Layer: Density Transporation Infrastructure (ID: 31)

Parent Layer: Density of Critical Infrastructure

Name: Density Transporation Infrastructure

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Description: The Trust for Public Land’s Climate-Smart Cities Program is founded on the principle that to respond to climate change, cities must restore natural functions of the land by weaving green elements into the built environment. The Climate Smart Cities Program helps cities meet the challenges through the development of spatial data and decision support tools that translate the goals from a city’s strategic climate planning into priority sites for green infrastructure development. The Climate Smart Cities Program categorizes these strategies under the climate objectives of Connect, Cool, Absorb, and Protect. The rasters in the absorb geodatabase help identify features of the landscape are that particularly vulnerable to the impacts of climate change. (Highest priority areas are in red).This model assigns critical infrastructure risk based upon density of locations of key transportation infrastructure. Key transportation infrastructure includes evacuation routes, ports, and bridges, Kernel Density of key transportation infrastructure including ports and the entrance and exits of bridges was derived using 1/4 mile (equivalent to 5 minute walk) circular radius. The resulting density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5. A Kernel Density of evacuation routes was derived using 1/8 mile search radius. The resulting line density raster was broken into priority classes using slice tool and a natural breaks classification using scale of 0 to 5. The point and line priority rasters were combined using equal weights.Data interpretation:5 = Very High Priority for Green Infrastructure4 = High Priority for Green Infrastructure 3 = Medium Priority for Green Infrastructure 0-2 = Low ValueValues 3, 4, and 5 should be used when assessing highest prioritization from the model.

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Copyright Text: The Trust for Public Land, 2017

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