Our mission is to help computational modelers develop, document, and share their computational models in accordance with community standards and good open science and software engineering practices. Model authors can publish their model source code in the Computational Model Library with narrative documentation as well as metadata that supports open science and emerging norms that facilitate software citation, computational reproducibility / frictionless reuse, and interoperability. Model authors can also request private peer review of their computational models. Models that pass peer review receive a DOI once published.
All users of models published in the library must cite model authors when they use and benefit from their code.
Please check out our model publishing tutorial and feel free to contact us if you have any questions or concerns about publishing your model(s) in the Computational Model Library.
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Urban Dynamics
Hideyuki Nagai | Published Monday, November 11, 2019This is an urban dynamics ABM of abstraction of a city and residents’ activities there.
It allows you to evaluate the effects of urban policies, such as an introduction of an open facility for residents with pedestrian-friendly accommodations, promotion of bicycle use, and control of private automobile use in an urban central area, in controlling urban sprawl.
Bicycle model
Gudrun Wallentin Dana Kaziyeva Martin Loidl | Published Thursday, January 10, 2019 | Last modified Monday, February 22, 2021The purpose of the model is to generate the spatio-temporal distribution of bicycle traffic flows at a regional scale level. Disaggregated results are computed for each network segment with the minute time step. The human decision-making is governed by probabilistic rules derived from the mobility survey.
TransportVarese
Elena Vallino Elena Maggi | Published Tuesday, January 31, 2017 | Last modified Friday, August 04, 2017This ABM deals with commuting choices in the Italian city of Varese. Empirical data inform agents’ attitudes and modal choices costs and emissions. We evaluate ex ante the impact of policies for less polluting commuting choices.
Bicycle encounter model
Gudrun Wallentin | Published Saturday, October 29, 2016 | Last modified Friday, March 29, 2019This Bicycle encounter model builds on the Salzburg Bicycle model (Wallentin & Loidl, 2015). It simulates cyclist flows and encounters, which are locations of potential accidents between cyclists.
Salzburg Bicycle model
Gudrun Wallentin | Published Saturday, October 29, 2016An ABM to simulate the spatio-temporal distribution of cyclists across the road network of the city of Salzburg.