Human mobility can be modeled as mixture of different transportation modes

28 agosto 2015

Computer scientists studied human mobility in urban areas from the point of view that mobility can be described as random walk with many short steps and fewer extremely long steps. Combining GPS data with information on transportation modes they model the average movement patterns of mobile users. Understanding of human mobility is important not just for, e.g., tracking epidemic diseases but also in planning sustainable urban areas with functional data resources.