20260506
08562800
FALSE
20260515
09425600
20260515
09425600
TRUE
BIKE_SLOT_APR26
61997.136600
793690.513700
65107.224800
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_SLOT_APR26
BIKE_SLOT_APR26
Feature Class
17262
BIKE_SLOT_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
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
0
0
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
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 Slot (Keyhole) - April 2026
20260411
Florida Department of Transportation, Transportation Data & Analytics Office (TDA)
Traffic Data Layers
TDL
State of Florida
The Bike Slot feature class shows stripe-separated portions of the roadway, not necessarily marked for bicycles, between a through lane and a right turn lane of an intersection, as derived from event mapping Feature 216, characteristic BIKSLTCD from the FDOT Roadway Characteristics Inventory data. This is recorded for all non-limited access highways, including bridge segments. This data represents the information collected and reported as of the most recent inventory performed and may not reflect the current conditions.
A bike slot is a stripe-separated portion of the roadway, not necessarily marked for bicycles, between a through lane and a right turn lane of an intersection. Bike slots are sometimes referred to as keyhole slots. You may encounter bike slots where marked exclusive right turn lanes exist at intersections. It is important to keep in mind that bike slots overlap bike lanes (Feature 216 BIKELNCD).
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
Keyhole
Bike
Slot
Transportation
Roadway Characteristics Inventory
RCI
Feature 216
BIKSLTCD
Florida Department of Transportation
FDOT
Transportation Data and Analytics
TDA
Florida
FL
Keyhole
Bike
Slot
Transportation
Florida
Feature 216
BIKSLTCD
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
-87.538425
-79.879005
30.949637
24.531625
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 biksltcd;
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_slot 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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=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dataset
EPSG
6.12(9.2.0)
17262
20260515