Proceedings of the International Conference on GeoComputation
High-resolution daytime travel flows and population distribution data are critical for addressing important issues ranging from business planning to emergency preparedness and response. Though dasymetric modeling approaches and Census datasets have been developed to capture daytime populations and travel flows, they often lack the spatial resolution, demographic detail and uncertainty measures needed by decision-makers. In this paper, we propose a high-resolution simulation approach for estimating and quantifying the uncertainty of worker subpopulation distributions and their commuter travel flows in the United States (U.S.). An early case study and novel visualization illustrate the model’s potential utility and impact.