高速铁路车站间客流变化一致性研究

高速铁路车站旅客发送量变化对列车开行和票额分配具有重要意义。基于全国主要高速铁路车站日旅客发送量波动方向和幅度的统计结果,选取使共表相关系数达到最优的系数用来改进曼哈顿距离,并以此作为聚类标准对样本车站进行聚类分析。进而通过分析聚合过程和最终聚类结果,找出簇内样本的共同特征,并从区域、地理距离,开通高速铁路线路等角度解释聚类结果。研究表明,高速铁路车站间旅客发送量变化规律与车站所在区域、地理距离、开通线路数量与等级及经济文化活动频繁度有密切关系。

A Study on the Common Features of Passenger Flow Change between High-Speed Railway Stations

The change of passenger volume in high-speed railway stations is of great significance to train operation and distribution of tickets. Based on the statistical results of the fluctuation direction and amplitude of daily passenger volume of the main high-speed railway stations, this paper chooses the coefficients which make the common table correlation coefficient reach the optimum to improve the Manhattan distance, and uses them as the clustering standard to cluster the sample stations. Then, through analyzing the aggregation process and the final clustering results, we find out the common characteristics of the samples in the cluster, and explain the clustering results from the regional, geographical distance and the opening of high-speed rail lines. The study shows that the variation of passenger volume among high-speed railway stations is closely related to the area, geographical distance, the number and grade of running routes and the frequency of economic and cultural activities.