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Layer: Bridge Screening (5)

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Layer: Coastal Inundation Points Secondary Roads (6)

Name: Coastal Inundation Points Secondary Roads

Display Field: RouteName

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Description: Points were generated every 50 feet along coastal secondary roads. Each point was assigned a road elevation from a LiDAR-based road elevation dataset provided by NC Emergency Management. Inundation extents were identified by extracting raster cells less than or equal to the desired inundation profile from LiDAR-based high-resolution digital elevation rasters. If a road point fell within the inundation area of a given profile, the water surface elevation was subtracted from the road elevation to determine whether the road flooded and, if so, to what degree. This methodology does not factor in hydraulic connectivity to waterbodies and is not based on mathematical storm surge models. Areas of open water are not included in inundation mapping.

Copyright Text: North Carolina Department of Transportation (NCDOT)

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Spatial Reference: 102719  (2264)



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Layer: Coastal Inundation Points Primary Roads (7)

Name: Coastal Inundation Points Primary Roads

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Description: Points were generated every 50 feet along coastal primary roads. Each point was assigned a road elevation from a LiDAR-based road elevation dataset provided by NC Emergency Management. Inundation extents were identified by extracting raster cells less than or equal to the desired inundation profile from LiDAR-based high-resolution digital elevation rasters. If a road point fell within the inundation area of a given profile, the water surface elevation was subtracted from the road elevation to determine whether the road flooded and, if so, to what degree. This methodology does not factor in hydraulic connectivity to waterbodies and is not based on mathematical storm surge models. Areas of open water are not included in inundation mapping.

Copyright Text: North Carolina Department of Transportation (NCDOT)

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Layer: Coastal Inundation Points No Lidar (8)

Name: Coastal Inundation Points No Lidar

Display Field: RouteName

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Description: This dataset comprises points that do not currently have roadway elevation data available.

Copyright Text: North Carolina Department of Transportation (NCDOT)

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Layer: Hindcast Road Points All (9)

Name: Hindcast Road Points All

Display Field: RouteName

Type: Feature Layer

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Spatial Reference: 102719  (2264)



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• RouteClass ( type: esriFieldTypeString, alias: RouteClass, length: 5 )
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• Max_WaterHt_Florence ( type: esriFieldTypeDouble, alias: Max_WaterHt_Florence )
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Layer: Hindcast Road Points Risk Rating (10)

Name: Hindcast Road Points Risk Rating

Display Field: RouteName

Type: Feature Layer

Geometry Type: esriGeometryPoint

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Supported Query Formats: JSON, geoJSON, PBF

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Layer: Hindcast Road Points Isaias (12)

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Name: Hindcast Road Points Florence

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Layer: 10yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (15)

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Layer: 50yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (17)

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Layer: 100yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (18)

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Layer: 200yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (19)

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Layer: 500yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (20)

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Layer: 1,000yr Recurrence Interval - DRA 2019 2D Inundation Points (4/19/2023) (21)

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Description: This data set is a collection of polygons representing the roof line of built structures wholly or partially within the State of North Carolina political boundary. The data were collected by first contacting each of North Carolina’s one hundred (100) counties and requesting existing data in the summer of 2009. Forty nine (49) counties provided building data. Of those 49 counties, only half were considered complete datasets. The remaining structures were collected using the best available orthophotography. Buildings were collected starting at the coast and working westward. Only structures with an area greater than 1,000 sq. ft. (by visual inspection) were depicted with a polygon at the roof line. Structures that were less than 1,000 sq. ft. may have been digitized, based upon best judgment practices and those which appeared to be permanent structures. The building footprints are closed polygons with a unique identifier and have the square footage calculated. The polygons were not required to be rectilinear (i.e. interior angles = 90 degrees), but they should give an accurate representation of the building when viewed at a scale of 1:1500 in ArcGIS. Additionally, the building footprints were conflated with county parcel information (please see IP14 “Developing Building Footprint Data for Risk Assessment”).

Copyright Text: This data set was developed for the North Carolina Floodplain Mapping Program. Additional data development support was provided by ESP Associates, P.A. and AECOM.

