Relaxation–discretization algorithm for spatially constrained secondary location assignment
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Open access
Date
2023Type
- Journal Article
ETH Bibliography
yes
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Abstract
Agent-based transport models demand that the daily activity patterns of artificial agents are described in great detail. While choice models for residential locations or workplaces exist, only few approaches are available to find locations for highly constrained secondary activities such as grocery shopping or recreation at high resolution. The paper describes a data-driven approach of assigning viable locations to such secondary locations while maintaining consistency with homes, workplaces and other fixed points in an artificial traveler'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
Permanent link
https://doi.org/10.3929/ethz-b-000508284Publication status
publishedExternal links
Journal / series
Transportmetrica A: Transport ScienceVolume
Pages / Article No.
Publisher
Taylor & FrancisSubject
Transport; Simulation; Secondary location; Assignment; Data driven; Synthetic populationOrganisational unit
03521 - Axhausen, Kay W. (emeritus) / Axhausen, Kay W. (emeritus)
02655 - Netzwerk Stadt u. Landschaft ARCH u BAUG / Network City and Landscape ARCH and BAUG
Related publications and datasets
Is new version of: https://doi.org/10.3929/ethz-b-000378016
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ETH Bibliography
yes
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