20260506
08562800
FALSE
20260515
09425600
20260515
09425600
TRUE
BIKE_LANE_APR26
61945.750500
793804.684600
62634.164100
771265.780100
1
0.000
ArcSDE Connection
002
Projected
GCS_North_American_1983_HARN
Linear Unit: Meter (1.000000)
NAD_1983_HARN_Florida_GDL_Albers
<ProjectedCoordinateSystem xsi:type='typens:ProjectedCoordinateSystem' xmlns:xsi='http://www.w3.org/2001/XMLSchema-instance' xmlns:xs='http://www.w3.org/2001/XMLSchema' xmlns:typens='http://www.esri.com/schemas/ArcGIS/3.5.0'><WKT>PROJCS["NAD_1983_HARN_Florida_GDL_Albers",GEOGCS["GCS_North_American_1983_HARN",DATUM["D_North_American_1983_HARN",SPHEROID["GRS_1980",6378137.0,298.257222101]],PRIMEM["Greenwich",0.0],UNIT["Degree",0.0174532925199433]],PROJECTION["Albers"],PARAMETER["False_Easting",400000.0],PARAMETER["False_Northing",0.0],PARAMETER["Central_Meridian",-84.0],PARAMETER["Standard_Parallel_1",24.0],PARAMETER["Standard_Parallel_2",31.5],PARAMETER["Latitude_Of_Origin",24.0],UNIT["Meter",1.0],AUTHORITY["EPSG",3087]]</WKT><XOrigin>-19550100</XOrigin><YOrigin>-7526400</YOrigin><XYScale>10000</XYScale><ZOrigin>0</ZOrigin><ZScale>1</ZScale><MOrigin>0</MOrigin><MScale>1</MScale><XYTolerance>0.001</XYTolerance><ZTolerance>0.001</ZTolerance><MTolerance>0.001</MTolerance><HighPrecision>true</HighPrecision><WKID>3087</WKID><LatestWKID>3087</LatestWKID></ProjectedCoordinateSystem>
1.0
ISO 19139 Metadata Implementation Specification
BIKE_LANE_APR26
BIKE_LANE_APR26
Feature Class
19935
BIKE_LANE_APR26
Florida Department of Transportation, Transportation Data & Analytics Office
SHAPE.LENOBJECTIDOID410Length of feature in internal units0EsriSequential unique whole numbers that are automatically generated.FGDLAQDATEDate GeoPlan acquired data from source.GeoPlanDateFGDLAQDATE800Sequential unique whole numbers that are automatically generated.FGDLAQDATESHAPEGeometry800Internal feature number.EsriSequential unique whole numbers that are automatically generated.DESCRIPTFGDL added item based on DESCRGeoPlanROADWAYString800Sequential unique whole numbers that are automatically generated.
Shape
ROAD_SIDE
String
1
0
0
Feature geometry.
ESRI
Coordinates defining the features.
ROADWAY
LNCD
Integer
4
A unique 8-character identification number assigned to a roadway or section of a roadway either On or Off the State Highway System for which information is maintained in the Department's Roadway Characteristics Inventory (RCI).
Florida Department of Transportation, Transportation Data & Analytics Office
8-character roadway identifier. The first two characters are the county code, the next three characters indicate section number and the last three characters indicate the sub-section.
10
0
ROAD_SIDE
DESCR
String
30
Florida Department of Transportation, Transportation Data & Analytics Office
C
Composite
Florida Department of Transportation, Transportation Data & Analytics Office
L
Left side
Florida Department of Transportation, Transportation Data & Analytics Office
R
Right side
Florida Department of Transportation, Transportation Data & Analytics Office
Side of the road
0
0
LNCD
DISTRICT
String
1
Florida Department of Transportation, Transportation Data & Analytics Office
0
UNDESIGNATED (OBSOLETE)
Florida Department of Transportation, Transportation Data & Analytics Office
1
DESIGNATED
Florida Department of Transportation, Transportation Data & Analytics Office
2
BUFFERED
Florida Department of Transportation, Transportation Data & Analytics Office
3
COLORED
Florida Department of Transportation, Transportation Data & Analytics Office
4
BOTH 2 AND 3
Florida Department of Transportation, Transportation Data & Analytics Office
5
SHARROW
Florida Department of Transportation, Transportation Data & Analytics Office
Codes
0
0
DESCR
COUNTYDOT
String
2
Florida Department of Transportation, Transportation Data & Analytics Office
Designation description
0
UNDESIGNATED
Florida Department of Transportation, Transportation Data & Analytics Office
1
DESIGNATED
Florida Department of Transportation, Transportation Data & Analytics Office
0
0
DISTRICT
COUNTY
String
12
Florida Department of Transportation, Transportation Data & Analytics Office
FDOT District Number
1
District 1
Florida Department of Transportation, Transportation Data & Analytics Office
2
District 2
Florida Department of Transportation, Transportation Data & Analytics Office
3
District 3
Florida Department of Transportation, Transportation Data & Analytics Office
4
District 4
Florida Department of Transportation, Transportation Data & Analytics Office
5
District 5
Florida Department of Transportation, Transportation Data & Analytics Office
6
District 6
Florida Department of Transportation, Transportation Data & Analytics Office
7
District 7
Florida Department of Transportation, Transportation Data & Analytics Office
8
Florida's Turnpike Enterprise
Florida Department of Transportation, Transportation Data & Analytics Office
0
0
COUNTYDOT
MNG_DIST
String
4
0
0
Two-character Florida Department of Transportation county identifier. The ROADWAY identifier's first 2 characters are the county identifier.
