大数据时代的城市运行管理 信息协同模式研究

Research on Information Coordination Patterns of City Operation Management in theAge of Big Data

        陈 锐(中国科学院科技政策与管理科学研究所)

         城市大数据，智慧城市运行管理，信息协同 ，自适应优化，顶层设计，模式创新

        big data of city， smart city operation management， information coordination， adaptive optimization， top-level design， pattern innovation

        文章从全球视野下的智慧城市规模化发展、国内智慧城市建设的试点与信息壁垒、 大数据时代的战略诉求与技术挑战、新一代信息技术助力“三元”世界融合四个方面分析了信 息视角下的智慧城市运行管理发展态势； 对智慧城市大数据管理的内涵和边界进行了界定； 从人、地、事、物、组织、领域、时间七个维度提出了智慧城市运行管理的信息分类标准， 并在此 基础上， 从信息的启动、流转和到达三个阶段构建了智慧城市运行管理的信息协同总体框架； 针对已有信息的信息共享和实时感知信息的接入转发两个方面详细阐述了智慧城市运行管 理的信息流转模式， 重点研究了城市系统下的信息流转自适应优化过程； 最后从科学决策的 视角提出了面向大数据的多维协同体系。

        The development situation of Smart City operation management is analyzed from the perspective of information, including the scale-development of Smart City in the global view, the domestic pilot construction and information barriers, the strategic demand and technical challenge in the age of big data, and the integration of person, machine, and object promoted by the new generation information technology. Then, the connotation and confine of big data management of Smart City are defined, and a real-time information classification standard is put forward in seven dimensions: person, space, event, object, organization, area, and time. On this basis, a general framework of information coordination is structured in three phases including information starting, information flowing, and information arriving. Furthermore, information flow patterns of Smart City operation management and the adaptive optimization processes of information flow in city system are expounded detailedly. At last, a multidimensional coordination system for big data is put forward from the perspective of scientific decision.