文章编号： 1672-5328（2021）02-0112-09

万涛1，高煦明2，刘杰3，郭鹏4，李科5
(1. 天津市政工程设计研究总院有限公司，天津，300392；2. 天津市城市规划设计研究总院有限公司，天津 300190；3. 上海世脉科技信息有限公司，上海201210；4. 天津师范大学地理与环境科学学院，天津300387； 5.华设设计集团股份有限公司，江苏南京210014)

摘要： 利用手机信令数据可在提取轨道交通出行链信息的基础上获得各车站的客流来源空间分布， 并应用于交通规划中。首先，提出获取轨道交通出行链信息和车站客流来源分布的计算流程以及其 中涉及的轨道交通基站检测、出行端点识别、轨道交通乘车信息提取等技术方法。其次，使用中国 移动手机信令数据得到天津市轨道交通全网车站的客流来源空间分布。基于车站客流来源空间分布 特征对车站进行分类，根据各类型车站的特点提出针对性的接驳改善策略。选取典型车站，对与其 接驳的公共汽车线路进行走向与站点的优化设计。研究表明，不同轨道交通车站客流来源的空间分 布形态具有差异性，利用手机信令数据可获取轨道交通车站客流来源的空间分布形态，为实现“一 站一策”的精准接驳规划设计打下基础。

关键词： 轨道交通；客流来源；接驳；手机信令数据；天津市

中图分类号： U491

文献标识码：A

Spatial Analysis of Passengers' Origins and Connectivity Optimization at Rail Transit Stations: Take Tianjin as an Example

Wan Tao1, Gao Xuming2, Liu Jie3, Guo Peng4, Li Ke5
(1. Tianjin Municipal Engineering Design & Research Institute Co., Ltd., Tianjin 300392, China; 2. Tianjin Urban Planning & Design Institute Co., Ltd., Tianjin 300190, China; 3. Shanghai Citybeats Co., Ltd., Shanghai 201210, China; 4. School of Geographic and Environmental Sciences, Tianjin Normal University, Tianjin 300387, China; 5. China Design Group Co., Ltd., Nanjing Jiangsu 210014, China)

Abstract： Cellular signaling data can be used in transportation planning to obtain the source of passenger flow at each rail transit station on the basis of extracting the travel chain spatial-temporal information. This paper first puts forward the calculation procedure and key technology in extracting the travel chain information of rail transit and the source of passenger flow at stations and obtains the source of passenger flow at all rail transit stations in Tianjin using China Mobile signaling data. The paper summarizes the main types of the passenger flow source distribution of rail transit stations and connection strategies by different station types, and optimizes the design of route and station for connecting bus lines around typical stations. The results show that the spatial distribution of passenger flow sources at different rail transit stations are different. It is feasible to extract the passenger flow source information on the whole network in a wide range by using mobile signaling data, which is helpful to realize the personalized and accurate connection planning and design of“one station, one policy”.

Keywords： rail transit; passenger flow origin; connection; cellular signaling data; Tianjin