文章编号： 1672-5328（2019）04-0050-08

金昱
(上海市城市规划设计研究院，上海200040)

摘要： 随着上海市轨道交通客流量日益增长，部分车站在运营过程中逐渐暴露出高峰集散能力不足 等问题。基于运营超过5 年的238 座车站的刷卡数据，从车站高峰小时时段分布、高峰小时系数取 值范围、超高峰系数取值范围三个方面分析车站客流高峰小时特征。得到以下主要结论。1)车站进 站客流高峰呈现集聚于早高峰的单峰分布特征，出站高峰客流则呈现向早晚高峰集聚的双峰分布特 征。2)进站客流高峰小时系数取值普遍高于出站客流高峰小时系数，进出站客流高峰小时系数主要 与车站周边用地特征、车站区位密切相关；城市外围高强度单一居住功能为主的车站或周边高强度 单一办公密集型车站存在较高高峰小时系数的可能。3)大部分车站超高峰系数位于规范推荐值范围 内；对于位于线路末梢同时承担周边一定范围内交通接驳功能的车站，在客流预测中超高峰系数建 议选用规范推荐范围中较高值。

关键词： 轨道交通；车站客流；高峰小时系数；超高峰系数；大数据；上海市

中图分类号： U491.1+2

文献标识码：A

Characteristics of Peak Hour Passenger Flow at Rail Transit Stations in Shanghai

Jin Yu
(Shanghai Urban Planning and Design Institute, Shanghai 200040, China)

Abstract： Along with the increasing passenger flow of Shanghai urban rail transit, many stations shows inadequate in passenger distribution during peak hours. Based on the smart card data of 238 stations which have been in operation for more than 5 years, this paper analyzes the characteristics of peak hour distribution, peak hour factors and extra peak hour factors. Firstly, arrival passenger volume peak hour tends to occur in the morning peak, while departure passenger volume peak hour clusters in both the morning and evening. Secondly, peak hour factor of arrival passenger volume is higher than that of departure passenger volume. The peak hour factor is closely related to both the characteristics of land use around stations and station location. Stations with single and high intensity of residence or office land use may bring high peak hour factors. Thirdly, extra peak hour factors of most station are within the recommended range of specifications. However, for those stations located at the end of lines and functioned as terminals, a higher value of extra peak hour factors are recommended.

Keywords： rail transit; passenger flow at stations; peak hour factor; extra peak hour factor; big data; Shanghai