20211007
15322400
1.0
FALSE
HVI_mhhw_2020_10_PercentAnnualChance_v2_1
1358403.946594
1491428.853772
381596.538568
572146.847100
1
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Foot_US (0.304801)
NAD_1983_HARN_StatePlane_Maryland_FIPS_1900_Feet
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20230727
10331100
20230727
10331100
150000000
5000
ISO19139
Michel Sheffer, GISP, CFM
Maryland State Highway Administration
GIS Coordinator / Assistant Division Chief
707 N. Calvert St.
Batlimore
Maryland
21202
msheffer@sha.state.md.us
US
410-545-5537
Michel Sheffer, GISP, CFM
Michel Sheffer, GISP, CFM
none
Enterprise Geodatabase Feature Class
Michel Sheffer, GISP, CFM
Maryland State Highway Administration
GIS Coordinator / Assistant Division Chief
707 N. Calvert St.
Batlimore
Maryland
21202
msheffer@sha.state.md.us
US
410-545-5537
Michel Sheffer, GISP, CFM
Michel Sheffer, GISP, CFM
Michel Sheffer, GISP, CFM
The dataset uses projected stillwater elevations and road characteristics to forecast hazard exposure during a flood scenario. The Hazard Vulnerability Index (HVI) is an attempt to aid in identifying potential vulnerabilities within the State's roadway infrastructure.
RE SHA CENTERLINES:
Functional classification is the process by which public streets and highways are grouped into classes according to the character of service they are intended to provide. Generally, highways fall into one of four broad categories, principal arterials, minor arterials, collector roads, and local roads. Arterials provide the highest level of service at the greatest speed for the longest uninterrupted distance, with some degree of access control. Collector roads provide a less highly developed level of service at a lower speed for shorter distances by collecting traffic from local roads and connecting them with arterials. Local roads consists of all roads not defined as arterials or collectors; primarily provides access to land with little or no through movement.
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The layer supports Maryland State Highway </SPAN><SPAN><SPAN>Administration </SPAN></SPAN><SPAN>(SHA) leadership and planners as they endeavor to mitigate or prevent the impacts of sea level change resulting from land surface subsidence and rising sea levels. This HVI uses weighted roadway characteristics - evacuation route and functional class - to standardize the impending hazard - projected sea-level rise - along segments of Maryland State Highway </SPAN><SPAN><SPAN>Administration </SPAN></SPAN><SPAN>(SHA) centerlines for a particular scenario. </SPAN></P><P><SPAN>Methodology:</SPAN></P><P><SPAN><SPAN>US Army Corps of Engineers (USACE) provide the sea level change (SLC) estimate-1. SLC is localized using water elevations collected from a qualifying-2 National Oceanic and Atmospheric Administration (NOAA) tidal reference station - NOAA observations are transformed from tidal datum to North American Vertical Datum of 1988 (NAVD88). A final correction for glacial isostatic adjustment and land subsidence is applied to create an SLC value for the official project year, 2020.</SPAN></SPAN></P><P><SPAN>Year ;Tide: SLC Value; Tide: SLC Value</SPAN></P><P><SPAN><SPAN>2020; MSL: 0.00; MHHW: 0.67</SPAN></SPAN></P><P><SPAN><SPAN>2050; MSL: 1.28; MHHW: 1.95</SPAN></SPAN></P><P><SPAN>2100; MSL: 4.91; MHHW: 5.58</SPAN></P><P /><P><SPAN><SPAN>The best available LiDAR, at time of creation, contributes to a county-wide Digital Elevation Model (DEM). The LiDAR-derived DEM is the base from which the SLC value is applied.</SPAN></SPAN></P><P><SPAN>The SLC adjusted DEM serves as elevation data for a Level 1 Coastal Only HAZUS-MH (FEMA) Flood analysis. The shoreline of the county level study is limited to Deal Island Neck. Breakpoints segment the shorline to capture flooding sources, locations, and heights outlined in the FEMA Flood Insurance Study for Anne Arundel County, Maryland - #24003CV000B; Effective: February 18, 2015.