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Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus

1
Department of Civil and Environmental Engineering, University of New Hampshire, Durham, NH 03824, USA
2
School of Environment, Beijing Normal University, Beijing 100875, China
3
School of Engineering, University of Southern California, Los Angeles, CA 90089, USA
4
Peter T. Paul College of Business and Economics, University of New Hampshire, Durham, NH 03824, USA
5
Volpe National Transportation Systems Center, U.S. Department of Transportation, Washington, DC 20590, USA
*
Author to whom correspondence should be addressed.
Sustainability 2018, 10(6), 1845; https://doi.org/10.3390/su10061845
Received: 5 April 2018 / Revised: 24 May 2018 / Accepted: 31 May 2018 / Published: 2 June 2018
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Abstract

A modeling framework was conceptualized for capturing the complexities in resilience and sustainability associated with integration of centralized and decentralized water and energy systems under future demographic, climate, and technology scenarios. This framework integrates survey instruments for characterizing individual preferences (utility functions) related to decentralization of water and energy infrastructure systems. It also includes a spatial agent-based model to develop spatially explicit adoption trajectories and patterns in accordance with utility functions and characteristics of the major metropolitan case study locations as well as a system dynamics model that considers interactions among infrastructure systems, characterizes measures of resilience and sustainability, and feeds these back to the agent-based model. A cross-scale spatial optimization model for understanding and characterizing the possible best case outcomes and for informing the design of policies and incentive/disincentive programs is also included. This framework is able to provide a robust capacity for considering the ways in which future development of energy and water resources can be assessed. View Full-Text
Keywords: infrastructure interdependence; choice experiment; agent-based modeling; system dynamics modeling; spatial optimization; decentralization infrastructure interdependence; choice experiment; agent-based modeling; system dynamics modeling; spatial optimization; decentralization
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Mo, W.; Lu, Z.; Dilkina, B.; Gardner, K.H.; Huang, J.-C.; Foreman, M.C. Sustainable and Resilient Design of Interdependent Water and Energy Systems: A Conceptual Modeling Framework for Tackling Complexities at the Infrastructure-Human-Resource Nexus. Sustainability 2018, 10, 1845.

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