基于多源大数据的北京铁路枢纽客流特征研究  

Research on Passenger Flow Characteristics of Beijing Railway Hub based on Multi-source Big Data

作　　者：康浩[1] 王昊 赖建辉 伍速锋[1] KANG Hao;WANG Hao;LAI Jianhui;WU Sufeng(China Academy of Urban Planning & Design, Beijing 100037, China;China Sustainable Transportation Center, Beijing 100004,China;Beijing University of Technology, Beijing 100124, China)

机构地区：[1]中国城市规划设计研究院,北京100037 [2]宇恒可持续交通研究中心,北京100004 [3]北京工业大学,北京100124

出　　处：《交通工程》2019年第2期7-12,24,共7页Journal of Transportation Engineering

基　　金：2018国家重点研发计划项目"城市交通智能治理大数据计算平台及应用示范"(项目编号2018YFB1601100);课题三"城市交通状态‘迁移-态势演化’的敏捷预测与可靠推演"(课题编号2018YFB1601103)资助

摘　　要：为提升我国铁路综合客运枢纽规划设计中的定量化分析水平、切实掌握枢纽内各类客流特征科学确定枢纽内各种交通设施规模并实现高效一体化布局组织,本文借助多源大数据分析手段,实现对北京站、北京西站、北京南站等3大铁路枢纽各类客流需求的定量化分析,并从枢纽客流构成、换乘客流构成、换乘时耗等多维度逐一挖掘,总结出我国现阶段枢纽运行的规律性特征与趋势,并针对性提出了相关改善措施和建议,以期对今后高铁枢纽的规划、建设、运营提供参考和借鉴.In order to improve the level of quantitative analysis in the planning and design of China's railway comprehensive passenger transportation hub, we must grasp the characteristics of various passenger flow changes in the hub, so as to scientifically confirm the scale of various transportation facilities in the hub and realize efficient and integrated layout organization. With the help of multi-source big data analysis methods, this paper constructs a set of scientific technical methods to realize the quantitative analysis of various passenger requirements of the Beijing Railway Station, the Beijing West Railway Station and the Beijing South Railway Station. This research divides passenger flow composition one by one, sum up the regular characteristics and trends of China's current hub operation, and propose relevant improvement measures and suggestions, in order to provide reference for the planning, construction and operation of the future high-speed railway hub.

关 键 词：高铁站 交通规划 综合客运枢纽 换乘组织 设施布局 多源大数据 

分 类 号：U293[交通运输工程—交通运输规划与管理]