摘要
客运产品是铁路运输市场的主要供给,开行方案是客运产品设计的核心内容。将客运产品进行类别划分,是不同类型客运产品需求演变趋势分析的重要基础,有利于简化客运产品优化设计问题。本文以不同列车开行方案属性为样本特征变量,考虑列车能力利用对客运产品优化设计的影响,结合平均列车客座率提出了有效能力隶属度,构建了基于KFCM的双重聚类模型对样本进行聚类,利用Xie-beni和分离系数法确定最佳聚类数。最后对京沪高铁进行实例分析,研究结果表明,将该线客运产品分为4类可获得较好的聚类效果,不同类别的客运产品表现出明显的结构特性。
Passenger transport products are the main supply of railway transport market, and the operation plan is the core for passenger transport products design. It is the significant foundation for analyzing the evolution trend of passenger demand for different types of products, which is helpful to simplify the optimization design of passenger products. Considering the influence of train capacity utilization on passenger product design, the attributes of different train operation plan are taken as sample characteristic variables. Combining with the average train passenger load factor, the effective capacity membership is proposed. A double clustering model based on KFCM is constructed for the samples, and the optimal clustering number is determined by Xie-beni and separation coefficient method. Finally, a case study of Beijing-Shanghai high-speed railway is carried out. The results show that better clustering results can be obtained by dividing passenger products into four categories, and different types of passenger products show obvious structural characteristics.
引文
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