Full results and analysis code for physical and economic impact of high tide flooding on US road networks
Description
Data produced by this study include 1) shape file of the processed road segments within the floodplain for all coastal counties, 2) python code for processing the raw HPMS data into processed segments and identifying the segments within the flood plain, 3) delays and costs by county, year, sea level rise scenario, and adaptation scenario, and 4) Matlab code for road data statistics, distillation of the processed road segment dataset, and estimation of delays and costs for all scenarios. Citation information for this dataset can be found in the EDG's Metadata Reference Information section and Data.gov's References section.
Resources
| Name |
Format |
Description |
Link |
|
57 |
supplemental_materials_is.1943-555x.0000652_fant.zip |
https://pasteur.epa.gov/uploads/10.23719/1527901/supplemental_materials_is.1943-555x.0000652_fant.zip |
Tags
- high-tide-flooding
- sea-level-rise
- economic-impact
- ground-transportation