The study of commuting mode choice is crucial since driving, with all its associated environmental and economic consequences, is the United States' most popular mode of t[...]

Prediction of complex epidemiological systems such as COVID-19 is challenging on many grounds. Commonly used compartmental models struggle to handle an epidemiological pr[...]

Properties of spatially explicit data are often ignored or inadequately handled in machine learning for spatial domains of application. At the same time, resources that w[...]

New modes of public transportation such as micromobility are rapidly growing in urban areas. Bike sharing and e-scooter sharing, for example, have been advanced to solve [...]