TY - GEN
T1 - Complex systems modeling of infrastructure assets, operators, users, and politicians using system dynamics
AU - Osman, Hesham
AU - Ali, Mohammed R.Hassan
PY - 2012
Y1 - 2012
N2 - Traditional infrastructure asset management frameworks have focused on modeling the physical infrastructure asset. Infrastructure systems (IS) are a complex web of various physical and human elements that interact together to exhibit evolving behavior. This paper proposes the use of system dynamics (SD) modeling to represent the interactions that occur among physical infrastructure, system operators, infrastructure users and political decision makers. The proposed model considers; a) the assets' conditions, and deterioration rates, b) the operators' decisions and policies, c) the users' attitude and fees, d) the politicians' budget allocation decisions and political approval rates. Causal loop diagrams are developed to capture the relationships between these components and balancing / reinforcing loops are identified. An illustrative simulation example is presented to highlight how a change in the components of any of the four sectors under consideration, has a propagating effect through the other sectors. The developed SD simulation model can be used as a test bed to evaluate both short-term and long-term impacts of policy decisions on the goals of users, system operators and politicians.
AB - Traditional infrastructure asset management frameworks have focused on modeling the physical infrastructure asset. Infrastructure systems (IS) are a complex web of various physical and human elements that interact together to exhibit evolving behavior. This paper proposes the use of system dynamics (SD) modeling to represent the interactions that occur among physical infrastructure, system operators, infrastructure users and political decision makers. The proposed model considers; a) the assets' conditions, and deterioration rates, b) the operators' decisions and policies, c) the users' attitude and fees, d) the politicians' budget allocation decisions and political approval rates. Causal loop diagrams are developed to capture the relationships between these components and balancing / reinforcing loops are identified. An illustrative simulation example is presented to highlight how a change in the components of any of the four sectors under consideration, has a propagating effect through the other sectors. The developed SD simulation model can be used as a test bed to evaluate both short-term and long-term impacts of policy decisions on the goals of users, system operators and politicians.
UR - https://www.scopus.com/pages/publications/84866240646
U2 - 10.1061/9780784412329.229
DO - 10.1061/9780784412329.229
M3 - Conference contribution
AN - SCOPUS:84866240646
SN - 9780784412329
T3 - Construction Research Congress 2012: Construction Challenges in a Flat World, Proceedings of the 2012 Construction Research Congress
SP - 2280
EP - 2289
BT - Construction Research Congress 2012
ER -