首页|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

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

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  • 维普
  • 万方数据
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.
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.

urban spatio-temporal activity planningroad congestionmobile signaling datatraffic situation datatraffic flow assignment

涂鸿昌、晏龙旭、王德、胡杨、骆晓

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同济大学建筑与城市规划学院

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

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

同济大学交通运输工程学院

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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

国家自然科学基金上海市科委自然科学研究项目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

5220807421ZR1466600KY-2023-YB-B01

2024

10.11982/j.supr.20240205

上海城市规划
上海市城市规划设计研究院

上海城市规划

CSTPCDCHSSCD北大核心
影响因子：0.872
ISSN：1673-8985
年,卷(期)：2024.2(2)
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