using geospatial info and tools in multi-modal analysis: the 2007 commodity flow survey
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Using Geospatial Info and Tools in Multi-Modal Analysis: The 2007 Commodity Flow Survey. Steve Lewis USDOT, Research & Innovative Technology Administration Bureau of Transportation Statistics Geospatial Concepts for Executives April 11, 2007. Background: What is the CFS?. - PowerPoint PPT PresentationTRANSCRIPT
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Using Geospatial Info and Tools in Multi-Modal Analysis: The
2007 Commodity Flow Survey
Steve Lewis USDOT, Research & Innovative Technology
AdministrationBureau of Transportation Statistics
Geospatial Concepts for ExecutivesApril 11, 2007
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www.bts.gov 2
Background: What is the CFS?
Freight survey of U.S. businesses (shippers) Performed by RITA/BTS in partnership with the
Census Bureau Previous surveys in 1993, 1997, and 2002 as
part of the U.S. Economic Census Provides data on actual shipments by mode of
transportation
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Background: The Need
Part of major performance push to: Improve overall efficiency of estimating
distances in the RITA/BTS 2007 Commodity Flow Survey
Improve the methods used in generating the shipment mileages
Improve the quality of mileage information reported in the survey
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Shippers generally do not know distance shipments travel
Survey asks for origin and destination ZIP codes
Mileages are calculated for each shipment by mode (highway, rail, water, air, parcel and pipeline)
Modal-mileages are critical for ton-miles
Why CFS Mileage Calculation?
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The Mileage Calculation Problem
Large proportion of shipments are multi-modal
Few national level, multi-modal GIS networks available
Few (if any) commercial routing routines with mode-change logic
In a multimodal trip, when/where does the mode change take place
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The Solution: A Geospatial Approach
Develop a geospatial-based tool GeoMiler based on current GIS technology and robust network data
Develop core multi-modal routing models for domestic and export shipments for all modes
Integrate map visualization tool to help Analysts better estimate mileages for problematic records
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GeoMiler: Logical System Flow
Pre-Processor(Geographic
info correction)
Pre-Processor(Geographic
info correction)
Post-ProcessorModification, flag, and QA
Post-ProcessorModification, flag, and QA
Mileage Solver(Multi-modal &
Export)
Mileage Solver(Multi-modal &
Export)
OUTPUT DATA
Census Bureau
OUTPUT DATA
Census Bureau
Map Interface(Path verification & presentation)
Map Interface(Path verification & presentation)
Data Processor
Route solver
Mapping Interface
INPUT DATACensus Bureau
INPUT DATACensus Bureau
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The Mileage Calculation Process
Required Data Input Valid Origin ZIP Code Valid Destination ZIP Code; if an export,
valid Country Name (valid City Name for Canada and Mexico)
Mode or Mode Sequence Commodity Type, particularly hazmat Commodity Weight
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Input from Survey Form
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Building GeoMiler: GIS Basis
Fully integrated GIS based tool
• Seamless functionality with fully mechanized geographic info correction
• Multimodal pathfinder and distance solver
ArcGIS 9.1 and Network AnalystRoute and OD solvers for estimations
ArcMap for visualization of routes
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Building GeoMiler: GIS Networks
Roads – TeleAtlas DynaMap Transportation Rail – FRA Rail Network Water – USACE Navigable Waterway
Network Air – Based on BTS Office of Airline
Information and Official Airline Guide Pipelines – Great Circle Distance
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Modeling Multimodal Transfer
Highway network
Highway network
Rail network
TRUE ORIGIN
TRUE DESTINATION
Truck-Rail transfer facility
Truck-Rail transfer facility
Modal spatial joins
Modal spatial joins
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Spotsylvania, VA - Chicago:Multimodal Truck->Rail
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Shenadoah, WV – Wendell, MA:Multimodal Rail->Water->Rail->Truck
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Ashland, MA - Frederick, MD:Multimodal Truck-> Air (Dulles)->Truck
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GeoMiler: Beyond the CFS??
Offers possible solutions for other geospatial needs
Capability for other uses and applications beyond CFS distance calculation
BTS interested in partnering with other federal agencies with comparable geospatial needs and challenges