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城市轨道交通线网线路客流热度评价研究

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为评估新时期城市轨道交通线网客流快速回升的情况,从基础客流、基础线网、出行特征以及运力与运能 4个方面选取12项评价指标,对北京市轨道交通线网的客流热度进行深入研究.采用熵权优劣解距离法(TOPSIS)和聚类分析方法,对北京市轨道交通路网中的15条线路客流进行客流热度评价和分类.研究结果显示,10号、1-八通、6号和 5号线作为大环线或贯通线,均属于高热度客流线路.而除11号线外,其余线路均属于中热度客流线路,呈现出明显的区域性客流特点.基于这些发现,提出以下建议:北京市轨道交通发展应更关注中低热度地区;运营企业可根据线路客流热度的不同,合理分配人力和物力资源;一线部门可根据客流热度的预测提前采取措施应对客流冲击.
Research on passenger flow heat evaluation of urban rail transit network
To evaluate the rapid recovery of passenger flow of urban rail transit network in the new era,12 evaluation indices were selected from four aspects,namely basic passenger flow,basic network,travel characteristics,as well as transport capacity and capacity to thoroughly study the passenger flow heat of the Beijing urban rail transit network.By using the entropy weight TOPSIS and cluster analysis method,the passenger flow heat of 15 lines in Beijing rail transit network was evaluated and classified.The research results show that line 10,line 1-Batong line,line 6,and line 5,as large loop lines or through lines,belong to the hot passenger flow lines.Except for line 11,other lines belong to the medium hot passenger flow lines,showing obvious regional passenger flow characteristics.Based on these findings,the following is suggested the development of urban rail transit in Beijing region shall focus more on the middle and low heat areas;the operating enterprise may reasonably allocate human and material resources according to different passenger flow heat;front line departments may take measures in advance to cope with the impact of passenger flow in line with the forecast of passenger flow heat.

urban rail transitentropy weight-TOPSISpassenger flow heatcluster analysis

才溢、马兴宇、李哿、赵洋

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北京市地铁运营有限公司运营四分公司,北京 100102

北京市地铁运营有限公司,北京 100044

城市轨道交通 熵权-TOPSIS 客流热度 聚类分析

2024

现代城市轨道交通
中国铁道科学研究院

现代城市轨道交通

影响因子:0.301
ISSN:1672-7533
年,卷(期):2024.(5)
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