The article discusses the challenges of creating transport models that cover both urban and rural areas. Standard models work well in cities, but struggle when combining urban and rural data. The researchers explore the unique issues in developing these joint models, focusing on the data used, the different parts of the model, and how to fine-tune them for accuracy.