</SPAN></P><P STYLE="margin:1 1 1 0;"><SPAN>Flooding Source; Location; Annual Chance Event: Eleveation (ft) NAVD88</SPAN></P><P><SPAN>Chesapeake Bay; Patapsco River; 10%: 4.05, 4%: *, 2%: 4.6, 1%: 4.9, 0.2%: 6.35</SPAN></P><P><SPAN>Chesapeake Bay; Severn Run; 10%: 3.7, 4%: *, 2%: 4.3, 1%: 4.5, 0.2%: 5.95</SPAN></P><P /><P><SPAN>Classified stillwater elevations:</SPAN></P><P><SPAN><SPAN>0 = less than or equal to one-tenth of a foot (<= 0.10')</SPAN></SPAN></P><P><SPAN><SPAN>1 = greater than one-tenth foot and less than or equal to a half foot (> 0.10' and <= 0.5')</SPAN></SPAN></P><P><SPAN><SPAN>2 = greater than a half foot and less than or equal to one foot (> 0.5' and <= 1')</SPAN></SPAN></P><P><SPAN><SPAN>3 = greater than one foot and less than or equal to two foot (> 1' and <= 2')</SPAN></SPAN></P><P><SPAN><SPAN>4 = greater than two foot (> 2')</SPAN></SPAN></P><P><SPAN /></P><P><SPAN>Hazard Vulnerability Index (HVI):</SPAN></P><P><SPAN>RISK = (Evacuation Route * 0.5 + 1.0) * ((classified stillwater elevation + .01) / 4.0) * (1.0 / Functional Class) * 0.70</SPAN></P><P><SPAN /></P><P><SPAN><SPAN>Hazard Vulnerability Index Classification (HVI Class):</SPAN></SPAN></P><P><SPAN>1 = RISK <= 0.003</SPAN></P><P><SPAN>2 = RISK > 0.003 and RISK <= 0.15</SPAN></P><P><SPAN>3 = RISK > 0.15 and RISK <= 0.264</SPAN></P><P><SPAN>4 = RISK > 0.264</SPAN></P><P><SPAN /></P><P><SPAN>-1 The SLC rate used in this study was calculated using the USACE High Curve. See </SPAN><A href="http://www.corpsclimate.us/ccaceslcurves.cfm"><SPAN><SPAN>http://www.corpsclimate.us/ccaceslcurves.cfm</SPAN></SPAN></A><SPAN><SPAN>for more detail.</SPAN></SPAN></P><P><SPAN><SPAN>-2 Closest station with historic records of 40 years or greater. An average or qualifying stations was chosen when the nearest station’s records were insufficient. </SPAN></SPAN></P><P><SPAN><SPAN>* - Four percent annual chance is interpolated value</SPAN></SPAN></P><P><SPAN /></P><P><SPAN>RE SHA CENTERLINES:</SPAN></P><P><SPAN>The 2021 Functional Class linear file was created with the process of dynamic segmentation, using SHA's Routes and HPMS linear event table that contain ROUTEID, beginning and ending mile point fields and the Functional Classification field, "FUNCTIONAL_CLASS".</SPAN></P><P><SPAN>Revised HPMS Functional Classification Codes:</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>1 = Interstate</SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>2 = Other Freeways and Expressways </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>3 = Other Principal Arterial </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>4 = Minor Arterial </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>5 = Major Collector </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>6 = Minor Collector </SPAN></P><P STYLE="margin:0 0 0 0;"><SPAN>7 = Local </SPAN></P></DIV></DIV></DIV>
Maryland
MD
Anne Arundel
County
Weather
Climate
Change
Rise
Inundation
Stillwater
Depth
Centerline
Hazard
Vulnerability
Index
HVI
HPMS
Roads
Highways
Routes
Functional Classification
State Highway Administration
SHA
Eastern Shore Regional GIS Cooperative
ESRGC
<DIV STYLE="text-align:Left;"><DIV><DIV><P><SPAN>The data may be used and redistributed for free but is not intended for legal use, since it likely contains inaccuracies. The User assumes the entire risk associated with its use of these data and bears all responsibility in determining whether these data are fit for the User's intended use. The information contained in these data is dynamic and will change over time. The data are not better than the original sources from which they were derived, and both scale and accuracy may vary across the data set. These data may not have the accuracy, resolution, completeness, timeliness, or other characteristics appropriate for applications that potential users of the data may contemplate. The User is encouraged to carefully consider the content of the metadata file associated with these data. These data are neither legal documents nor land surveys, and must not be used as such. Maryland State Highway Administrationand the Eastern Shore Regional GIS Cooperative should be cited as the data source in any products derived from these data. Any Users wishing to modify the data should describe the types of modifications they have performed. The User should not misrepresent the data, nor imply that changes made were approved or endorsed by Maryland State Highway Administration and/or the Eastern Shore Regional GIS Cooperative. Neither the Maryland State Highway Administration, Eastern Shore Regional GIS Cooperative, nor the State of Maryland, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information.