Leveraging Network Interdependences to Overcome Inaccessible Civil Infrastructure Data
- Resource Type
- Conference
- Authors
- Moore, Brigham; Jacques, David; Schuldt, Steven
- Source
- 2021 Winter Simulation Conference (WSC) Simulation Conference (WSC), 2021 Winter. :1-12 Dec, 2021
- Subject
- Computing and Processing
General Topics for Engineers
Couplings
Smart cities
Atmospheric modeling
Government
Decision making
Data acquisition
Medical services
- Language
- ISSN
- 1558-4305
Data-driven decision making and expansion of smart city infrastructure require massive amounts of data that might not be available. The lack of infrastructure data can make it challenging to recover interdependent infrastructure systems following a disruption. Interdependent infrastructure systems are often modeled as networks with an interdependency parameter. Researchers can partially overcome gaps in data associated with the individual networks by modifying interdependency parameters to include interdependency type and coupling strategy information. Overcoming missing telecommunications data is illustrated using a combined network design and scheduling problem with a modified interdependency parameter. The modified parameter allows analysis without a full dataset and removes the necessity of adding constraints and variables to handle complex infrastructure relationships. The difference in system operability results from partial and full datasets is less than or equal to 2.6%. This modeling method provides an interim solution to full data acquisition and may be suitable in other applications.