Abstract
Modelling the performance of interdependent infrastructure systems paves the way for strategic infrastructure disaster risk management. The nature of different systems makes it hard to model every system at the same resolution. Modelling different systems at different resolutions can also reduce the computational time for more efficient infrastructure resilience planning, especially when large-scale infrastructure systems are considered. This paper categorises the infrastructure interdependencies into three levels based on the modelling resolution: system-to-system, system-to-facility, and facility-to-facility. The applicability and limitations for each category are identified. The version II of the Dynamic Integrated Network model (DIN II) is introduced to model the infrastructure recovery with incorporating multi-level interdependencies and the uncertainties in the modelling process, which improve the flexibility of the model and increase the accuracy of the modelling results. The DIN II is applied to simulate the performance of interdependent power, water, cellular, transportation and social systems in Galveston City, TX under Hurricane Ike (2008) with considering multi-level interdependencies. Model comparison results imply that the power restoration time will be underestimated if no interdependencies or only facility-to-facility level interdependencies are considered.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.