Agent-based demand models often rely on pre-computed matrices that describe travel times and distances per transport mode as one of the inputs for computing the mode’s utility within the embedded mode choice model. These matrices have to consider the available infrastructure, mainly the road network, as well as public transport schedules and the modes’ individual characteristics. Thereby, the computation of such matrices can be relatively complex and requires different types of data. This report presents a lean solution for computing such matrices based on an existing open-source tool for accessibility measures computation. A comparison of the results against matrices obtained from an earlier approach, which involved several manual steps, shows a high conformity.