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Layer: Robeson County Buildings (23)

Name: Robeson County Buildings

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Description: This building footprint dataset was created from the 2021 orthoimagery project and should be considered current only for 2021. The 2021 cycle of the Statewide Ortho project includes 26 Western Coastal and Eastern Piedmont counties. It was heads up digitized based on aerials and was QCed last in the summer of 2023. This dataset is a collection of polygons representing the roof line of built structures as seen on the 2021 aerials. It was created from several other sources including the 2010 statewide RISK dataset. It only includes structures that are over 800 square feet and is intended to only include primary structures that house people for living or working. Garage structures that are just over 800 square feet maybe omitted if they were clearly out buildings.

Copyright Text: NC DPS Emergency Management, DOA, Governors Youth involvement program.

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Layer: Bridges Resilience Results (24)

Name: Bridges Resilience Results

Display Field: Route_Name

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Description: A total of 848 bridges were analyzed for their vulnerability to inland flood, coastal flood, and geohazards. This data set is limited to NBI bridges on North Carolina primary roads, Only bridges exposed to at least one natural hazard are included. NBI bridge data was joined to the NCDOT structures data. The combined bridge data was intersected with flood data from NCDOT's resilience applications (https://www.ncdot-raft.info/applications.php), i.e., the Roadway Inundation Tool (RIT) 2.0 for inland flooding, and the Coastal Roadway Inundation Simulator (CRIS) for coastal flooding. In addition, each bridge was intersected with layer representing NCDOT's Geotechnical Asset Management (GAM) database. The sensitivity assessment for bridges was derived from the condition state for structures from Natural Bridge Inventory (NBI) items. For bridges with known foundation where NBI Item 113 Scour Critical is not equal to “U”, a matrix intersecting NBI Item 113 with NBI Item 60 Substructure Condition produced the sensitivity score. The final prioritization score is the sum of exposure scores for flooding and geohazards, criticality, sensitivity, whether the bridge overlaps a State Transportation Improvement Plan (STIP) project. For a complete discussion of the resilience analysis and scoring process, see Appendix C of the NCDOT 2023 RIP.

Copyright Text: Source data is (1) NCDOT structures spatial data at https://www.nconemap.gov/maps/7367c33b80f346178ea5e158ec4d5b68/explore and (2) Federal Highway Administration, National Bridge Inventory at https://www.fhwa.dot.gov/bridge/nbi.cfm

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Layer: Culverts Resilience Results (25)

Name: Culverts Resilience Results

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Description: A total of 1,385 culverts were analyzed for their vulnerability to inland flood, coastal flood, and geohazards. This data set is limited to NBI culverts on North Carolina primary roads, NBI bridge data was joined to the NCDOT structures data. The combined data was intersected with flood data from NCDOT's resilience applications (https://www.ncdot-raft.info/applications.php), i.e., the Roadway Inundation Tool (RIT) 2.0 for inland flooding, and the Coastal Roadway Inundation Simulator (CRIS) for coastal flooding. In addition, each culvert was intersected with layer representing NCDOT's Geotechnical Asset Management (GAM) database. A score for sensitivity was derived from NBI Item 62, Culvert Condition. The final prioritization score is the sum of exposure scores for flooding and geohazards, criticality, sensitivity, whether the bridge overlaps a State Transportation Improvement Plan (STIP) project. For a complete discussion of the resilience analysis and scoring process, see Appendix C of the NCDOT 2023 RIP.

Copyright Text: Credits: source data is (1) NCDOT structures spatial data at https://www.nconemap.gov/maps/7367c33b80f346178ea5e158ec4d5b68/explore and (2) Federal Highway Administration, National Bridge Inventory at https://www.fhwa.dot.gov/bridge/nbi.cfm

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Layer: Highways Resilience Results (26)

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Description: The criticality model is based on the methodology described in AECOM's report, "Criticality Assessment Technical Memorandum U.S. 70 Vulnerability and Risk Assessment", October 2022. The model is an index model comprised of three composite indices: usage and operations index, socioeconomic index, and health and safety index. The three composite indices are added and weighted to compute an overall criticality score. The criticality level, low, moderate or high, is determined by binning the criticality score according to a 50%-25%-25% split (50th percentile or lower assigned to low, 75th percentile to 50th percentile, moderate and above 75th percentile to "high'). In addition, all segments that are part of an interstate or a hurricane evacuation route are assigned a criticality level of "High".

