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.
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).
publication date
This product has been compiled from the most accurate source data from the Florida Department of Transportation's Transportation Statistics Office. However, this product is for reference purposes only and is not to be construed as a legal document or survey instrument. Any reliance on the information contained herein is at the user's own risk. The Florida Department of Transportation assumes no responsibility for any use of the information contained herein or any loss resulting therefrom.
Transportation Statistics Office, 605 Suwannee Street, MS-27
GeoPlan relied on the integrity of the attribute information within the original data.
All data for this dataset are logically consistent.
This dataset is complete as of date of production.
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
Spatial and Attribute Information
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;
The data set was taken from the Florida Department of Transportation Statistics Office from the following webpage: ftp://ftp.dot.state.fl.us/fdot/co/planning/transtat/gis/shapefiles/ The data set was originally downloaded in October 2017 in shapefile format. Specific instructions, created by URS Corporation 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. -Downloaded the most recent Statewide Personal 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 DESCR
Dataset copied.
Internal feature number.
ESRI
Feature geometry.
ESRI
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 Statistics Office
Side of the road
Florida Department of Transportation, Transportation Statistics Office
Composite
Florida Department of Transportation, Transportation Statistics Office
Left side
Florida Department of Transportation, Transportation Statistics Office
Right side
Florida Department of Transportation, Transportation Statistics Office
Codes
Florida Department of Transportation, Transportation Statistics Office
UNDESIGNATED
Florida Department of Transportation, Transportation Statistics Office
DESIGNATED
Florida Department of Transportation, Transportation Statistics Office
Designation Description
Florida Department of Transportation, Transportation Statistics Office
UNDESIGNATED
Florida Department of Transportation, Transportation Statistics Office
DESIGNATED
Florida Department of Transportation, Transportation Statistics Office
Denotes the lowest milepoint for the record.
Florida Department of Transportation, Transportation Statistics Office
Denotes the highest milepoint for the record.
Florida Department of Transportation, Transportation Statistics Office
FGDL added field based on DESCR
GeoPlan
FGDL added field based on date received from source
GeoPlan
Unique ID added by GeoPlan
GeoPlan
Length in meters
GeoPlan
431 Architecture PO Box 115706
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. For more information regarding scale and accuracy, see our webpage at: http://geoplan.ufl.edu/education.html
shapefile
Transportation Statistics Office, 605 Suwannee Street, MS 27