Description: Data was retrieved in October 2017 from two of the State of Florida’s crash databases: Signal Four Analytics, hosted by the GeoPlan Center at the University of Florida, and SSOGis (State Safety Office Geographic Information System) hosted by the FDOT State Safety Office. There are notable differences between the databases, with each dataset offering its own strengths. Signal Four Analytics generally provides a more complete set of data. While SSOGis contains a subset of crash data available from the FLHSMV (Florida Department of Highway Safety and Motor Vehicles), specifically FTCR (Florida Traffic Crash Report) long form data, Signal Four Analytics contains crash data from both long forms and short forms. However, the long form crash data published in SSOGis is generally considered to be more accurate, specifically in how the crashes are geolocated. The databases use different processes to geolocate crashes within the state. The crash data published in SSOGis goes through an added layer of validation by the office’s crash location analysts. Therefore, in generating the dataset, it was determined that using a blended dataset would leverage the strength of both crash databases. Based on the HSMV Report Number, the two datasets were joined. This file contains only crashes involving bicyclists in the City of Orlando. Crashes on limited access facilities have been filtered out
Description: Data was retrieved in October 2017 from two of the State of Florida’s crash databases: Signal Four Analytics, hosted by the GeoPlan Center at the University of Florida, and SSOGis (State Safety Office Geographic Information System) hosted by the FDOT State Safety Office. There are notable differences between the databases, with each dataset offering its own strengths. Signal Four Analytics generally provides a more complete set of data. While SSOGis contains a subset of crash data available from the FLHSMV (Florida Department of Highway Safety and Motor Vehicles), specifically FTCR (Florida Traffic Crash Report) long form data, Signal Four Analytics contains crash data from both long forms and short forms. However, the long form crash data published in SSOGis is generally considered to be more accurate, specifically in how the crashes are geolocated. The databases use different processes to geolocate crashes within the state. The crash data published in SSOGis goes through an added layer of validation by the office’s crash location analysts. Therefore, in generating the dataset, it was determined that using a blended dataset would leverage the strength of both crash databases. Based on the HSMV Report Number, the two datasets were joined. This file contains only crashes involving bicyclists in the City of Orlando. Crashes on limited access facilities have been filtered out
Description: The Roads in RCI feature class covers the state of Florida at a scale of 1:24,000 with a projection system of Universal Transverse Mercator (UTM) 17 North zone and a horizontal datum of North American 1983 (NAD 1983). The map units are in meters.