Copyright Text: NCDOT, ESRI, Department of Homeland Security, U.S. Census

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Layer: Rail Resilience Results (27)

Name: Rail Resilience Results

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Description: Freight gauge and passenger rail track were evaluated for their vulnerability to inland flood, coastal flood, and geohazards. Only segments exposed to at least one natural hazard are included. The original source for this feature class is the NCDOT Rail Division geodatabase (https://connect.ncdot.gov/resources/gis/pages/gis-data-layers.aspx) This data set was intersected with flood data from the STC Rail Lines Flood Potential data set for inland flooding, and the Coastal Roadway Inundation Simulator (CRIS) for coastal flooding. In addition, each rail track segment was intersected with a layer representing NCDOT's Geotechnical Asset Management (GAM) database. Condition state data for rail track is protected information. Therefore, a default value was assigned to all segments for the sensitivity score. The final prioritization score is the sum of exposure scores for flooding and geohazards, criticality, sensitivity, whether the segment overlaps a State Transportation Improvement Plan (STIP) project. For a complete discussion of the resilience analysis and scoring process, see Appendix C of the NCDOT 2023 RIP.

Copyright Text: North Carolina Department of Transportation Rail Division, Moffatt & Nichol Engineers, WGI

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Layer: Commercial Airport (28)

Name: Commercial Airport

Display Field: NAME

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Description: Polygons representing runways for commercial airports in North Carolina. Proximity to commercial airports is included as a factor in the socioeconomic index, a component of NCDOT's criticality model.

Copyright Text: Federal Aviation Administration (FAA), National Transportation Atlas; Esri: https://services.arcgis.com/P3ePLMYs2RVChkJx/arcgis/rest/services/USA_Airports_by_scale/FeatureServer/1

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Layer: Criticality (29)

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Description: The criticality model is based on the methodology described in AECOM's report, "Criticality Assessment Technical Memorandum U.S. 70 Vulnerability and Risk Assessment", October 2022. The model is an index model comprised of three composite indices: usage and operations index, socioeconomic index, and health and safety index. The three composite indices are added and weighted to compute an overall criticality score. The criticality level, low, moderate or high, is determined by binning the criticality score according to a 50%-25%-25% split (50th percentile or lower assigned to low, 75th percentile to 50th percentile, moderate and above 75th percentile to "high'). In addition, all segments that are part of an interstate or a hurricane evacuation route are assigned a criticality level of "High".

Copyright Text: NCDOT, ESRI, Department of Homeland Security, U.S. Census

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Layer: CSX Intermodal Terminal (30)

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Copyright Text: Gannett Fleming

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Layer: Emergency Shelter (32)

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Description: Point locations of potential emergency shelters. Proximity to shelters is a factor in the health and safety index, a component of the NCDOT criticality model.

Copyright Text: DHS HIFLD: https://services1.arcgis.com/XBhYkoXKJCRHbe7M/arcgis/rest/services/Potential_Emergency_Shelters_cmj64/FeatureServer/0

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Layer: Employment 10 mile radius (33)

Name: Employment 10 mile radius

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Description: Centroids of primary road segments within the statewide criticality layer were buffered to a 10-mile radius. The buffers were used to summarize the total number of jobs associated with census blocks contained within the buffers. The number of jobs within a 10-mile radius is one of the socioeconomic factors included in the statewide criticality model.

Copyright Text: US Census, Gannett Fleming

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Layer: Employment Density (34)

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Description: The original data measures employment density measured in terms of number of jobs per acre. The NCDOT criticality model uses number of jobs within 10-miles of a roadway segment as a factor in the socioeconomic index, a component of the NCDOT criticality model. https://services.arcgis.com/cJ9YHowT8TU7DUyn/arcgis/rest/services/Employment_density_jobs_ac/FeatureServer/0

Copyright Text: US Census (Longitudinal Employer-Household Dynamics data)

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Layer: Evacuation Routes (35)

Name: Evacuation Routes

Display Field: RouteName

Type: Feature Layer

Geometry Type: esriGeometryPolyline

Description: This dataset represents the locations of hurricane evacuation routes. A hurricane evacuation route is a designated route used to direct traffic inland in case of a hurricane threat.

Copyright Text: Spatial Data Management Group - Product creation; Data Conversion Group – System geometry, mileage, events; Local County Government – Non-system geometry

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Layer: Global Transpark (36)

Name: Global Transpark

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Description: The North Carolina Global TransPark is a 2,500 acre, multi-modal industrial/airport site in Eastern North Carolina. As an agency of the State of North Carolina, the GTP is considered a key engine for driving the economy of Eastern North Carolina. Proximity to the GTP is a factor of the socioeconomic index which, in turn, is a component of the NCDOT criticality model.

