Centerville Community

The Centerville Virtual Community was designed, by the NIST-funded Center of Excellence on Risk-Based Community Resilience Planning, to embody all the features of a city, but with various simplifications and features that would allow the research teams to stress their models in various ways during the Testbed study. Its primary purpose is to test the modeling and linkages between relatively simple representations of building inventories [Lin & Wang, 2016b, 2017a&b], transportation systems, and utility systems and the socioeconomic systems within the community that they support, and to inform the development of algorithms to estimate impact and recovery trajectories of systems within the community that are essential for its resilience. A secondary, but important, purpose is to provide an environment where the engineering, economics and social science teams can work together successfully toward a common goal at an early stage in the Center research, something that has not been achieved in previous large multidisciplinary engineering research centers. It is expected that the Centerville Testbed, along with other real and more complex communities will be developed on the IN-CORE platform (by the COE Team) after the Centerville Tested study, will inform the development of more refined community resilience assessment methods in the resilience research community.

(To request Centerville GIS Zoning Map and Building Portfolio Data for research purpose, please contact naiyu.wang@ou.edu)

Figure T1: Centerville Zoning Map


Shelby County, TN

Shelby County, TN, was selected, by the NIST-funded Center of Excellence on Risk-Based Community Resilience Planning, as a real testbed community to test the developed modeling and linkages between building inventories, transportation networks, utility systems, and the socioeconomic systems within the community that civil infrastructure systems support, and to test the scalability of developed algorithms for estimating hazard impact and post-disaster recovery for large-size communities. We have 1) implemented a state-of-art minimum cost based network interdependency model to Shelby utility systems to investigate their cascading failure patterns and their impact to building portfolio functionality losses (Figure T2); 2) developed a stage-wise decision framework to support Shelby roadway network resilience planning; and 3) developed a hydrological-hydraulic coupled flood model (Figure T3) to provide necessary spatial and temporal hazard (demand) characterization to support physical and human infrastructure resilience study to flood hazards.

Figure 2T: Shelby County: Integrated Analysis of Water System, Power Network and Building Portfolio.

Figure 3T: Shelby County: Wolf River Basin and its River Network