城市居民空间活动研究中大数据与复杂性理论的融合

城市交通领域中对策体系多维拓展,迫切需要研究的系统演化不确定性,以及信息化建设所产生的数据资源,成为导入复杂性理论与大数据分析技术的催化剂.将数据资源转化为决策能力,进而提升行动效果,是应用导向的路径.围绕“证-析”的感知、认知和洞察,成为围绕复杂性大数据分析的主要技术环节.对此的讨论,展示了以城市交通为背景的居民空间活动研究中一个处于探索中的研究框架.

The Integration of Big Data and Complexity Theory in the Study of Residents' Activity Space

In the application of multidimensional transport strategies,the need for understanding the uncertain system evolution and data collection calls for the employment of complexity theory and big data analysis technology.The applicationoriented approach is to translate data resources into decision-making capacity and improve the effectiveness of actions.Perception,cognition and observation are the key components of big data analysis technology revolving around complexity theory.The paper disucsses the above issues and present a work-in-progress framework of residents' activity space analysis in the field of urban transport.