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
01
Charlotte
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
03
Collier
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
04
Desoto
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
05
Glades
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
06
Hardee
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
07
Hendry
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
09
Highlands
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
12
Lee
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
08
Hernando
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
09
Highlands
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
10
Hillsborough
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
11
Lake
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
13
Manatee
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
14
Pasco
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
15
Pinellas
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
16
Polk
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
17
Sarasota
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
18
Sumter
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
26
Alachua
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
27
Baker
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
28
Bradford
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
29
Columbia
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
30
Dixie
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
31
Gilchrist
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
32
Hamilton
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
33
Lafayette
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
34
Levy
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
35
Madison
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
36
Marion
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
37
Suwannee
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
38
Taylor
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
39
Union
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
46
Bay
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
47
Calhoun
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
48
Escambia
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
49
Franklin
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
50
Gadsden
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
51
Gulf
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
52
Holmes
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
53
Jackson
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
54
Jefferson
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
55
Leon
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
56
Liberty
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
57
Okaloosa
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
58
Santa Rosa
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
59
Wakulla
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
60
Walton
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
61
Washington
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
70
Brevard
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
71
Clay
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
72
Duval
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
73
Flagler
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
74
Nassau
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
75
Orange
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
76
Putnam
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
77
Seminole
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
78
St. Johns
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
79
Volusia
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
86
Broward
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
87
Miami-Dade
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
88
Indian River
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
89
Martin
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
90
Monroe
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
91
Okeechobee
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
92
Osceola
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
93
Palm Beach
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
94
St. Lucie
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
COUNTY
BEGIN_POST
Double
8
38
8
The county that contains the roadway.
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Alachua
Alachua County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Baker
Baker County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Bay
Bay County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Bradford
Bradford County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Brevard
Brevard County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Broward
Broward County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Calhoun
Calhoun County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Charlotte
Charlotte County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Citrus
Citrus County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Clay
Clay County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Collier
Collier County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Columbia
Columbia County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Desoto
Desoto County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Dixie
Dixie County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Duval
Duval County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Escambia
Escambia County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Flagler
Flagler County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Franklin
Franklin County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Gadsden
Gadsden County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Gilchrist
Gilchrist County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Glades
Glades County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Gulf
Gulf County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Hamilton
Hamilton County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Hardee
Hardee County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Hendry
Hendry County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Hernando
Hernando County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Highlands
Highlands County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Hillsborough
Hillsborough County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Holmes
Holmes County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Indian River
Indian River County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Jackson
Jackson County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Jefferson
Jefferson County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Lafayette
Lafayette County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Lake
Lake County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Lee
Lee County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Leon
Leon County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Levy
Levy County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Liberty
Liberty County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Madison
Madison County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Manatee
Manatee County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Marion
Marion County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Martin
Martin County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Miami-Dade
Miami-Dade County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Monroe County
Monroe County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Nassau
Nassau County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Okaloosa
Okaloosa County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Okeechobee
Okeechobee County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Orange
Orange County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Osceola
Osceola County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Palm Beach
Palm Beach County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Pasco
Pasco County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Pinellas
Pinellas County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Polk
Polk County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Putnam
Putnam County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Santa Rosa
Santa Rosa County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Sarasota
Sarasota County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Seminole
Seminole County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
St. Johns
St. Johns County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
St. Lucie
St. Lucie County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Sumter
Sumter County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Suwannee
Suwannee County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Taylor
Taylor County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Union
Union County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Volusia
Volusia County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Wakulla
Wakulla County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Walton
Walton County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
Washington
Washington County
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
MNG_DIST
END_POST
Double
8
38
8
The District that manages the roadway (District 1, District 2, District 3, District 4, District 5, District 6, District 7, or Turnpike). Note that the Managing District may not be the same as the geographic district. For example, roadway ID 08470001 is managed by Turnpike, but its geographic District is District 7. This is a 2-character representation of the Managing District.