</SPAN></P><P><SPAN>RE SHA CENTERLINES:</SPAN></P><P><SPAN>The State Highway Administration makes no warranty, expressed or implied, as to the use or appropriateness of Spatial Data, and there are no warranties of merchantability or fitness for a particular purpose or use. The information contained in Spatial Data is from publicly available sources, but no representation is made as to the accuracy or completeness of Spatial Data. The State Highway Administration shall not be subject to liability for human error, error due to software conversion, defect, or failure of machines, or any material used in the connection with the machines, including tapes, disks, CD-ROM's or DVD-ROM's and energy. The State Highway Administration shall not be liable for any lost profits, consequential damages, or claims against the State Highway Administration by third parties.</SPAN></P></DIV></DIV></DIV>
Maryland State Highway Administration (MDSHA), Eastern Shore Regional GIS Cooperative (ESRGC), National Oceanic and Atmospheric Administration (NOAA), United States Army Corps of Engineers (USACE), United States Geoglogical Survey (USGS),FHWA, Maryland counties and Metropolitan Planning Organizations
Anne Arundel Roads Hazard Vulnerability Index 2020 Mean Higher High Water With 10 Percent Annual Chance Flood
2022-06-01T00:00:00
2022-06-30T00:00:00
2.0
Eastern Shore Regional GIS Cooperative (ESRGC)
1101 Camden Ave.
Salisbury
Maryland
21801
esrgc@salisbury.edu
US
410-546-2877
Eastern Shore Regional GIS Cooperative (ESRGC)
Michel Sheffer, GISP, CFM
Maryland State Highway Administration
GIS Coordinator / Assistant Division Chief
707 N. Calvert St.
Batlimore
Maryland
21202
msheffer@sha.state.md.us
US
410-545-5537
Michel Sheffer, GISP, CFM
Michel Sheffer, GISP, CFM
HVI_mhhw_2020_10_PercentAnnualChance_v2_1
The dataset is a snapshot in time and based on 2020 observations.
2020-01-01T00:00:00
0.000100
0.000100
Transportation, Streets, Centerlines, Coastal Inundation, Inundation Layer
Maryland
Anne Arundel County
Michel Sheffer, GISP, CFM
Maryland State Highway Administration
GIS Coordinator / Assistant Division Chief
707 N. Calvert St.
Batlimore
Maryland
21202
msheffer@sha.state.md.us
US
410-545-5537
Michel Sheffer, GISP, CFM
Michel Sheffer, GISP, CFM
Esri ArcGIS 13.1.2.41833
1
-76.838537
-76.367711
39.237557
38.712785
Dataset is the derived from Maryland State Highway Administration 2021 Centerline file with Functional Class, LiDAR elevations, and projected flood heights.
Elevation Data (LiDAR):
2020 Anne Arundel County LiDAR; point spacing = 0.35m; vertical accuracy = 18cm RMSE.
Street Centerlines:
Maryland State Highway Administration (2021)
Base elevations:
LiDAR values processed to Digital Elevation Model (DEM) - LAS files to Mass Point (MP) feature class; MP converted to Triangulated Irregular Network (TIN). TIN to DEM as ESRI GRID. Multiple collections mosaicked to single GRID - preserving best available datum and best resolution among all collections.
2022-06-01T01:00:00
RESAMPLE CELLS:
For GRID...
Upsample horizontal resolution to two meters.
Maintain level of horizontal integrity while improving raster processing.
2022-06-01T02:00:00
Adjust DEM in accordance to sea-level change estimate:
DEM minus SLC value.
Localized SLC:
NOAA tidal reference station contributes elevation readings
(Station ID: 8575512).
Station elevations are calibrated to land-based elevations representing the NAVD88
(Vertical Correction MSL to NAVD88 = -0.05).
A 0.01089 feet/yr correction for glacial isostatic adjustment and land subsidence brings USACE observations (1992) to 2020
(Project Year = 0.30492).
NOAA's Regional Rate: 0.01089 feet/yr
Account for variation between MSL and MHHW
(Tide = 0.67).
