the tbest framework for data analysis and forecasting rodney p. bunner
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The TBEST Framework for Data Analysis and Forecasting Rodney P. Bunner October 16, 2013 l Public Transit Modeling. Agenda. Motivation and Use GIS Specifications TBEST Framework Components Data Management Data Interoperability Data Requirements Model Engine Analysis and Reports - PowerPoint PPT PresentationTRANSCRIPT
Center for Urban Transportation Research | University of South Florida
The TBEST Framework for Data Analysis and Forecasting Rodney P. Bunner
October 16, 2013 l Public Transit Modeling
Agenda
1. Motivation and Use2. GIS Specifications3. TBEST Framework Components
a) Data Managementb) Data Interoperabilityc) Data Requirementsd) Model Enginee) Analysis and Reports
4. Next Steps
Motivation
FDOT/planners wanted a software tool for short-term transit service planning – designed specifically for transit.
Serve as FDOT provided ridership estimation technique for State mandated Transit Development Plans (TDPs)
Transit Boardings Estimation and Simulation Tool (TBEST) has been in production for several years and is on its 4th Major Version (4.1).
FDOT is continually supporting the improvement of TBEST.
TBEST in Florida
Major Benefits: Standardized modeling method to ensure consistency and
equity among agencies TBEST reduces burden on FDOT for evaluating a variety of
ridership estimation methodologies TBEST reduces burden on agencies to prepare and conduct
more expensive and complex modeling efforts Leverage TBEST data and software framework to support
multiple transit agency tasks:
Mobility Studies NTD Route Miles Market Analysis Network Accessibility
Service Planning Comprehensive Operational
Analysis (COA) Grant Applications FTA Title VI Analysis
TBEST Elsewhere
Various projects inside and outside of Florida:• RVTD (Oregon) Calibration and Implementation• Los Angeles Metro Calibration• CAT (Savannah) Strategic Plan• TheT (Ft. Worth) Model Development• LYNX (Orlando) Service Planning Implementation• PennDOT Pilot Project• PeopleMover (Anchorage, AK)
TBEST GIS Specifications
• Desktop application requiring ArcGIS 10.1 Basic license • Utilizes ArcGIS Engine for map display, spatial analysis
and network editing• SQL Server 2008 R2 (Express or Enterprise editions)• No Network Analyst or ArcSDE required• Utilizes ESRI Map Services, Bing Maps or
preformatted .mxd for base map• No fee for TBEST except ArcGIS license
Components – Data Management
• TBEST manages data specific to individual transit systems
• Each transit system is composed of scenarios which contain editable routes, segments, stops, socio-economic data and network attributes
• Validation specific to each transit system
• All GIS/database files managed internally
• Download pre-formatted SE data, transit systems and model definition packages
• Easily create current or future year scenarios
TBEST managed Transit Systems
Components – Data Management
TBEST User Interface
Components – Data Interoperability
GTFS Import– Imported networks for FL agencies with
GTFS feeds– Utilized nationally in Ft. Worth, RVTD, Los
Angeles, SavannahGTFS Export
– Export TBEST “planning” network into GTFS
– Added TBEST attributes to exported data including ridership and stop amenities
ArcGIS– Export TBEST maps and data into ArcGIS– Import route alignments into TBEST from
outside data sources– Export “loaded networks” into
geodatabases
Components – Data RequirementsORIGINAL DATA REQUIREMENTS• Census 2000
• Employment– FDOT provided InfoUSA
address-based data
• Manually coded Route Network
• Special Generator Specification
CURRENT DATA REQUIREMENTS• Census 2010• American Community Survey
• Employment– FDOT provided InfoUSA address-
based data– Optionally include locally
provided zonal data• Land Use
– Florida Department of Revenue parcel data
• ITE Trip Generation Tables
• GTFS network import and full network editor
• Special Generator and Stop Amenity Specification
Components – Model Engine
• Micro-level model which simulates transit ridership at the level of the individual stop: by route, direction and time period
• Designed to capture both walk access market and network accessibility
• Model equations estimate direct and transfer boardings• Accommodate service features of fare, speed, frequency, etc.• Accommodate fundamental differences in route types (local,
circulator, express)
• Automated Validation – Users supply observed ridership and TBEST calculates model application adjustments…allows TBEST to adapt to different urban locations without developing new model equations (transferable)
Components – Model Engine
Multiple Model Management Users are able to maintain multiple model structures which can be applied to model scenarios
Editable Model Structures Users can add, delete or modify coefficients, land use trip rates, and network and market accessibility parameters
Available Models
Components – Model Engine
BRT Sensitivity - Users specify the implementation level of specific route-level BRT characteristics and TBEST will adjust base ridership forecasts with an empirically derived adjustment factor
Components – Analysis and Reports
Stop, Segment, Route and Regional distribution reports with supporting maps
Components – Analysis and Reports
Scenario Comparison and Mobility Threshold service recommendations
Components – Analysis and Reports
TDP Summary Report - Summarizes annual service area pop, employment, performance, and service for all scenarios in a TBEST transit system
Components – Analysis and Reports
Land Use Market Analysis
Components – Analysis and Reports
Socio-Economic Market Analysis
Components – Analysis and Reports
Network Accessibility Analysis
Steps Underway
October 2013– Release TBEST 4.1– Contains online Video Tutorials – Classroom training early 2014
January 2014– Enhanced FTA Title VI and Environmental Justice Analysis and
ReportingJune 2014 – Parcel Editor– Integrate Observed Ridership for COA support
October 2014– Network Accessibility Composite Measures
CONTACT INFORMATION
Rodney BunnerTransportation Technology [email protected]@hotmail.com
Steven Polzin, Ph.D.Director Mobility Policy [email protected]
Thank You! www.tbest.org
Xuehao Chu, Ph.D.Senior Research [email protected]