Relaxation-discretization algorithm for spatially constrained secondary location assignment
- Conference Paper
Rights / licenseIn Copyright - Non-Commercial Use Permitted
Agent-based transport models demand that the daily activity patterns of artificial agents are described in great detail. While established choice models for residential locations or work places exist, only few approaches are available to find locations for highly constrained secondary activities such as grocery shopping or recreation. The paper describes a novel data-driven approach of assigning viable locations to such secondary locations while maintaining consistency with homes, work places and other fixed points in an artificial traveller’s daily plan. Two use cases for Switzerland and Île-de-France are presented which show that the algorithm is able to assign locations while providing realistic distance distributions that are consistent with mode-specific travel times. Show more
External linksSearch via SFX
Organisational unit03521 - Axhausen, Kay W. / Axhausen, Kay W.
02655 - Netzwerk Stadt und Landschaft D-ARCH
MoreShow all metadata