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Arnaud Grignard edited this page Nov 16, 2018 · 51 revisions

References: Grignard, A., Alonso, L., Taillandier, P., Gaudou, B., Nguyen-Huu, T., Gruel, W., & Larson, K. (2018, July). The Impact of New Mobility Modes on a City: A Generic Approach Using ABM. In International Conference on Complex Systems (pp. 272-280). Springer, Cham.

GAMA models are built on top of GIS layers that build geography of the model’s world. An overview of the GIS layer structure and object attributes used for CityScope models is below.

If you are new to GIS, see below.

Basic GIS Layer Structure

File Type Type
Buildings.shp Polygon
Roads.shp Line
table_bounds.shp Polygon
Amenities.shp Point
Bounds.shp Polygon

Building

Attribute Name Values
Usage ‘O’: office, ‘R’: Residential
Scale 'S': small, 'M': Medium, 'L': large
Category 'Uni': university, 'Shopping': commercial area, 'Restaurant': dining area, 'Night': nightlife, 'Park': communal greenspace, 'HS': high school, 'Cultural': areas of cultural significance
Floors From 0 to 100

Road

Empty attribute table.

Table Bounds

This layer represents the bounds of the CityScope physical table grid inside of the simulation.

Amenities

Point representing lunch/dinner break options for each agent in the simulation. Each point will represent the location of a restaurant, convenience store, or supermarket for example - anywhere someone can sit down and eat.

Attribute Name Description
Type The type of amenity this is (e.g. ‘restaurant’, ‘pub’, ‘fast food’)
Name The name of the amenity (e.g. ‘Saul’s Deli’, ‘In-N-Out Burger’)
Usage Each object should have this set to 'A'
Scale TBD

Bound

Represents the bounds of the simulation. Agents will not be able to exit this perimeter. Empty attribute table.

Agent Based Literature

Here is some literature about the Agent Based Modelling approach.

  • Introduction to ABM: Railsback, S. F., & Grimm, V. (2012). Agent-based and individual-based modeling: a practical introduction. Princeton university press.

  • ABM in Geo Spatial Simulation: Crooks, A., Castle, C., & Batty, M. (2008). Key challenges in agent-based modelling for geo-spatial simulation. Computers, Environment and Urban Systems, 32(6), 417-430.

  • Agent Based Visualization: Grignard, A., & Drogoul, A. (2017). Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs

  • Gama Platform: Grignard, A., Taillandier, P., Gaudou, B., Vo, D. A., Huynh, N. Q., & Drogoul, A. (2013, December). GAMA 1.6: Advancing the art of complex agent-based modeling and simulation. In International Conference on Principles and Practice of Multi-Agent Systems (pp. 117-131). Springer, Berlin, Heidelberg.

"When researchers want to study a particular phenomenon, they have several strategies. They can collect data on this phenomenon and study it using statistical tools, they can conduct experiments, and finally they can create an artificial reproduction of the phenomenon using a simulation. ABM is a simulation technique that represents explicit entities and behaviors in a program (Railsback and Grimm 2011). Agent-based models are composed of autonomous entities, called agents, operating in an environment interacting and organizing themselves (Treuil, Drogoul, and Zucker 2008). Such agents have attributes, behaviors, and capabilities of perception and communication. These agents might represent a multitude of phenomena ranging from the particle and cell to individuals or groups. ABM are characterized by their complexity, their dynamic, heterogeneous and multiscale" from Grignard, A., & Drogoul, A. (2017). Agent-Based Visualization: A Real-Time Visualization Tool Applied Both to Data and Simulation Outputs.

Getting Started With GIS

GIS Editor: We recommend downloading and using the QGIS software (see http://www.qgis.org/en/site/) to manipulate your GIS data.

To learn the fundamentals of GIS and the QGIS software, we recommend this presentation: http://training.datapolitan.com/qgis-training/Introduction_to_GIS_Fundamentals

GIS Data: For detailed GIS data http://download.geofabrik.de/

References

Alonso, Luis, et al. "Cityscope: a data-driven interactive simulation tool for urban design. Use case volpe." International Conference on Complex Systems. Springer, Cham, 2018.

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