Paper Info
Title
Chisim - an Agent-based simulation Model of Social Interactions in a Large Urban Area.
Abstract
Cities are complex, dynamic, evolving adaptive systems comprised of people as well as interconnected physical infrastructure. Simulation modeling can help us understand and shape the evolution of our cities. In this paper, we describe an agent-based simulation modeling framework applied to Chicago, called chiSIM (for the Chicago Social Interaction Model). Each person residing in Chicago is represented as an agent in chiSIM; all places where people can be located in Chicago also are represented. The model simulates the movements of people between locations on an hourly basis during the course of a typical day. Co-located agents engage in various kinds of social interactions, such as exchanging information, engaging in business transactions, or simply sharing physical proximity. We discuss technical approaches to large-scale urban modeling including development of synthetic populations, efficiency gains through distributed processing, logging and analysis of simulation results, and visualization.
Year
DOI
Venue
2018
10.1109/WSC.2018.8632409
WSC
Keywords
Field
DocType
Urban areas,Sociology,Statistics,Computational modeling,Adaptation models,Data models,Diseases
Social relation,Data science,Data modeling,Large urban area,Systems engineering,Adaptive system,Visualization,Computer science,Simulation modeling,Urban modeling,Business transactions
Conference
ISSN
ISBN
Citations 
0891-7736
978-1-5386-6572-5
2
PageRank 
References 
Authors
0.39
0
5
Name
Order
Citations
PageRank
Charles M. Macal193674.57
Nicholson T. Collier237634.31
Jonathan Ozik3134.70
Eric Tatara4134.03
John T. Murphy521.06