The City of Detroit has built an integrated, digital infrastructure for land data to respond to the urban planning issues of housing and building condition. "Base Units" is stitching administrative data and geospatial elements together to get as near to real-time as possible for residential building conditions.
Detroit has faced many residential planning data challenges including outdated housing records, a patchwork of housing and blight surveys, infrequent aerial imagery, fragmented city department information systems, and slow reporting. It created a new Data Strategy and Analytics section in its IT Department and launched Base Units as the schema to integrate land, property, addresses, and building data. By integrating more real time data and geospatial imagery into Base Units tools, the city has been able to rapidly respond to its housing issues. Closed Captioning
Learning Objectives:
Understand the benefits and limitations of specific types of geospatial, photographic, and condition data assets that are relevant to capturing a near-time representation of housing in the context of an integrated database.
Gain insight into the methods and tools Detroit is using to construct Base Units, an integrated data schema and set of GIS methods developed to support planning and policy
Know the types of policy and planning scenarios that can be addressed with integrated land data, and gain a deeper understanding of how Detroit applies this to blight.
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