USACE sea level change estimate:
Year; Tide: SLC; Tide: SLC
2020; MSL: 0.00; MHHW: 0.67
2050; MSL: 1.28; MHHW: 1.95
2100; MSL: 4.91; MHHW: 5.58
MSL SLC = (VC + PY + USACE)
MHHW SLC = (VC + PY + USACE + T)
GRID represents forecast scenario Applying SLC Value simulates anticipated sea-level change.
2022-06-01T03:00:00
FILL SINKS:
For GRID...
Multiple by 1000 reclassify values ([LESS THAN ZERO = 0; ELSE: VALUE = VALUE]) cast datatype(int) to float divide by 1000
Fill sinks. Multiple GRID by 1000 to preserve decimal place. Set negative values to 0. Cast GRID to float; previous tool outputs integer datatype and subsequent tool requires float. Divide GRID by 1000 returns values to observation level.
2022-06-01T04:00:00
SLC adjusted DEM serves as elevation dataset for a Level 1 Coastal Only HAZUS-MH (FEMA) Flood analysis. The countywide study's shoreline is restricted to that of the Deal Island Neck. Breakpoints segment the shorline to capture flooding sources, locations, and heights outlined in the county's FEMA Flood Insurance Study.
Flooding Source; Location; Annual Chance Event: Eleveation (ft) NAVD88
Chesapeake Bay; Patapsco River; 10%: 4.05, 4%: *, 2%: 4.6, 1%: 4.9, 0.2%: 6.35
Chesapeake Bay; Severn Run; 10%: 3.7, 4%: *, 2%: 4.3, 1%: 4.5, 0.2%: 5.95
simulate anticipated flooding
2022-06-01T05:00:00
GET AREA VULNERABLE TO SLC:
For GRID...
Reclassify values ([LESS THAN EQUAL TO SLC Value = 1; ELSE: VALUE = "NODATA"]) convert raster output to vector create feature from vector polygons intersect Chesapeake Bay connected flowlines. BAY CONNECTED FLOWLINES: build Network Dataset from (Select Flowlines from National Hydrography Dataset(high-resolution) where inersect County border) select features from National Hydrography Dataset(high-resolution) - NHD Area and NHD Waterbody - comprising County's physical boundary; select junctions from Network Dataset where intersect physical boundary features; load select junctions as locations and solve service area analysis where impedance is 30,000, polygon not generated, lines on but not overlapping. solution is 'Chesapeake Bay connected flowlines'.
Set values greater than SLC Value to "NODATA" isolates threatened elevations. Raster to vector supports spatial selection. Selecting from polygons - potentially threatened elevations - where intersect Bay connected flowlines returns vulnerable elevations susceptible to sea-level change.
2022-06-01T06:00:00
CREATE DEPTH FOR AREA VULNERABLE TO SLC:
For GRID...
Extract values where mask is feature - polygons intersect Chesapeake Bay connected flowlines For extracted area... subtract SLC Value multiple by negative one(-1)
Get elevations within impacted area. Subtracting the SLC Value from elevations serves as anticipated stillwater depth. Multiplying dataset by -1 sets values positive.
2022-06-01T07:00:00
RECLASSIFY STILLWATER ELEVATIONS:
For Depth GRID...
Reclassify values with ranges: [<0' to 0.10' = 0, >0.10' to 0.5' = 1, >0.5 to 1' = 2, 1' to 2' = 3, >2' = 4]
range classified depths
2022-06-01T08:00:00
CONVERT TO RASTER:
For Reclassifed Depth GRID...
Raster to Polygon conversion
get vector grid for overlay analysis
2022-06-01T09:00:00
IDENTITY ANALYSIS:
For Raster to Polygon conversion and Centerline file...
Overlay features and return classified depth score on road segments
overlay analysis to set inundation levels on roadway surface
2022-06-01T10:00:00
IDENTIFY ELEVATED SURFACES AND UPDATE GRIDCODE:
For Identity Analysis output...
with RAW DEM as base layer... split segments where overlay hydro-enforced LiDAR values and set 'bridge = 1'
select where bridge = 1... new feature'bridge'. switch selection... new feature 'notBridge'
dissolve 'bridge' on FID (multi-feature line possible as IDENTITY ANALYSIS breaks feature on classified depth range)
SPATIAL JOIN (select from 'notBridge' where INTERSECT 'bridge') and 'bridge with field mapping set to return MAX gridcode from 'notBridge' selection
join Spatially Joined features to IDENTITY ANALYSIS output... calculate IDENTITY ANALYSIS [GRIDCODE] = SPATIAL JOIN [GRIDCODE_MAX]
DROP JOIN
workaround for hydro enforced LiDAR collection. Identify areas where LiDAR 'burned in' and break road features on either end of hydro-enforcement and set elevated roadways.
identify ramps to/from 'elevated roadway'. Recalculate GRIDCODE of 'elevated roadway' equal to MAX GRIDCODE of adjacent to/from ramps.