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
1
District 1
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
2
District 2
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
3
District 3
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
4
District 4
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
5
District 5
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
6
District 6
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
7
District 7
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
8
Florida's Turnpike Enterprise
Florida Department of Transportation, Transportation Data & Analytics Office RCI Planning Data Handbook
BEGIN_POST
SHAPE.LEN
Double
0
Denotes the lowest milepoint for the record.
Florida Department of Transportation, Transportation Data & Analytics Office
Lowest milepoint for the record
0
0
DESCRIPTAUTOIDInteger4100
END_POST
DESCRIPT
String
30
Denotes the highest milepoint for the record.
Florida Department of Transportation, Transportation Data & Analytics Office
Highest milepoint for the record
0
0
GIS Section Manager
FDOT Transportation Data & Analytics Office
GIS Section Manager
(850) 414-4848/Toll Free: (800) 399-5503
Florida Relay: 1-800-955-8771 (TTY)
Florida Relay: 1-877-955-8773 (Spanish)
Florida Relay: 1-800-955-8770 (Voice)
Florida Department of Transportation: TDD/TTY: 850-410-5708
Florida Relay: 1-800-955-1339 (ASCII)
Florida Relay: 711
Transportation Data & Analytics Office, 605 Suwannee Street, MS 27
Tallahassee
Florida
32399-0450
US
CO-TDAGIS@dot.state.fl.us
ArcGIS Metadata
1.0
0.000Florida Geographic Data Library (FGDL)Jonathan and Melanie Antevy Hall1480 Inner Road, Room 431PO Box 115706GainesvilleFL32611-5706UShttps://fgdl.org/info/contact/NoneDOWNLOADABLE DATAhttps://www.fgdl.org/Enterprise Geodatabase Feature Class
Florida Department of Transportation Bike Lane - April 2026
20260411
Florida Department of Transportation, Transportation Data & Analytics Office (TDA)
Traffic Data Layers
TDL
State of Florida
The Bike Lane feature class shows designated bike lanes for all non-limited access highways, including bridge segments, as derived from event mapping Feature 216, characteristic BIKELNCD from the FDOT Roadway Characteristics Inventory data. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
A designated bike lane is a stripe-separated portion of the roadway that is designated by pavement markings and/or signs for the preferential use of bicycles. These features of the roadway will not break at intersections or on bridges. This data is required for all non-limited access highways, including bridge segments.
GIS Section Manager
FDOT Transportation Data & Analytics Office
Manager
Toll Free: (800) 399-5503
(850) 414-4848
Florida Relay: 1-800-955-8770 (Voice)
Florida Relay: 711
Florida Relay: 1-877-955-8773 (Spanish)
Florida Relay: 1-800-955-8771 (TTY)
Florida Department of Transportation: TDD/TTY: 850-410-5708
Florida Relay: 1-800-955-1339 (ASCII)
Transportation Data & Analytics Office, 605 Suwannee Street, MS-27
Tallahassee
Florida
32399-0450
US
CO-TDAGIS@dot.state.fl.us
Florida
Bike
bicycle
Transportation
RCI
Roadway Characteristics Inventory
Feature 216
BIKELNCD
Florida Department of Transportation
FDOT
Transportation Data and Analytics
TDA
Florida
FL
Bike
bicycle
Transportation
Florida
RCI
Roadway Characteristics Inventory
Feature 216
BIKELNCD
Florida Department of Transportation
FDOT
Transportation Data and Analytics
TDA
FL
NO WARRANTIES: This site and its content is made available by the Florida Department of Transportation on an "as is", "as available" basis without warranties of any kind, express or implied. DISCLAIMER OF LIABILITY: The user of this application and data assumes all responsibility and risk for the use of both. Under no circumstances, including negligence, shall the Florida Department of Transportation, or its employees be liable for any DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY or CONSEQUENTIAL DAMAGES, or LOST PROFITS that result from the use, misuse or inability to use the application and data. Nor shall the Florida Department of Transportation, or its employees be liable for any damages resulting from or related to reliance; mistakes, omissions, interruptions, deletion of files, computer viruses, errors, defects, or any failure of performance, communications failure, theft, destruction or unauthorized access to the application and data.