Copyright Text: NCDOT: https://services.arcgis.com/NuWFvHYDMVmmxMeM/arcgis/rest/services/NCDOT_KBPBaseLayers/FeatureServer/6

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Layer: Hospital (37)

Name: Hospital

Display Field: NAME

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Description: This point feature class contains Hospitals derived from various sources (refer SOURCE field) for the Homeland Infrastructure Foundation-Level Data (HIFLD) database. https://gii.dhs.gov/HIFLD ‎Feature layer by host by HIFL. Proximity to hospitals is a factor in the health and safety index, a component of the NCDOT criticality model. Each road segment is evaluated for the number of hospitals within a 5-mile radius.

Copyright Text: DHS HIFLD: https://services2.arcgis.com/FiaPA4ga0iQKduv3/arcgis/rest/services/Structures_Medical_Emergency_Response_v1/FeatureServer/0

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Layer: Maritime Ports (38)

Name: Maritime Ports

Display Field: COMMENTS

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Description: This dataset represents the boundaries of riverine and maritime ports in North Carolina. Data provided by North Carolina Department of Commerce. Last updated on February 26, 2020. Proximity to ports is included as a factor in the socioeconomic index, a component of the NCDOT criticality model.

Copyright Text: North Carolina Department of Commerce: https://services7.arcgis.com/hNsZMFTeHtJMGkqv/arcgis/rest/services/NCPorts_Service_Business_Dev_View/FeatureServer/5

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Layer: Military Base (39)

Name: Military Base

Display Field: Name

Type: Feature Layer

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Description: This geospatial dataset contains the authoritative point locations and (where available) boundaries of Department of Defense sites, commonly referred to as installations, ranges, training areas, bases, forts, camps, armories, centers, etc., limited to the extent of North Carolina.

Copyright Text: USGS, The National Map: https://carto.nationalmap.gov/arcgis/rest/services/govunits/MapServer/37

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Layer: Military Ports CSX (40)

Name: Military Ports CSX

Display Field: Name

Type: Feature Layer

Geometry Type: esriGeometryPolygon

Description: This polygon representation of transportation hubs within North Carolina serves as an input to one of the four socioeconomic indices that support the statewide criticality model. Roadway segments are evaluated for how many such facilities exist within a 10-mile radius of the segment.

Copyright Text: NCDOT, USGS, FHAA, NC Ports Business Development

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Layer: Tourism Revenue (41)

Name: Tourism Revenue

Display Field: NAME

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Description: To quantify the level of visitor activity in North Carolina, Tourism Economics calibrated the historical TEIM model to align with the official Tourism Satellite Account while maintaining consistency with historical growth rates. The Visitor Activity Model combines a number of data sources that look at tourism from different angles to understand visitor economic contributions in North Carolina. The data provides insights from the visitor, local industry, and government perspectives to pinpoint the scope of the travel sector in terms of direct visitor spending, as well as the direct economic impacts, jobs, and fiscal (tax) impacts in the broader economy.

Copyright Text: Economic Development Partnership of North Carolina: https://partners.visitnc.com/economic-impact-studies

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Description: The North Carolina Department of Transportation (NCDOT) has developed Environmental Justice (EJ) and Transportation Disadvantage Index (TDI) maps and interactive dashboards to help NCDOT staff and external partners understand and visualize transportation disadvantage and the disproportionate impact of transportation barriers on communities of color, as well as help inform policies, planning, and project development decision making.

Copyright Text: NCDOT: https://ncdot.maps.arcgis.com/home/item.html?id=a675d03984744fe498a3f30a2c2e8200

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Layer: RIT Road Points (48)

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Description: Points were generated every 50 feet along primary and secondary roads. Each point was assigned a road elevation from a LiDAR-based road elevation dataset provided by NC Emergency Management. If a road point fell within the greatest floodplain extent (100-yr or 500-yr), the water surface elevation was subtracted from the road elevation to determine whether the road flooded and, if so, to what degree. Bridges, overpasses, and areas of open water are not included in this dataset. Roads that were analyzed but did not have inundation impacts are not included in this dataset. Analysis is based on NCDOT's 2021 Q2 road network and 2014-2018 LiDAR.

Copyright Text: North Carolina Department of Transportation (NCDOT), North Carolina Emergency Management (NCEM)

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Copyright Text: North Carolina Department of Transportation (NCDOT), North Carolina Emergency Management (NCEM)

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