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。
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.
作者
熊杰
陈彪
李向楠
陈艳艳
郝世洋
Xiong Jie;Chen Biao;Li Xiangnan;Chen Yanyan;Hao Shiyang(Beijing Key Laboratory of Traffic Engineering,Beijing University of Technology,Beijing 100124,China;China Airport Construction Group Corporation,Beijing 100101,China;China Architecture Design & Research Group,Beijing 100044,China)
出处
《城市交通》
2019年第3期39-47,共9页
Urban Transport of China
基金
北京市自然科学基金青年基金项目“多方式公共交通协同优化关键技术研究”(9174027)
北京市教委项目“接驳地铁的社区公交微循环系统优化研究”(KM201710005030)
关键词
交通需求管理
大数据
信息化
政策制定
绩效评估
Travel Demand Management(TDM)
big data
informatics
policy-making
performance evaluation
