Indicator Approach for Assessing Climate Change Vulnerability in Transportation Infrastructure

被引:19
|
作者
Rowan, Emily [1 ]
Snow, Cassandra [2 ]
Choate, Anne [3 ]
Rodehorst, Beth [1 ]
Asam, Susan [4 ]
Hyman, Robert [5 ]
Kafalenos, Robert [5 ]
Gye, Aung [5 ]
机构
[1] ICF Int, San Francisco, CA 94107 USA
[2] ICF Int, Washington, DC 20006 USA
[3] ICF Int, Philadelphia, PA 19118 USA
[4] ICF Int, Honolulu, HI 96734 USA
[5] Fed Highway Adm, US Dept Transportat, Washington, DC 20590 USA
关键词
RESILIENCE; CAPACITY;
D O I
10.3141/2459-03
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
From installing culverts with larger safety margins to instituting more frequent training for weather emergencies, transportation agencies around the world are adapting to extreme weather and climate change. An understanding of when and how to adapt (i.e., improve infrastructure preparedness) requires evaluating existing and future vulnerabilities to climate change and prioritizing adaptation efforts. A successful vulnerability assessment lays the groundwork for adaptation by building stakeholder relationships, spurring data collection, and prioritizing needs. One barrier faced by transportation agencies in conducting vulnerability assessments is a lack of financial and staff resources. The process of collecting climate and asset data can be particularly onerous for agencies struggling to meet daily operational needs. Two recent projects piloted a cost-effective screening method for highly vulnerable assets that used indicators developed from data already being collected by many state departments of transportation and metropolitan planning organizations. The indicator that libraries developed during the course of these two studies is described. The results of the data-driven vulnerability screen provide transportation managers with a low-cost starting point toward understanding their system's vulnerabilities. Future research should focus on testing the indicators to identify and eliminate areas of overlap and on evaluating the prediction accuracy for exposure, sensitivity, and adaptive capacity.
引用
收藏
页码:18 / 28
页数:11
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