2022-06-01T11:00:00
CALCULATE HVI:
For Updated Identity Analysis...
field calcluate RISK = "(!evac!*.5+1.0)*((!GridCode!+.01)/4.0)*(1.0/!Func_cl!)*.70"
standardized hazard value for all segments with consideration given to projected inundation and weighted street characteristics.
2022-06-01T12:00:00
SHAPE
Shape
Geometry
8
0
0
Feature geometry.
ESRI
Coordinates defining the features.
HVI_mhhw_2020_10_PercentAnnualChance_v2_1
Feature Class
0
OBJECTID
OBJECTID
OID
4
10
0
Internal feature number.
Esri
Sequential unique whole numbers that are automatically generated.
FID_anneArundel
FID_anneArundel
Integer
4
10
0
ROUTEID
ROUTEID
String
1073741822
0
0
The Routeid or designation for the route as assigned by the HISD
Highway Management Information System (HMIS)
FACILITY_TYPE
FACILITY_TYPE
Integer
4
10
0
ACCESS_CONTROL
ACCESS_CONTROL
Integer
4
10
0
OWNERSHIP
OWNERSHIP
Integer
4
10
0
NHS
NHS
Integer
4
10
0
SPECIAL_SYSTEM
SPECIAL_SYSTEM
Integer
4
10
0
DES_TRUCK_ROUTE
DES_TRUCK_ROUTE
Integer
4
10
0
MAIN_LINE
MAIN_LINE
Integer
4
10
0
ROAD_NAME
ROAD_NAME
String
1073741822
0
0
FUNCTIONAL_CLASS
FUNCTIONAL_CLASS
Integer
4
10
0
OPEN_TO_TRAFFIC
OPEN_TO_TRAFFIC
Integer
4
10
0
RURAL_URBAN
RURAL_URBAN
Integer
4
10
0
TOLL_TYPE
TOLL_TYPE
String
1073741822
0
0
TOLL_CHARG
TOLL_CHARG
String
1073741822
0
0
ROUTE_DIRECTION
ROUTE_DIRECTION
String
1073741822
0
0
STATE_SEQ
STATE_SEQ
Integer
4
10
0
STATE_ROUTE
STATE_ROUTE
String
1073741822
0
0
ROUTE_ID
ROUTE_ID
String
1073741822
0
0
COUNTY
COUNTY
String
2
0
0
1
Allegany
Highway Management Information System
2
Anne Arundel
Highway Management Information System
3
Baltimore
Highway Management Information System
4
Calvert
Highway Management Information System
5
Caroline
Highway Management Information System
6
Carroll
Highway Management Information System
7
Cecil
Highway Management Information System
8
Charles
Highway Management Information System
9
Dorchester
Highway Management Information System
10
Frederick
Highway Management Information System
11
Garrett
Highway Management Information System
12
Harford
Highway Management Information System
13
Howard
Highway Management Information System
14
Kent
Highway Management Information System
15
Montgomery
Highway Management Information System
16
Prince George's
Highway Management Information System
17
Queen Anne's
Highway Management Information System
18
St Mary's
Highway Management Information System
19
Somerset
Highway Management Information System
20
Talbot
Highway Management Information System
21
Washington
Highway Management Information System
22
Wicomico
Highway Management Information System
23
Worcester
Highway Management Information System
24
Baltimore City
Highway Management Information System
MD county where road is located
Highway Management Information System
MUN_SORT
MUN_SORT
String
3
0
0
0
None
Highway Management Information System (HMIS)
1
Aberdeen
Highway Management Information System (HMIS)
2
Accident
Highway Management Information System (HMIS)
3
ANNAPOLIS
Highway Management Information System (HMIS)
4
BARCLAY
Highway Management Information System (HMIS)
5
BARNESVILLE
Highway Management Information System (HMIS)
6
BARTON
Highway Management Information System (HMIS)
7
BEL AIR
Highway Management Information System (HMIS)
8
BERLIN
Highway Management Information System (HMIS)
9
BERWYN HEIGHTS
Highway Management Information System (HMIS)
10
BETTERTON
Highway Management Information System (HMIS)
11
BLADENSBURG
Highway Management Information System (HMIS)
12
BOONSBORO
Highway Management Information System (HMIS)
