时空行为视角下上海市早高峰拥堵的形成模式与规划应对
Assessing the Formation Patterns and Planning Strategies of Morning Peak Congestion in Shanghai from the Spatio-temporal Behavior Perspective
涂鸿昌
同济大学建筑与城市规划学院 硕士研究生
晏龙旭（通信作者）
同济大学建筑与城市规划学院 自然资源部国土空间智能规划技术重点实验室 副教授，博士
王 德
同济大学建筑与城市规划学院 教授，博士生导师 上海同济城市规划设计研究院有限公司 数字规划研究中心主任
胡 杨
同济大学建筑与城市规划学院 博士研究生
骆 晓
同济大学交通运输工程学院 副教授，博士
摘要: 从时空行为视角溯源导致拥堵的出行原因，有助于理解拥堵形成的时空全过程。以上海市早高峰期间常发拥堵路段与
机动车出行为研究对象，使用手机信令数据与交通态势数据进行交通流分配，还原出行的时空轨迹，从空间、时间、行
为3个维度刻画早高峰拥堵形成的总体特征，解析具体路段的拥堵形成模式。发现拥堵的主要来源是沿内环、中环连片
的居住密集区，去向主要集中在内环内的就业集中区；道路拥堵模式可归纳为“时空集中型”“出发集中型”“到达集中
型”“时空分散型”4种主要类型；进而结合时空行为规划理论框架提出针对性的缓堵策略。从时空全过程视角认识道路
拥堵的形成原因，可以为精细化的拥堵治理提供参考。
Abstract: From the perspective of spatio-temporal behavior, tracing congested trips can help to understand the whole process of congestion formation. Taking the regular congested roads and motor vehicle trips during the morning peak period in Shanghai
as the research object, this paper conducts traffic flow assignment based on mobile signaling data and traffic situation data to construct travel trajectories, portrays the spatial, temporal, and behavioral characteristics of congestion formation in Shanghai,
and analyzes the congestion formation patterns of specific roads. Results indicate that the main origins of congestion are densely populated residential areas along the Inner Ring Road and Middle Ring Road, while the destinations are concentrated
employment-intensive areas within the Inner Ring Road. The patterns of road congestion are categorized into four main types:
space-time-concentrated type, origin-concentrated type, destination-concentrated type, and space-time-dispersed type. Strategies
are proposed based on spatio-temporal activity planning theory. This study offers insights into the causes of road congestion formation from a holistic spatiotemporal perspective, providing valuable references for congestion management strategies.
关键词：城市时空行为规划；道路拥堵；手机信令数据；交通态势数据；交通流分配
Keyword: urban spatio-temporal activity planning; road congestion; mobile signaling data; traffic situation data; traffic flow assignment
中图分类号：TU984
文献标识码: A
资金资助
国家 国家自然科学基金 52208074
上海市 上海市科委自然科学基金 21ZR1466600
上海 上海同济城市规划设计研究院有限公司暨长三角城市群智能规划协同创新中心 科研课题 KY-2023-YB-B01
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