Integrating heterogeneous data sources for better freight flow analysis and planning

We present ongoing work on developing an automated integration system for freight flow analysis and planning. To overcome the limitations of current estimation methods for commodity flows, we use reliable secondary sources, such as employment data, and derive estimates in a principled way by means of a computational workflow. When available, we extract the data automatically from online sources, so that the system maintains the estimations continuously updated. This project will allow planners and policymakers to make more informed decisions by accessing the most recent data and enhance the ability to explore different scenarios.