Incorporating Multi-Modal Travel Planning into an Agent-Based Model : A Case Study at the Train Station Kellinghusenstraße in Hamburg

Link:
Autor/in:
Erscheinungsjahr:
2021
Medientyp:
Text
Schlagworte:
  • multi-agent systems
  • spatial simulation
  • smart cities
  • MARS
  • decision support systems
  • urban planning
  • multi-modal travel
  • sustainable urbanism
  • urban governance
  • 004: Informatik
  • ddc:004
Beschreibung:
  • This dataset comprises a multi-layer, multi-aspects collection of open data covering the Kellinghusenstraße switch-point in Hamburg, Germany, together with an agent-based simulation model based on the MARS framework (www.mars-group.org). Both parts of this dataset, i.e., the data layers or the model, can be utilized separately or combined under the GNU AGPLv3 license. The MARS Box concept has been invented to support the usage of OpenData and agent-based simulation in education, research, and transfer. Please refer to: Lenfers, U.A., Ahmady-Moghaddam, N., Glake, D., Ocker, F., Ströbele, J., Clemen, T., 2021. Incorporating Multi-Modal Travel Planning into an Agent-Based Model: A Case Study at the Train Station Kellinghusenstraße in Hamburg. Land 10, 1179. https://www.mdpi.com/2073-445X/10/11/1179 for more details.
  • Behörde für Wissenschaft, Forschung, Gleichstellung und Bezirke​
  • Unknown
Lizenzen:
  • https://opensource.org/licenses/AGPL-3.0
  • info:eu-repo/semantics/openAccess
Quellsystem:
ReposIt

Interne Metadaten
Quelldatensatz
oai:reposit.haw-hamburg.de:20.500.12738/13081