Center for Urban Transportation Research | University of South Florida Development of a Regional Public Transportation GIS Architecture and Data Model with FDOT D7 Sean J. Barbeau, Ph.D. Funded by the National Center for Transit Research and the Florida Department of Transportation
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Center for Urban Transportation Research | University of South Florida Development of a Regional Public Transportation GIS Architecture and Data Model.
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Center for Urban Transportation Research | University of South Florida
Development of a Regional Public Transportation GIS Architecture and Data Model with FDOT D7
Sean J. Barbeau, Ph.D.
Funded by the National Center for Transit Research and the Florida Department of Transportation
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Overview
• Challenges in regional transportation coordination
• Regional GIS Architecture and Data Model• Demo• Next Steps
3
Introduction
• Regional intermodal transportation coordination is important– Planning, construction, and operations of roads
can affect transit, and vice versa• Coordination can increase efficiency and cost-
effectiveness for overlapping areas of service– E.g., Construction can be coordinated for roads
and transit stops
4
Challenges
• Regional transportation coordination is difficult– Many jurisdictions with many points of contact– Constantly changing data– Data often stored in different formats– Various levels of technical expertise at different
agencies– Time consuming to manually
exchange/format/analyze data
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Regional GIS Architecture and Data Model Project
• Concept:– Create a common data format for all transit agencies
in a region (i.e., data model)– Create software to automatically retrieve transit
data from regional agencies and import into FDOT District 7 geodatabase (i.e., GIS architecture)
• Benefits:– Reduce data exchange/formatting efforts– Common web-based view of intermodal data for all
agencies
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Transit Data Update Strategy
• Leverage existing General Transit Feed Specification (GTFS) data and process– GTFS used for Google Transit, other apps
GTFS data consists of multiple text files GTFS data powers Google Transit and other apps
• Estimated cost for putting data in GTFS format using consultant is $200-500 per route
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Adding new fields to GTFS data
• The project working group identified additional data that would be useful beyond existing GTFS data fields– Bus stop amenities– Further route classifications (e.g., local vs. express)– Performance stats (e.g., boardings, alightings per stop)
• Agencies add new fields to the GTFS route.txt and stops.txt files. e.g., for stops.txt:stop_id bike_rack sign park_and_