Abstract
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.
| Original language | English (US) |
|---|---|
| Title of host publication | IISE Annual Conference and Expo 2019 |
| Publisher | Institute of Industrial and Systems Engineers, IISE |
| ISBN (Electronic) | 9781713814092 |
| State | Published - 2019 |
| Event | 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 - Orlando, United States Duration: May 18 2019 → May 21 2019 |
Publication series
| Name | IISE Annual Conference and Expo 2019 |
|---|
Conference
| Conference | 2019 Institute of Industrial and Systems Engineers Annual Conference and Expo, IISE 2019 |
|---|---|
| Country/Territory | United States |
| City | Orlando |
| Period | 5/18/19 → 5/21/19 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Industrial and Manufacturing Engineering
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