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

被引:5
|
作者
Mo, Weiwei [1 ]
Lu, Zhongming [2 ]
Dilkina, Bistra [3 ]
Gardner, Kevin H. [1 ]
Huang, Ju-Chin [4 ]
Foreman, Maria Christina [5 ]
机构
[1] Univ New Hampshire, Dept Civil & Environm Engn, Durham, NH 03824 USA
[2] Beijing Normal Univ, Sch Environm, Beijing 100875, Peoples R China
[3] Univ Southern Calif, Sch Engn, Los Angeles, CA 90089 USA
[4] Univ New Hampshire, Peter T Paul Coll Business & Econ, Durham, NH 03824 USA
[5] US Dept Transportat, Volpe Natl Transportat Syst Ctr, Washington, DC 20590 USA
来源
SUSTAINABILITY | 2018年 / 10卷 / 06期
基金
美国国家科学基金会;
关键词
infrastructure interdependence; choice experiment; agent-based modeling; system dynamics modeling; spatial optimization; decentralization; LIFE-CYCLE ASSESSMENT; CLIMATE-CHANGE; LAND-USE; SIMULATION; IMPACT; POLICY;
D O I
10.3390/su10061845
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
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.
引用
收藏
页数:10
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