Governing Competition and Collaboration in Network Industries Using Agent-Based Modeling: A Case-Study of US Air Transportation Network
Authored by Hamid R Darabi, Mo Mansouri
Date Published: 2017
DOI: 10.1109/jsyst.2015.2448635
Sponsors:
No sponsors listed
Platforms:
AnyLogic
Model Documentation:
ODD
Mathematical description
Model Code URLs:
Model code not found
Abstract
Network industries include a multitude of organizations and companies
delivering valuable services and products for modern life. Surprisingly,
the impact of the structural complexity of their underlying physical
infrastructure on the behavior of these organizations has not been
explored yet. The aim of this paper is to study the role of an initial
network structure on the throughput of these complex systems, and to
provide evidence for the value of using agent-based modeling (ABM) in
governing competition and collaboration in network industries. A
two-stage multiround game provides the mathematical foundation to
examine the behavior of players in the complex interconnected structure
of a network industry. The United States Air Transportation Network is
used as the case study. The real data on the different elements of the
system are embedded into an agent-based model to provide a descriptive
model of behaviors within it. The outcome of the model shows path
dependence in the system and highlights the impact of initial network
conditions on the market. Moreover, this model provides evidence on the
usefulness of ABM for understanding the interrelationships between
economic behavior and the physical structure of the system.
Tags
Simulation
Evolution
Cooperation
complexity theory
Systems engineering
Agent-based modeling (ABM)
Economics
System
Protocol
Welfare
Air transportation
Network industry
Airline alliances