The Florida Geographic Data Library is a collection of Geospatial Data compiled by the University of Florida GeoPlan Center with support from the Florida Department of Transportation. GIS data available in FGDL is collected from various state, federal, and other agencies (data sources) who are data stewards, producers, or publishers. The data available in FGDL may not be the most current version of the data offered by the data source. University of Florida GeoPlan Center makes no guarantees about the currentness of the data and suggests that data users check with the data source to see if more recent versions of the data exist. Furthermore, the GIS data available in the FGDL are provided 'as is'. The University of Florida GeoPlan Center makes no warranties, guaranties or representations as to the truth, accuracy or completeness of the data provided by the data sources. The University of Florida GeoPlan Center makes no representations or warranties about the quality or suitability of the materials, either expressly or implied, including but not limited to any implied warranties of merchantability, fitness for a particular purpose, or non-infringement. The University of Florida GeoPlan Center shall not be liable for any damages suffered as a result of using, modifying, contributing or distributing the materials. A note about data scale: Scale is an important factor in data usage. Certain scale datasets are not suitable for some project, analysis, or modeling purposes. Please be sure you are using the best available data. 1:24000 scale datasets are recommended for projects that are at the county level. 1:24000 data should NOT be used for high accuracy base mapping such as property parcel boundaries. 1:100000 scale datasets are recommended for projects that are at the multi-county or regional level. 1:125000 scale datasets are recommended for projects that are at the regional or state level or larger. Vector datasets with no defined scale or accuracy should be considered suspect. Make sure you are familiar with your data before using it for projects or analysis. Every effort has been made to supply the user with data documentation. For additional information, see the References section and the Data Source Contact section of this documentation.
NO WARRANTIES: This site and its content is made available by the Florida Department of Transportation on an "as is", "as available" basis without warranties of any kind, express or implied. DISCLAIMER OF LIABILITY: The user of this application and data assumes all responsibility and risk for the use of both. Under no circumstances, including negligence, shall the Florida Department of Transportation, or its employees be liable for any DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY or CONSEQUENTIAL DAMAGES, or LOST PROFITS that result from the use, misuse or inability to use the application and data. Nor shall the Florida Department of Transportation, or its employees be liable for any damages resulting from or related to reliance; mistakes, omissions, interruptions, deletion of files, computer viruses, errors, defects, or any failure of performance, communications failure, theft, destruction or unauthorized access to the application and data.
Data are valid from the publication date until a new feature class is published. This dataset is updated every Saturday.
20260411
Microsoft Windows 10 Version 10.0 (Build 26200) ; Esri ArcGIS 13.5.3.57366
1
-87.538963
-79.877811
30.949637
24.509288
All data for this dataset are logically consistent.
This dataset is complete as of date of production.
This dataset was created using ESRI event mapping. The route system is the Transportation Data and Analytics' linear referencing system (LRS). The event source data are from the fahwysys table stored in Oracle. The event data is retrieved using the following query: select * from bikelncd;
20260411
The data set was taken from the Florida Department of Transportation Statistics Office from the following webpage: http://www.dot.state.fl.us/planning/statistics/gis
The data set was originally downloaded in April 2026 as the RCI basemap. Specific instructions, created by FDOT, their consultants, and the GeoPlan Center, were carried out. The data set is then to be updated on a regular basis. The data was originally in UTM Zone 17, Nad83, units meters.
The data was projected to Albers HPGN (EPSG=3087).
-Download the most recent Statewide File GeoDataBase
-Export from feature class bike_lane to shapefile
-Project the shape file to the standard FGDL projection.
-Deleted items Shape_Leng, Shape_Length
-Add Descript item based on DESCR2026-04-17T00:00:00Sam PalmerUniversity of Florida - GeoPlan CenterSpatial and Attribute Information
This data is provided 'as is'. GeoPlan relied on the integrity of the original data layer's topology.This data is provided 'as is' by GeoPlan and is complete to our knowledge.GeoPlan relied on the integrity of the attribute information within the original data.This data is provided 'as is' and its horizontal positional accuracy has not been verified by GeoPlan.This data is provided 'as is' and its vertical positional accuracy has not been verified by GeoPlan.0
original metadata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/9j/4AAQSkZJRgABAQEAAAAAAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0a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dataset
EPSG
6.12(9.2.0)
19935
20260515