An urban informatics approach to understanding residential mobility in Metro Chicago

Haozhi Pan, Si Chen, Yizhao Gao, Brian Deal, Jinfang Liu

Research output: Contribution to journalArticlepeer-review


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.

Original languageEnglish (US)
Pages (from-to)1456-1473
Number of pages18
JournalEnvironment and Planning B: Urban Analytics and City Science
Issue number8
StatePublished - Oct 1 2020


  • Urban Informatics
  • communicative planning
  • gentrification
  • planning support systems
  • residential mobility
  • spatial scan

ASJC Scopus subject areas

  • Architecture
  • Geography, Planning and Development
  • Urban Studies
  • Nature and Landscape Conservation
  • Management, Monitoring, Policy and Law


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