This paper proposes that urban informatics can represent a flow of information from diverse and voluminous data into and back from the planning process. We present a proof-of-concept of how an urban informatics approach can improve public understanding of essential information in the planning process, and we propose a theoretical construct of how it can make planning processes more democratic and participatory, especially for disadvantaged groups. Specifically, this study uses a multi-dimensional spatial scan technique to discover household movement patterns in Chicago from millions of household address records between 2006 and 2015. The results locate the types of movement and displacement associated with specific places at a highly detailed spatial resolution. A user-interface is developed and proposed to enhance sharing of the information to the general public and involves diverse stakeholders in policy-making processes.

中文翻译：

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一种理解芝加哥大都会居民流动性的城市信息学方法

这篇论文提出，城市信息学可以表示从各种海量数据进出规划过程的信息流。我们提出了城市信息学方法如何提高公众对规划过程中基本信息的理解的概念验证，并提出了一个理论结构，说明它如何使规划过程更加民主和参与，尤其是对于弱势群体。具体而言，本研究使用多维空间扫描技术从 2006 年至 2015 年间的数百万家庭地址记录中发现芝加哥的家庭移动模式。结果以高度详细的空间分辨率定位与特定地点相关的移动和位移类型。