文章编号： 1672-5328（2016）01-0024-06

陈欢，薛美根
(上海市城乡建设和交通发展研究院，上海200040)

摘要： 20 世纪80 年代上海市已经开始建设智能交通系统，开展交通数据采集工作。历经2010 年世 博会，上海市交通信息化快速发展，交通大数据的种类越来越多，为基于大数据挖掘的综合交通调 查与分析提供了良好的基础条件。基于2014 年上海市第五次综合交通调查结果，综述上海市交通 大数据资源现状和基于大数据的城市综合交通特征挖掘分析技术方法及主要成果。提出进一步拓展 运用大数据分析城市综合交通特征的应用领域、优化大数据挖掘技术方法和完善大数据采集处理机 制的相关建议。

关键词： 综合交通；大数据；交通调查；技术方法；上海市

中图分类号： U491

文献标识码：A

Using Big Data to Explore Transportation System Characteristics in Shanghai

Chen Huan, Xue Meigen
(Shanghai Urban- Rural Construction and Transportation Development Research Institute, Shanghai 200040, China)

Abstract： Since 1980s, Shanghai has begun building ITS system and collecting traffic data. Taking the 2010 World Expo as a good opportunity, Shanghai experiences a rapid traffic informatization process in which a wide variety of data resources turns to be available. This new trend provides a reliable base of using big data mining technology to conduct transportation survey and analysis. Consequently, the 5th Shanghai comprehensive transportation survey has summarized Shanghai transportation big data resource panels, in the meantime, it demonstrated big data mining-based technology to explore transportation system characteristics as well as highlighting some main findings. This study also suggests a couple of critical solutions associated with this new technology that are: 1) how to extend more potential applications, 2) how to optimize existing methodology, and 3) how to improve data collection mechanism.

Keywords： comprehensive transportation; big data; transportation survey; technology; Shanghai