01515298

Component

This work reports the impacts of economic analysis results on sea-level rise adaptation decision making with different economic analysis methods. The methodology was applied to Hillsborough County, Florida. Based on the sea-level rise projection data, light detection and raging (LiDAR) data, parcel land use data, property data, and transportation data, the authors first report the impacts of potential sea-level rise on land use, property, transportation infrastructure in 2060. With the impact analysis results, four adaptation strategies are proposed. Four economic analysis methods considering only direct, both direct and indirect impacts, and spatial autocorrelation impact are used to evaluate the economic costs and benefits as well as the cost effectiveness of the adaptation strategies. The results show that it is better to take adaptive measures to respond to potential sea-level rise risk than doing nothing; the best adaptation strategy is shoreline protection plus transportation infrastructure accommodation; the length of the shoreline or which part of the shoreline to be protected plays the most important role in the cost effectiveness of an adaptation strategy; the inclusion of value of travel time and spatial autocorrelation is especially dominating the economic analysis results of accommodation strategy, which highlights the importance of involving indirect economic factors and spatial interdependency when making sea-level rise adaptation decisions.

This paper was sponsored by TRB committee ADD10 Transportation and Economic Development.

01503729

14-1854

English

17p

2014

Transportation Research Board 93rd Annual Meeting

Digital/other

Figures; References; Tables

Autocorrelation; Case studies; Climate change; Coasts; Decision making; Economic analysis; Economic impacts; Flood protection; Psychological adaptation; Sea level; Spatial analysis; Value of time

Hillsborough County (Florida)

Economics; Environment; Highways; Planning and Forecasting; Security and Emergencies; I10: Economics and Administration; I15: Environment; I72: Traffic and Transport Planning

Transportation Research Board Annual Meeting 2014 Paper #14-1854

TRIS, TRB, ATRI

Jan 27 2014 2:40PM