The model parameters are calibrated using the data from questionnaire surveys. The results show that the waitingposition selection behavior differ among rail-transit passengers. Passengers with high congestion tolerance tend to choose a waiting position based on the combination of full load rate and queuing length, whereas passengers with a small field of vision prefer to choose the waiting position based on the combination of walking distance and full load rate.