摘要
利用轨道出行刷卡、出租车GPS等多源数据挖掘长沙高铁南站的交通出行特征。结果表明,长沙南站与五一广场、长沙火车站、望城坡、芙蓉广场等全市综合性及区域性中心联系紧密;其日均人口吞吐量为11万人次,达到路网性客运中心的标准;进站与出站的交通出行量各具特点,对区域性交通具有一定影响,具体表现为:早间至中午时间段,进站交通量大于出站交通量,进站的路段负荷较大;中午12:00—13:00之间,出站的路段交通压力最大,负荷最重;下午15:00开始,出站交通逐步大于进站交通,出站路段比进站路段车流量更大,拥堵可能性增大,至下午19:00,出站的相关路段负载达到峰值;下午19:00以后,该区域的进站交通较少,基本表现为出站交通。相关研究结果可为长沙高铁站周边的交通规划提供指引,也可为其他城市的高铁枢纽交通设计和组织提供研究思路和方法借鉴。
This paper excavates the traffic data of Changsha high-speed railway south station through various ways. The results show that Changsha south station is closely connected with the regional centers such as Wuyi Square, Changsha Railway Station, Furong Square and Wanjiali Square, and the average daily passenger flow is 110,000, which is in line with the standard of network-level railway passenger transport center. The inbound and outbound traffic volumes have their own characteristics,which are shown as follows: From morning to noon, the inbound traffic volume is greater than the outbound traffic volume,and the inbound road section is heavily loaded; Between 12:00 noon and 13:00, the traffic pressure of the outbound section is the highest; Starting from 15:00, the outbound traffic volume is gradually larger than the inbound traffic volume, the possibility of outbound section congestion increases, and the load of outbound section reaches its limit at 19:00; The inbound traffic volume is less after 19:00, mainly the outbound traffic volume. The relevant research can provide guidance for traffic planning around Changsha high-speed railway station and provide research ideas and reference for traffic design of other urban high-speed railway hubs.
作者
吴林
WU Lin(Changsha Yongxin Evaluation Consulting Co., Ltd,Changsha 410007 China)
出处
《科技创新与生产力》
2018年第11期72-74,共3页
Sci-tech Innovation and Productivity
关键词
高铁枢纽
多源数据
出行特征
交通规划
high-speed rail hub
multi-source data
traffic characteristics
transportation planning