Quantifying the Influence of Climate Change to Priorities for Infrastructure Projects

被引:19
|
作者
You, Haowen [1 ]
Lambert, James H. [1 ]
Clarens, Andres F. [2 ]
McFarlane, Benjamin J. [3 ]
机构
[1] Univ Virginia, Ctr Risk Management Engn Syst, Charlottesville, VA 22904 USA
[2] Univ Virginia, Dept Civil & Environm Engn, Charlottesville, VA 22904 USA
[3] Hampton Rd Planning Dist Commiss, Chesapeake, VA 23320 USA
关键词
Deep uncertainty; infrastructure systems; risk analysis; robust decision making; transportation planning; DEEP UNCERTAINTIES; ADAPTATION;
D O I
10.1109/TSMC.2013.2248709
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Uncertainties of climate change and other nonprobabilistic and structural uncertainties need to be addressed in strategic planning and priority setting for infrastructure systems. Traditional economic analysis and risk analysis of particular uncertainties can be prohibitive due to sparse data, complex models, and unforeseen interactions of climate change with other stressors. Nevertheless, planners need to proceed in the near term and may be asked to allocate resources to these deep uncertainties. This paper identifies and quantifies the influence of climate change combining with other sources of uncertainty to the priority order of projects in a portfolio of infrastructure investments. A demonstration for the Hampton Roads region of Virginia proceeds as follows. First, we apply traditional multicriteria analysis to generate a baseline prioritization of over 93 transportation projects. Next, we identify the following scenarios: climate conditions combined with economic conditions, wear and tear, ecological conditions, and traffic-demand conditions, and climate conditions alone. Next, we adjust a multicriteria value function for each scenario. We then quantify the sensitivity of the priority order of projects to the scenarios. Last, we identify the scenarios that are disruptive to the baseline prioritization. This approach is widely applicable to strategic planning for infrastructure systems that are subject to uncertainties of emergent and future conditions.
引用
收藏
页码:133 / 145
页数:13
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