Lorie Mark, Neumann James E, Sarofim Marcus C, Jones Russell, Horton Radley M, Kopp Robert E, Fant Charles, Wobus Cameron, Martinich Jeremy, O'Grady Megan, Gentile Lauren
Abt Associates, 1881 Ninth Street, Suite 201, Boulder, CO 80302, USA.
Industrial Economics, Inc., 2067 Massachusetts Avenue, Cambridge, MA 02140, USA.
Clim Risk Manag. 2020;29:100233. doi: 10.1016/j.crm.2020.100233.
The National Coastal Property Model (NCPM) simulates flood damages resulting from sea level rise and storm surge along the contiguous U.S. coastline. The model also projects local-level investments in a set of adaptation measures under the assumption that these measures will be adopted when benefits exceed the costs over a 30-year period. However, it has been observed that individuals and communities often underinvest in adaptive measures relative to standard cost-benefit assumptions due to financial, psychological, sociopolitical, and technological factors. This study applies an updated version of the NCPM to incorporate improved cost-benefit tests and to approximate observed sub-optimal flood risk reduction behavior. The updated NCPM is tested for two multi-county sites: Virginia Beach, VA and Tampa, FL. Sub-optimal adaptation approaches slow the implementation of adaptation measures throughout the 100-year simulation and they increase the amount of flood damages, especially early in the simulation. The net effect is an increase in total present value cost of $1.1 to $1.3 billion (2015 USD), representing about a 10% increase compared to optimal adaptation approaches. Future calibrations against historical data and incorporation of non-economic factors driving adaptation decisions could prove useful in better understanding the impacts of continued sub-optimal behavior.
国家沿海财产模型(NCPM)模拟了美国本土海岸线沿线海平面上升和风暴潮造成的洪水损失。该模型还预测了一系列适应措施的地方层面投资,其假设前提是这些措施在30年期间效益超过成本时将会被采用。然而,据观察,由于金融、心理、社会政治和技术因素,个人和社区相对于标准成本效益假设而言,往往在适应性措施上投资不足。本研究应用了NCPM的更新版本,纳入了改进的成本效益测试,并近似模拟观察到的次优洪水风险降低行为。更新后的NCPM在两个多县地区进行了测试:弗吉尼亚州的弗吉尼亚海滩和佛罗里达州的坦帕。在整个100年的模拟过程中,次优适应方法减缓了适应措施的实施,并且增加了洪水损失的数量,尤其是在模拟早期。净效应是总现值成本增加了11亿至13亿美元(2015年美元),与最优适应方法相比增加了约10%。未来根据历史数据进行校准以及纳入推动适应决策的非经济因素,可能有助于更好地理解持续次优行为的影响。