The Interdependent Networked Community Resilience Modeling Environment (IN-CORE): Science, Structure and Examples

Published

January 1, 2001

Author(s)

John van de Lindt, Daniel Cox, Paolo Gardoni, Jong Lee, Jamie Padgett, Therese P. McAllister, Andre Barbosa, Harvey Cutler, Shannon van Zandt

Abstract

ABSTRACT: Community resilience is the ability of a community to plan for, withstand, and recover from a natural hazard such as an earthquake or flood. Advancing community (or urban) resilience requires: (1) an understanding of how the physical infrastructure, economy, and social institutions within a community will perform and population will respond when disrupted by a natural hazard event, and (2) the ability to examine an array of strategies for improving resilience, such as design code improvements or post-event recovery policies, using decision science. To enhance the ability of communities to make decisions that improve their resilience, a robust quantitative model is needed that can accurately model physical and social systems and characterize their interactions during simulations of a damaging event and later in the recovery period of systems repair and restoration. In 2015, the U.S. National Institute of Standards and Technology funded the Center for Risk-Based Community Resilience Planning (the "Center") to advance resilience science and develop computational environment capable of modeling communities, both large and small, to support resilience planning and evaluation. In this paper, the multidisciplinary approach behind the Center's open-source Interdependent Networked Community Resilience Modeling Environment (IN-CORE) is highlighted. Buildings, networks, natural hazards, physical damage models all map to impacts to functionality, local economy, social institutions, and resident populations. Alternative resilience policy options, data, and metrics for decision support are encompassed within IN-CORE. This multidisciplinary approach is essential in addressing the interdependent nature of physical, social, and economic systems that contribute to community resilience. Four examples are presented to highlight the capabilities of IN-CORE.

Conference Dates

September 13-17, 2022

Conference Location

Shanghai, CN

Conference Title

The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021)

Pub Type

Conferences

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Keywords

Community resilience, Natural hazards, Mitigation, Policy, Computational Environment

Citation

van de Lindt, J. , Cox, D. , Gardoni, P. , Lee, J. , Padgett, J. , McAllister, T. , Barbosa, A. , Cutler, H. and van Zandt, S. (2001), The Interdependent Networked Community Resilience Modeling Environment (IN-CORE): Science, Structure and Examples, The 13th International Conference on Structural Safety and Reliability (ICOSSAR 2021), Shanghai, CN, [online], https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=934712 (Accessed July 18, 2024)