Microsimulation-based models of urban systems have proven to be powerful tools for prediction and scenario analysis, with a particular yet continuously expanding focus on transportation and land use. They bring along a high level of detail, but they also come at the cost of enormous data needs for their estimation. This article develops a framework for the continuous deployment of a microsimulation-based urban model that integrates existing and emerging data sources.