TY - GEN
T1 - Safe-to-fail climate change adaptation strategies for phoenix roadways under extreme precipitation
AU - Kim, Yeowon
AU - Eisenberg, Daniel
AU - Bondank, Emily
AU - Chester, Mikhail
AU - Mascaro, Giuseppe
N1 - Publisher Copyright: © ASCE. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2017
Y1 - 2017
N2 - Built infrastructure continues to become more vulnerable to failure due to shifting temperature and precipitation extremes associated with global climate change. Current infrastructure design practices require risk analysis to predict a range of weather events in which built systems endure any possible failure - or "fail-safe" design. However, if the system receives a shock that is not foreseen with the historical data, it may lead to a shutdown of the entire system and thus cause unmanageable and cascading failures. Instead, "safe-to-fail" design takes into account uncertain future threats by privileging infrastructure solutions that do not compromise the entire urban system upon failure. In this study, we link climate and urban drainage models to predict future roadway vulnerability using the EPA storm water management model (SWMM) and propose a framework for "safe-to-fail" infrastructure adaptation strategy using multi-criteria decision analysis (MCDA). We demonstrate the practicality of this framework for future flooding events in Phoenix, Arizona. Taken together, our new infrastructure design framework is important for managing future extreme weather events by taking into account "safe-to-fail" decision factors neglected in traditional "fail-safe" design.
AB - Built infrastructure continues to become more vulnerable to failure due to shifting temperature and precipitation extremes associated with global climate change. Current infrastructure design practices require risk analysis to predict a range of weather events in which built systems endure any possible failure - or "fail-safe" design. However, if the system receives a shock that is not foreseen with the historical data, it may lead to a shutdown of the entire system and thus cause unmanageable and cascading failures. Instead, "safe-to-fail" design takes into account uncertain future threats by privileging infrastructure solutions that do not compromise the entire urban system upon failure. In this study, we link climate and urban drainage models to predict future roadway vulnerability using the EPA storm water management model (SWMM) and propose a framework for "safe-to-fail" infrastructure adaptation strategy using multi-criteria decision analysis (MCDA). We demonstrate the practicality of this framework for future flooding events in Phoenix, Arizona. Taken together, our new infrastructure design framework is important for managing future extreme weather events by taking into account "safe-to-fail" decision factors neglected in traditional "fail-safe" design.
UR - http://www.scopus.com/inward/record.url?scp=85035217263&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85035217263&partnerID=8YFLogxK
U2 - 10.1061/9780784481202.033
DO - 10.1061/9780784481202.033
M3 - Conference contribution
T3 - International Conference on Sustainable Infrastructure 2017: Policy, Finance, and Education - Proceedings of the International Conference on Sustainable Infrastructure 2017
SP - 348
EP - 353
BT - International Conference on Sustainable Infrastructure 2017
A2 - Pena-Mora, Feniosky
A2 - Soibelman, Lucio
PB - American Society of Civil Engineers (ASCE)
T2 - 2017 International Conference on Sustainable Infrastructure: Policy, Finance, and Education, ICSI 2017
Y2 - 26 October 2017 through 28 October 2017
ER -