Chapter
Jun 13, 2019
ASCE International Conference on Computing in Civil Engineering 2019

Agent-Based Modeling Framework for Simulation of Societal Impacts of Infrastructure Service Disruptions during Disasters

Publication: Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience

ABSTRACT

The objective of this paper is to model and examine the impacts of different levels of infrastructure service losses caused by disasters on the households’ well-being residing in a community. An agent-based simulation model was developed to capture complex mechanisms underlying households’ tolerance for the service outages, including household characteristics (e.g., sociodemographic, social capital, resources, and previous disaster experience), physical infrastructure attributes, and extreme disruptive events. The rules governing these mechanisms were determined using empirical survey data collected from the residents of Harris County affected by Hurricane Harvey as well as the existing models for power outages and service restoration times. The analysis results highlighted the spatial diffusion of service risks among households living in affected areas in disasters. The proposed simulation model will provide utility agencies with an analytical tool for prioritization of infrastructure service restoration actions to effectively mitigate the societal impacts of service losses.

Get full access to this article

View all available purchase options and get full access to this chapter.

ACKNOWLEDGMENT

The authors would like to acknowledge the funding support from the National Academies’ Gulf Research Program Early-Career Research Fellowship. The research presented is supported in part by an Institutional Grant (NA18OAR4170088) to the Texas Sea Grant College Program from the National Sea Grant Office, National Oceanic and Atmospheric Administration, U.S. Department of Commerce. Any opinions, findings, and conclusion or recommendations expressed in this research are those of the authors and do not necessarily reflect the view of the funding agencies.

REFERENCES

Azar, E., and Menassa, C. C. (2012). “Agent-Based Modeling of Occupants and Their Impact on Energy Use in Commercial Buildings.” Journal of Computing in Civil Engineering, 26(4), 506–518.
Batouli, M., and Mostafavi, A. (2018). “Multiagent Simulation for Complex Adaptive Modeling of Road Infrastructure Resilience to Sea-Level Rise.” Computer-Aided Civil and Infrastructure Engineering, 33(5), 393–410.
Bonabeau, E. (2002). “Agent-based modeling: methods and techniques for simulating human systems.” Proceedings of the National Academy of Sciences, 99(suppl. 3), 7280–7287.
Davidson, R. A., Liu, H., Sarpong, I. K., Sparks, P., and Rosowsky, D. V. (2003). “Electric power distribution system performance in Carolina Hurricanes.” Natural Hazards Review, 4(February), 36.
Dunn, S., Ph, D., Wilkinson, S., Ph, D., Alderson, D., Fowler, H., Galasso, C., and Ph, D. (2018). “Fragility Curves for Assessing the Resilience of Electricity Networks Constructed from an Extensive Fault Database.” 19(1), 1–10.
Fothergill, A., Maestas, E. G. M., and Darlington, J. D. (1999). “Race, Ethnicity and Disasters in the United States: A Review of the Literature.” Disasters, 23(2), 156–173.
Liu, H., Davidson, R. A., and Apanasovich, T. V. (2007). “Statistical forecasting of electric power restoration times in hurricanes and ice storms.” IEEE Transactions on Power Systems, 22(4), 2270–2279.
Miles, S. B., and Chang, S. E. (2011). “ResilUS: A Community Based Disaster Resilience Model.” Cartography and Geographic Information Science, 38(1), 36–51.
Mostafavi, A., Abraham, D., DeLaurentis, D., Sinfield, J., Kandil, A., and Queiroz, C. (2015). “Agent-Based Simulation Model for Assessment of Financing Scenarios in Highway Transportation Infrastructure Systems.” Journal of Computing in Civil Engineering, 30(2), 04015012.
Murphy, C., and Gardoni, P. (2006). “The role of society in engineering risk analysis: A capabilities-based approach.” Risk Analysis, 26(4), 1073–1083.
Mustapha, K., Mcheick, H., and Mellouli, S. (2013). “Modeling and simulation agent-based of natural disaster complex systems.” Procedia Computer Science.
Nateghi, R., Guikema, S., and Quiring, S. M. (2014). “Power Outage Estimation for Tropical Cyclones: Improved Accuracy with Simpler Models.” Risk Analysis, 34(6), 1069–1078.
Panteli, M., Pickering, C., Wilkinson, S., and Dawson, R. (2017). “Power System Resilience to Extreme Weather : Fragility Modeling, Probabilistic Impact Assessment, and Adaptation Measures.” 32(5), 3747–3757.
Rasoulkhani, K., Logasa, B., Reyes, M. P., and Mostafavi, A. (2018). “Understanding fundamental phenomena affecting the water conservation technology adoption of residential consumers using agent-based modeling.” Water (Switzerland), 10(8).
Rasoulkhani, K., and Mostafavi, A. (2018). “Resilience as an emergent property of human-infrastructure dynamics: A multi-agent simulation model for characterizing regime shifts and tipping point behaviors in infrastructure systems.” Plos One, 13, e0207674.
Rasoulkhani, K., Reyes, M. P., and Mostafavi, A. (2017). “Emergence of Resilience from Infrastructure Dynamics: A Simulation Framework for Theory Building.” Computing in Civil Engineering, 256–264.
Stein, R., Subramanian, D., Winkler, J., and Duen, L. (2010). “Performance assessment of topologically diverse power systems subjected to hurricane events.” 95, 323–336.

Information & Authors

Information

Published In

Go to Computing in Civil Engineering 2019
Computing in Civil Engineering 2019: Smart Cities, Sustainability, and Resilience
Pages: 16 - 23
Editors: Yong K. Cho, Ph.D., Georgia Institute of Technology, Fernanda Leite, Ph.D., University of Texas at Austin, Amir Behzadan, Ph.D., Texas A&M University, and Chao Wang, Ph.D., Louisiana State University
ISBN (Online): 978-0-7844-8244-5

History

Published online: Jun 13, 2019
Published in print: Jun 13, 2019

Permissions

Request permissions for this article.

Authors

Affiliations

Amir Esmalian [email protected]
Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, USA. E-mail: [email protected]
Maitreyi Ramaswamy [email protected]
Dept. of Computer Science and Engineering, Texas A&M Univ., College Station, USA. E-mail: [email protected]
Kambiz Rasoulkhani [email protected]
Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, USA. E-mail: [email protected]
Ali Mostafavi [email protected]
Zachry Dept. of Civil Engineering, Texas A&M Univ., College Station, USA. E-mail: [email protected]

Metrics & Citations

Metrics

Citations

Download citation

If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.

Cited by

View Options

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$146.00
Add to cart

Get Access

Access content

Please select your options to get access

Log in/Register Log in via your institution (Shibboleth)
ASCE Members: Please log in to see member pricing

Purchase

Save for later Information on ASCE Library Cards
ASCE Library Cards let you download journal articles, proceedings papers, and available book chapters across the entire ASCE Library platform. ASCE Library Cards remain active for 24 months or until all downloads are used. Note: This content will be debited as one download at time of checkout.

Terms of Use: ASCE Library Cards are for individual, personal use only. Reselling, republishing, or forwarding the materials to libraries or reading rooms is prohibited.
ASCE Library Card (5 downloads)
$105.00
Add to cart
ASCE Library Card (20 downloads)
$280.00
Add to cart
Buy Single Paper
$35.00
Add to cart
Buy E-book
$146.00
Add to cart

Media

Figures

Other

Tables

Share

Share

Copy the content Link

Share with email

Email a colleague

Share