  In this paper, we introduce the OpenStreetMap Mobility Demand Generator
(OMOD), a new open-source activity-based mobility demand generation tool. OMOD
creates a population of agents and detailed daily activity schedules that state
what activities each agent plans to conduct, where, and for how long. The
temporal aspect of the output is wholly disaggregated, while the spatial aspect
is given on the level of individual buildings. In contrast to other existing
models, OMOD is freely available, open-source, works out-of-the-box, can be
applied to any region on earth, and only requires freely available
OpenStreetMap (OSM) data from the user. With OMOD, it is easy for non-experts
to create realistic mobility demand, which can be used in transportation
studies, energy system modeling, communications system research, et cetera.
OMOD uses a data-driven approach to generate mobility demand that has been
calibrated with household travel survey data. This paper describes OMOD's
architecture and validates the model for three cities ranging from 200,000 to
2.5 million inhabitants.