13
BOWIE
Highway Management Information System (HMIS)
14
BRENTWOOD
Highway Management Information System (HMIS)
15
BROOKEVILLE
Highway Management Information System (HMIS)
16
BROOKVIEW
Highway Management Information System (HMIS)
17
BRUNSWICK
Highway Management Information System (HMIS)
18
BURKITTSVILLE
Highway Management Information System (HMIS)
19
CAMBRIDGE
Highway Management Information System (HMIS)
20
CAPITOL HEIGHTS
Highway Management Information System (HMIS)
21
NEW CARROLLTON
Highway Management Information System (HMIS)
23
CENTREVILLE
Highway Management Information System (HMIS)
24
CHARLESTOWN
Highway Management Information System (HMIS)
25
CHESAPEAKE BEACH
Highway Management Information System (HMIS)
26
CHESAPEAKE CITY
Highway Management Information System (HMIS)
27
CHESTERTOWN
Highway Management Information System (HMIS)
28
CHEVERLY
Highway Management Information System (HMIS)
29
CHEVY CHASE #3
Highway Management Information System (HMIS)
30
TOWN OF CHEVY CHASE
Highway Management Information System (HMIS)
31
CHEVY CHASE #5
Highway Management Information System (HMIS)
32
CHEVY CHASE VIEW
Highway Management Information System (HMIS)
33
CHEVY CHASE VILLAGE
Highway Management Information System (HMIS)
34
CHURCH CREEK
Highway Management Information System (HMIS)
35
CHURCH HILL
Highway Management Information System (HMIS)
36
CLEAR SPRING
Highway Management Information System (HMIS)
37
COLLEGE PARK
Highway Management Information System (HMIS)
38
COLMAR MANOR
Highway Management Information System (HMIS)
39
COTTAGE CITY
Highway Management Information System (HMIS)
40
CRISFIELD
Highway Management Information System (HMIS)
41
CUMBERLAND
Highway Management Information System (HMIS)
42
DEER PARK
Highway Management Information System (HMIS)
43
DELMAR
Highway Management Information System (HMIS)
44
DENTON
Highway Management Information System (HMIS)
45
DISTRICT HEIGHTS
Highway Management Information System (HMIS)
46
DRUMMOND
Highway Management Information System (HMIS)
47
EAGLE HARBOR
Highway Management Information System (HMIS)
48
EAST NEW MARKET
Highway Management Information System (HMIS)
48
EASTON
Highway Management Information System (HMIS)
49
EASTON
Highway Management Information System (HMIS)
50
EDMONSTON
Highway Management Information System (HMIS)
51
ELDORADO
Highway Management Information System (HMIS)
52
ELKTON
Highway Management Information System (HMIS)
53
EMMITSBURG
Highway Management Information System (HMIS)
54
FAIRMOUNT HEIGHTS
Highway Management Information System (HMIS)
55
FEDERALSBURG
Highway Management Information System (HMIS)
56
FOREST HEIGHTS
Highway Management Information System (HMIS)
57
FREDERICK
Highway Management Information System (HMIS)
58
FRIENDSHIP HEIGHTS
Highway Management Information System (HMIS)
59
FRIENDSVILLE
Highway Management Information System (HMIS)
60
FROSTBURG
Highway Management Information System (HMIS)
61
FRUITLAND
Highway Management Information System (HMIS)
62
FUNKSTOWN
Highway Management Information System (HMIS)
63
GAITHERSBURG
Highway Management Information System (HMIS)
64
GALENA
Highway Management Information System (HMIS)
65
GALESTOWN
Highway Management Information System (HMIS)
66
GARRETT PARK
Highway Management Information System (HMIS)
67
GLENARDEN
Highway Management Information System (HMIS)
68
GLEN ECHO
Highway Management Information System (HMIS)
69
GOLDSBORO
Highway Management Information System (HMIS)
70
GRANTSVILLE
Highway Management Information System (HMIS)
71
GREENBELT
Highway Management Information System (HMIS)
