TY - GEN
T1 - Multivariate modeling for sustainable and resilient infrastructure systems and communities
AU - Obringer, Renee
AU - Nateghi, Roshanak
N1 - Funding Information:
The authors would like to acknowledge the Purdue Climate Change Research Center (PCCRC), the Center for Environment (C4E) for their support as well as the NSF grants #1826161 and #1728209.
Publisher Copyright:
© 2019 IISE Annual Conference and Expo 2019. All rights reserved.
PY - 2019
Y1 - 2019
N2 - Sustainability and resilience of urban systems are multifaceted concepts, requiring information about multiple system attributes to adequately evaluate and characterize. However, despite the scientific consensus on the multivariate nature of these concepts, many of the existing techniques to model urban sustainability and resilience are unidimensional in nature, focusing on a characterizing a single element of highly interconnected urban systems. We champion a paradigm shift in modeling urban sustainability and resilience, using an integrated approach to simultaneously estimate multiple interconnected (correlated) system attributes of sustainability and resilience as a function of key environmental factors. We present a novel case study and review a few recent studies to illustrate the applicability and benefits of the multivariate approach to modeling urban sustainability and resilience. Our proposed framework can be utilized by infrastructure managers, urban planners, and researchers to conceptualize and assess urban sustainability and resilience more holistically, and to better understand the key factors in advancing the sustainability and resilience of infrastructure systems.
AB - Sustainability and resilience of urban systems are multifaceted concepts, requiring information about multiple system attributes to adequately evaluate and characterize. However, despite the scientific consensus on the multivariate nature of these concepts, many of the existing techniques to model urban sustainability and resilience are unidimensional in nature, focusing on a characterizing a single element of highly interconnected urban systems. We champion a paradigm shift in modeling urban sustainability and resilience, using an integrated approach to simultaneously estimate multiple interconnected (correlated) system attributes of sustainability and resilience as a function of key environmental factors. We present a novel case study and review a few recent studies to illustrate the applicability and benefits of the multivariate approach to modeling urban sustainability and resilience. Our proposed framework can be utilized by infrastructure managers, urban planners, and researchers to conceptualize and assess urban sustainability and resilience more holistically, and to better understand the key factors in advancing the sustainability and resilience of infrastructure systems.
UR - http://www.scopus.com/inward/record.url?scp=85081588567&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85081588567&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:85081588567
T3 - IISE Annual Conference and Expo 2019
BT - IISE Annual Conference and Expo 2019
PB - Institute of Industrial and Systems Engineers, IISE
T2 - 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019
Y2 - 18 May 2019 through 21 May 2019
ER -
