地铁分时定价措施对不同类型乘客出行选择行为影响研究

Study on the influence of metor time-based pricing measures on different types of passengers' travel choice behaviors

地铁高峰期拥挤是亟需解决的重要民生问题,地铁分时定价措施是有效缓解高峰期拥挤的需求管理措施之一。文章对不同地铁分时定价措施下的乘客出行选择行为进行研究,有助于制定合理的地铁分时定价措施,有效缓解高峰期拥挤现象。首先,采取意向(SP)与行为(RP)问卷调查获取基础数据;然后,采用二阶聚类法将乘客划分为3类,并分析乘客类别特征;最后,采用多元Logistics回归模型深入分析各类乘客的出行特征,重点分析不同分时定价措施下乘客的出行选择行为,由分析结果可知类型2和类型3乘客对于分时定价措施敏感,选择转移至平峰期或其他交通方式出行。

The issue of peak hour congestion of urban rail transit represents a critical concern for the daily lives of citizens, demanding immediate attention. Implementing timebased pricing strategies for metro services is emerging as an effective demand management approach to alleviate the rush hour congestion of urban rail transit. This study investigates passengers' travel choice behavior under diverse time-based pricing schemes for metros, aiming to inform the development of well-founded time-based pricing measures that can effectively mitigate peak-hour congestion in urban rail transit. Initial data collection utilizes SP and RP questionnaires. Subsequently, a second-order clustering method categorizes passengers into three groups, and their characteristics are analyzed. Finally, a multiple logistics regression model is employed to delve into the travel patterns of various passenger types, with a specific emphasis on their travel choice behavior under various timebased pricing measures. Passengers characterized as type 2 and 3 exhibit sensitivity towards time-based pricing measures, often choosing to travel during off-peak hours or opting for alternative transportation methods.