Software for infrastructure risk and regional ground motions

	Code for ground motion spatial correlation fitting using empirial observations, as described in Baker and Chen (2020).
	Example code to generate spatially correlated simulations of ground motion intensities at multiple periods, using Principle Component Analysis, as described in Markhvida et al. (2018).
	Example code to generate spatially correlated simulations of ground motion intensities for a region. This code utilizes the OpenSHA event set simulator to generate earthquake ruptures and ground motion predictions, and supplements that code with features to generate spatially gridded locations and to simulate spatially correlated residuals.
	Data for the San Francisco Bay Area road and public transit system, including ground-motion intensity maps, damage maps, and network performance assessment, as described in Chapter 2 and Appendix A of "Seismic Risk Assessment of Complex Transportation Networks."
	Example code and data to illustrate the efficient transportation model using iterative traffic assignment described in Chapter 2 of "Seismic risk assessment of complex transportation networks,"
	Example code to illustrate the ground motion map selection calculations from "Ground-motion intensity and damage map selection for probabilistic infrastructure network risk assessment using optimization."

Other software is available at our group's GitHub site.

Acknowledgment

This work was supported in part by the UPS Foundation, Google and the National Science Foundation under NSF grant number CMMI 09524020. Any opinions, findings, conclusions or recommendations expressed in this material are those of the authors and do not necessarily reflect those of the funding agencies.

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