Virtual Testbeds for Community Resilience Analysis: State-of-the-Art Review, Consensus Study, and Recommendations

Author:

Amin Enderami S.1ORCID,Mazumder Ram K.2ORCID,Dumler Meredith3ORCID,Sutley Elaina J.4ORCID

Affiliation:

1. Graduate Research Assistant, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., Lawrence, KS 66045 (corresponding author). ORCID: .

2. Postdoctoral Researcher, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., Lawrence, KS 66045. ORCID: .

3. Undergraduate Research Assistant, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., Lawrence, KS 66045. ORCID: .

4. Associate Professor, Dept. of Civil, Environmental and Architectural Engineering, Univ. of Kansas, 1530 W. 15th St., Lawrence, KS 66045. ORCID: .

Publisher

American Society of Civil Engineers (ASCE)

Subject

General Social Sciences,General Environmental Science,Civil and Structural Engineering,Building and Construction

Reference139 articles.

1. Aagaard, B. T., J. L. Blair, J. Boatwright, S. H. Garcia, R. A. Harris, A. J. Michael, D. P. Schwartz, and J. S. DiLeo. 2016. Earthquake outlook for the San Francisco Bay region 2014–2043. Washington, DC: USGS.

2. Serviceability Assessment of a Municipal Water System Under Spatially Correlated Seismic Intensities

3. Validation of Time-Dependent Repair Recovery of the Building Stock Following the 2011 Joplin Tornado

4. Aghababaei M. M. Koliou M. Watson and Y. Xiao. 2019. “Modeling business recovery after natural disasters: The case study of Lumberton NC following Hurricane Matthew.” In Proc. 2nd Int. Conf. on Natural Hazards and Infrastructure (ICONHIC 2019). Athens Greece: Innovation Center for Natural Hazards and Infrastructure.

5. Quantifying post-disaster business recovery through Bayesian methods

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