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《城市交通》杂志
2019年 第3期
大数据支撑下的交通需求管理体系研究
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文章编号: 1672-5328(2019)03-0039-09

熊杰1,陈彪1,李向楠2,陈艳艳1,郝世洋3
(1.北京工业大学,北京市交通工程重点实验室,北京100124;2. 中国民航机场建设集团公司,北京100101; 3. 中国建筑设计研究院有限公司,北京100044)

摘要: 单纯提高交通供给能力无法从根本上缓解城市交通供需失衡的矛盾,而交通需求管理理念已 越来越广泛地应用于相关政策制定中。在阐述城市交通需求管理内涵的基础上,结合大数据与信息 化行业应用背景,提出大数据支撑下的交通需求管理体系框架。进而从出行总量控制、出行分布调 整、出行时间均衡、出行空间均衡、交通结构优化5 个维度分析城市交通需求管理政策的制定思路 与作用机理。最后,阐述了大数据对交通需求管理政策绩效评估的支撑作用。

关键词: 交通需求管理;大数据;信息化;政策制定;绩效评估

中图分类号: U491

文献标识码:A

Travel Demand Management System Based on Big Data

Xiong Jie1, Chen Biao1, Li Xiangnan2, Chen Yanyan1, Hao Shiyang3
(1.Beijing Key Laboratory of Traffic Engineering, Beijing University of Technology, Beijing 100124, China; 2. China Airport Construction Group Corporation, Beijing 100101, China; 3.China Architecture Design & Research Group, Beijing 100044, China)

Abstract: Since it is impossible to meet urban travel demand by increasing capacity of roadways alone, the Travel Demand Management(TDM) idea has been widely adopted in the related policy-making process. By discussing the content of travel demand management this paper proposes a framework of TDM system with the current application of big data and informatics. The paper discusses policy-making guidelines and functionality of TDM in five aspects: overall travel demand control, travel demand distribution adjustment, spatial/temporal travel balancing, and optimizing travel mode sharing. Finally, the paper elaborates the supporting role of big data in the performance evaluation of TDM policies.

Keywords: Travel Demand Management(TDM); big data; informatics; policy-making; performance evaluation