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Different simulation platforms are combined depending on the hazard type, scale of analysis, and required level of detail. For seismic analysis, one important platform is OpenSees, which is an open source framework widely used for nonlinear structural and geotechnical earthquake simulations. It is particularly suitable for nonlinear time history analysis and collapse simulation.

In addition, we have also developed our own simulation tools in collaboration with the NHERI SimCenter for large scale regional resilience assessment and physics based disaster simulation.

Theoretically, this can certainly be achieved using the CIM framework. However, for bridge damage assessment, it is necessary to develop appropriate simplified physics-based models for different bridge systems, like what we developed for buildings in this study. Since bridges have diverse structural configurations such as integral bridges, conventional bridges, cable stayed bridges, and arch bridges, their seismic behaviour and failure mechanisms can differ significantly.

Therefore, the accuracy of the assessment depends strongly on the quality of the bridge models and the available structural data. At the current stage, CIM mainly serves as an integrated platform for data management, simulation, and visualization. The damage estimation itself still relies on the underlying physics-based models and analysis methods.

The proposed framework directly considers the full ground motion time history as the input for nonlinear dynamic analysis. Therefore, it can naturally evaluate structural performance under both near field and far field earthquakes.

For example, near field ground motions often contain strong velocity pulses and directivity effects, which can significantly increase structural demands. Since these characteristics are explicitly included in the input ground motion records, the simulation can capture their influence on the structural response. Similarly, far field ground motions with longer duration and different frequency characteristics can also be analyzed within the same framework. In other words, the CIM based framework itself does not need a fundamental alteration for different earthquake types. Rather, the response depends on the characteristics of the selected ground motion records used in the analysis.

Therefore, the method is flexible and can handle different types of earthquake inputs while providing corresponding structural and city scale performance evaluations accordingly.

Yes, the foundation type is indeed an important factor because the structural response can vary significantly between shallow foundations and pile foundations due to soil structure interaction effects.

In our previous research, we proposed different simplified models for shallow and pile foundation systems, and these modeling approaches can also be incorporated into the CIM based framework presented in this study. The framework is flexible enough to include different foundation representations depending on the available data and required level of accuracy. GIS itself may not always directly provide detailed foundation information for every structure.

However, such information can be integrated from geotechnical databases, design documents, BIM models, or infrastructure records when available. By incorporating appropriate soil and foundation stiffness models, the simulation can capture the influence of foundation type and local soil conditions on the seismic response.