72
GREENSBORO
Highway Management Information System (HMIS)
73
HAGERSTOWN
Highway Management Information System (HMIS)
74
HAMPSTEAD
Highway Management Information System (HMIS)
75
HANCOCK
Highway Management Information System (HMIS)
76
HAVRE DE GRACE
Highway Management Information System (HMIS)
77
HEBRON
Highway Management Information System (HMIS)
78
HENDERSON
Highway Management Information System (HMIS)
79
HIGHLAND BEACH
Highway Management Information System (HMIS)
80
HILLSBORO
Highway Management Information System (HMIS)
81
HURLOCK
Highway Management Information System (HMIS)
82
HYATTSVILLE
Highway Management Information System (HMIS)
83
INDIAN HEAD
Highway Management Information System (HMIS)
84
KEEDYSVILLE
Highway Management Information System (HMIS)
85
KENSINGTON
Highway Management Information System (HMIS)
86
KITZMILLER
Highway Management Information System (HMIS)
87
LANDOVER HILLS
Highway Management Information System (HMIS)
88
LA PLATA
Highway Management Information System (HMIS)
89
LAUREL
Highway Management Information System (HMIS)
90
LAYTONSVILLE
Highway Management Information System (HMIS)
91
LEONARDTOWN
Highway Management Information System (HMIS)
92
LOCH LYNN HEIGHTS
Highway Management Information System (HMIS)
93
LONACONING
Highway Management Information System (HMIS)
94
LUKE
Highway Management Information System (HMIS)
95
MANCHESTER
Highway Management Information System (HMIS)
96
MARDELA SPRINGS
v
97
MANCHESTER
Highway Management Information System (HMIS)
98
MARYDEL
Highway Management Information System (HMIS)
99
MIDDLETOWN
Highway Management Information System (HMIS)
100
MIDLAND
Highway Management Information System (HMIS)
101
MILLINGTON
Highway Management Information System (HMIS)
102
MORNINGSIDE
Highway Management Information System (HMIS)
103
MOUNT AIRY
Highway Management Information System (HMIS)
104
MOUNT RAINIER
Highway Management Information System (HMIS)
105
MOUNTAIN LAKE PARK
Highway Management Information System (HMIS)
106
MYERSVILLE
Highway Management Information System (HMIS)
107
NEW MARKET
Highway Management Information System (HMIS)
108
NEW WINDSOR
Highway Management Information System (HMIS)
109
NORTH BEACH
Highway Management Information System (HMIS)
110
NORTH BRENTWOOD
Highway Management Information System (HMIS)
111
NORTH CHEVY CHASE
Highway Management Information System (HMIS)
112
NORTH EAST
Highway Management Information System (HMIS)
113
OAKLAND
Highway Management Information System (HMIS)
114
OAKMONT
Highway Management Information System (HMIS)
115
OCEAN CITY
Highway Management Information System (HMIS)
116
OXFORD
Highway Management Information System (HMIS)
117
PERRYVILLE
Highway Management Information System (HMIS)
118
PITTSVILLE
Highway Management Information System (HMIS)
119
POCOMOKE CITY
Highway Management Information System (HMIS)
120
POOLESVILLE
Highway Management Information System (HMIS)
121
PORT DEPOSIT
Highway Management Information System (HMIS)
122
PRESTON
Highway Management Information System (HMIS)
123
PRINCESS ANNE
Highway Management Information System (HMIS)
124
QUEEN ANNE
Highway Management Information System (HMIS)
125
QUEENSTOWN
Highway Management Information System (HMIS)
126
RIDGELY
Highway Management Information System (HMIS)
127
RISING SUN
Highway Management Information System (HMIS)
128
RIVERDALE PARK
Highway Management Information System (HMIS)
129
ROCK HALL
Highway Management Information System (HMIS)
130
ROCKVILLE
Highway Management Information System (HMIS)
131
ROSEMONT
