Author
Listed:
- Andreas Züfle
(George Mason University)
- Carola Wenk
(Tulane University)
- Dieter Pfoser
(George Mason University)
- Andrew Crooks
(University at Buffalo)
- Joon-Seok Kim
(George Mason University)
- Hamdi Kavak
(George Mason University)
- Umar Manzoor
(University of Hull)
- Hyunjee Jin
(George Mason University)
Abstract
We introduce the Urban Life agent-based simulation used by the Ground Truth program to capture the innate needs of a human-like population and explore how such needs shape social constructs such as friendship and wealth. Urban Life is a spatially explicit model to explore how urban form impacts agents’ daily patterns of life. By meeting up at places agents form social networks, which in turn affect the places the agents visit. In our model, location and co-location affect all levels of decision making as agents prefer to visit nearby places. Co-location is necessary (but not sufficient) to connect agents in the social network. The Urban Life model was used in the Ground Truth program as a virtual world testbed to produce data in a setting in which the underlying ground truth was explicitly known. Data was provided to research teams to test and validate Human Domain research methods to an extent previously impossible. This paper summarizes our Urban Life model’s design and simulation along with a description of how it was used to test the ability of Human Domain research teams to predict future states and to prescribe changes to the simulation to achieve desired outcomes in our simulated world.
Suggested Citation
Andreas Züfle & Carola Wenk & Dieter Pfoser & Andrew Crooks & Joon-Seok Kim & Hamdi Kavak & Umar Manzoor & Hyunjee Jin, 2023.
"Urban life: a model of people and places,"
Computational and Mathematical Organization Theory, Springer, vol. 29(1), pages 20-51, March.
Handle:
RePEc:spr:comaot:v:29:y:2023:i:1:d:10.1007_s10588-021-09348-7
DOI: 10.1007/s10588-021-09348-7
Download full text from publisher
As the access to this document is restricted, you may want to
for a different version of it.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:comaot:v:29:y:2023:i:1:d:10.1007_s10588-021-09348-7. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
We have no bibliographic references for this item. You can help adding them by using this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .
Please note that corrections may take a couple of weeks to filter through
the various RePEc services.