融合手机信令数据与共享单车数据的轨道站点 辐射范围分析研究*
Converging Mobile Phone Signaling Data with Shared Bicycle Data on Urban Transit Stations Catchments Analysis
万 涛
天津市城市规划设计研究院 高级工程师，硕士
施 澄（通信作者）
同济大学建筑与城市规划学院 助理研究员，博士
马 山
天津市城市规划设计研究院 工程师，硕士
李乐园
天津市城市规划设计研究院 高级工程师，硕士
摘要: 骑行接驳是解决轨道交通站点“最后一公里”问题最有效的方法，共享单车对于轨道站点接驳具有重要作用，它的出现大幅度提升了轨道交通的服务能力和出行品质。传统问询调查缺乏对慢行接驳的有效采样，而模型推断又缺乏实证数据验证，新型信息化数据有助于解决该问题。以天津市为例，融合手机信令数据与共享单车数据，有效识别接驳各轨道交通站点的共享单车骑行记录，实现对轨道交通站点的共享单车辐射范围的准确分析。在此基础上，归纳轨道交通站点共享单车辐射范围的4种基本空间形态类型，并揭示不同类型与所处区位、道路密度、周边城市开发情况的相关性。针对不同的接驳形态类型与站点特征，提出有针对性的城市用地开发策略和交通接驳设施优化方案。
Abstract: Bicyling is the most effective way to solve the last mile problem around rail transit site. The shared bicycle plays an important role in track situation connection, which greatly improves the service capacity and travel quality of the rail transit. The traditional inquiry survey lacks effective sampling rate, and the transport model inference lacks empirical data verification. New information data can help solve this problem. Taking Tianjin as an example, this paper combines mobile phone signaling data and shared bicycle data, effectively identifies the riding records of each rail transit station, and accurately analyzes the shared bicycle radiation range of rail transit stations. This paper summarizes the four basic types of spatial patterns of shared bicycle radiation range at rail transit stations, and reveals the reasons for the types related to location, road density, and development of surrounding cities. According to different types of connection types and different site characteristics, this paper proposes targeted urban land development strategies and transportation interchange facilities optimization programs.
关键词：共享单车；手机信令数据 ；数据融合；轨道交通
Keyword: shared bicycle; mobile phone signaling data; data fusion; rail transit
中图分类号：TU981
文献标识码: A
资金资助
国家自然科学基金青年项目 “交通可达性对公平城市的影响与调控机制研究：基于上海和伦敦的实证比较” 51808392
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