Highway Management Information System (HMIS)
132
SAINT MICHAELS
Highway Management Information System (HMIS)
133
SALISBURY
Highway Management Information System (HMIS)
134
SEAT PLEASANT
Highway Management Information System (HMIS)
135
SECRETARY
Highway Management Information System (HMIS)
136
SHARPSBURG
Highway Management Information System (HMIS)
137
SHARPTOWN
Highway Management Information System (HMIS)
138
SMITHSBURG
Highway Management Information System (HMIS)
139
SNOW HILL
Highway Management Information System (HMIS)
140
SOMERSET
Highway Management Information System (HMIS)
141
SUDLERSVILLE
Highway Management Information System (HMIS)
142
SYKESVILLE
Highway Management Information System (HMIS)
143
TAKOMA PARK
Highway Management Information System (HMIS)
144
TANEYTOWN
Highway Management Information System (HMIS)
145
TEMPLEVILLE
Highway Management Information System (HMIS)
146
THURMONT
Highway Management Information System (HMIS)
147
TRAPPE
Highway Management Information System (HMIS)
148
UNION BRIDGE
Highway Management Information System (HMIS)
149
UNIVERSITY PARK
Highway Management Information System (HMIS)
150
UPPER MARLBORO
Highway Management Information System (HMIS)
151
VIENNA
Highway Management Information System (HMIS)
152
WALKERSVILLE
Highway Management Information System (HMIS)
153
WASHINGTON GROVE
Highway Management Information System (HMIS)
154
WESTERNPORT
Highway Management Information System (HMIS)
155
WESTMINSTER
Highway Management Information System (HMIS)
156
WILLARDS
Highway Management Information System (HMIS)
157
WILLIAMSPORT
Highway Management Information System (HMIS)
158
WOODSBORO
Highway Management Information System (HMIS)
159
PORT TOBACCO
Highway Management Information System (HMIS)
999
BALTIMORE CITY
Highway Management Information System (HMIS)
sequence number from alphabetic list of incorporated towns
Highway Management Information System
PREFIX
PREFIX
String
2
0
0
RTE_NO
RTE_NO
String
5
0
0
SUFFIX
SUFFIX
String
2
0
0
CARDINALITY
CARDINALITY
String
1
0
0
EXIT_NUM
EXIT_NUM
String
3
0
0
RAMP
RAMP
String
2
0
0
evac
EVAC
SmallInteger
2
5
0
classified evacuation route
ESRGC
0
evacuation designation: not evacuation
ESRGC
1
evacuation designation: evacuation
ESRGC
risk
RISK
Double
8
38
8
Hazard Vulnerability Index: "(!evac!*.5+1.0)*((!GridCode!+.01)/4.0)*(1.0/!Func_cl!)*.70"
ESRGC
bridge
BRIDGE
SmallInteger
2
5
0
classified elevated roadway
ESRGC
0
roadway designation: not elevated
ESRGC
1
roadway designation: elevated
ESRGC
gridcode
gridcode
Integer
4
10
0
stillwater elevation on roadway surface (ft)
ESRGC
0
<= 0.1'
ESRGC
1
> 0.1' and <= .5'
ESRGC
2
>0.5' and <= 1'
ESRGC
3
> 1' and <= .2'
ESRGC
4
> 2'
ESRGC
FID_calvert
FID_calvert
Integer
4
10
0
FID_r2v
FID_r2v
Integer
4
10
0
Id
Id
Integer
4
10
0
FID_cecil
FID_cecil
Integer
4
10
0
FID_harford
FID_harford
Integer
4
10
0
FID_queenAnnes
FID_queenAnnes
Integer
4
10
0
FID_somerset
FID_somerset
Integer
4
10
0
FROMMEASURE
FROMMEASURE
Double
8
38
8
TOMEASURE
TOMEASURE
Double
8
38
8
FROM_MEASURE
FROM_MEASURE
Double
8
38
8
TO_MEASURE
TO_MEASURE
Double
8
38
8
SEGMENT_ID
SEGMENT_ID
Integer
4
10
0
Id_1
Id
Integer
4
10
0
FID_wicomico
FID_wicomico
Integer
4
10
0
FID_worcester
FID_worcester
Integer
4
10
0
HVI_Class
HVI_CLASS
HVI Classification based on groupin of "risk" value
ESRGC
SmallInteger
2
1
risk <= 0.003
ESRGC
2
risk > 0.003 and risk <= 0.15
ESRGC
3
risk > 0.15 and risk <= 0.264
ESRGC
4
risk > 0.264
ESRGC
5
0
Shape.STLength()
Shape.STLength()
Double
0
0
0
dataset
EPSG
6.3(9.0.0)
0
Simple
FALSE
0
TRUE
TRUE
20230727