文章编号： 1672-5328（2016）02-0035-08

李娜，董志国，薛美根，陈必壮，朱洪
(上海市城乡建设和交通发展研究院，上海200040)

摘要： 如何使人工调查与数据挖掘相结合，是高效经济地进行综合交通调查的关键。上海市第五次 综合交通调查在调查方案设计、项目设置上更加注重项目的全面性和关键性、数据的多元性以及内 容的针对性，数据采集手段上首次采用个人手持终端，并利用公共导航地图云技术进行地址精确定 位。在抽样和扩样技术方面，主要提出居民出行调查的抽样和扩样方法。在信息数据挖掘方面，分 析了遥感用地、手机信令、车牌识别和车载GPS数据的挖掘技术和方法。最后阐述了综合校核的主 要思路和小客车特征数据的校核方法。

关键词： 综合交通调查；居民出行调查；交通大数据；上海市

中图分类号： U491.1+1

文献标识码：A

The Practice of New Survey Technology and Methodology in the 5th Shanghai Comprehensive Transportation Survey

Li Na, Dong Zhiguo, Xue Meigen, Chen Bizhuang, Zhu Hong
(Shanghai Urban- Rural Construction and Transportation Development Research Institute, Shanghai 200040, China)

Abstract： The key to effectively and economically implement a comprehensive transportation survey is to successfully integrate manual works with job of data mining. The recently implemented 5th Shanghai Comprehensive Transportation Survey has concentrated more on integrity and criticality of survey itself, variety of the collected data types, and pertinence of the needed contents when planning the survey. Noticeably, the PDA devices are first used in the household travel survey. Public navigation map cloud technology is applied to improve accuracy of location technology. An enhanced sampling method is adopted at household survey. In order to better understand Shanghai's travel behavior and features, a couple of advanced technologies are further introduced, including big data mining, remote sensing, mobile phone signaling data processing, license plate recognition and vehicle GPS data mining. At last, the paper also demonstrates the main principles to explore and extract passenger car characteristics.

Keywords： comprehensive transportation survey; household travel survey; transportation big data; Shanghai