Case Study: North Dakota
Using FAF Data in Economic Analysis
June 26, 2014
EunSu Lee
Associate Research Fellow, Upper Grea...
Agenda
• Background
• Objective of the case study
• Economic analysis and FAF
• Understanding FAF
• Why FAF?
• Incorporati...
Background
• Boom of oil & gas industries, changes of
agricultural logistics pattern, and
increase of other baseline traff...
Objective of the Case Study
• To support NDDOT and Counties to
identify current and future needs
• Tasks
– To quantify fre...
Needs for Statewide Modeling
• Funnel of Dynamic Economic Activities
– Increasing complexity
Empirical
Base
Forecasting
Tr...
Importance of Economic Analysis
• Critical rural freight corridors for goods
movement
• Financial constraint
• Deteriorate...
Economic Analysis Process
Overview
Source: HERS-ST User Guide9
Highway Inventory
Capacity
NDDOT/UGPTI Network
Engineering ...
State Traffic Model
• Intra-zonal Movement
– UGPTI Report from www.ugpti.org
Economic Analysis Tools
Agriculture
Manufac
t...
Traffic Flow in FAF
Local Truck Traffic (I-I)
Inbound (E-I) Outbound (I-E)Import(E-I)
Export(I-E)
FAF
Non-FAF
Through traf...
What FAF does and does NOT do
• What the FAF does
– Indicates states’ and localities’ major trading
partners, plus volumes...
Things To know About FAF3
• Geographic regions
– Single TAZ in North Dakota
• Network
– Centerline without considering dir...
Things To know About FAF3
• Geographic regions (FAF Zone)
Source: http://faf.ornl.gov/fafweb/Documentation.aspx
North Dako...
Things To know About FAF3
• Comparison of FAF and state networks
FAF Network North Dakota GIS Hub
Why FAF?
• Comprehensive freight movements
• Multimodal infrastructure
• Authoritative
• Affordable
• Easy to use
Data Download
FAF Freight: 2007
NONFAF07FAF07
AADTT 07AADT 07
Data Download
FAF – Data Dictionary
AADT
AADTT
FAF
NONFAF
Passenger
FAF3.4 Freight: Growth
AADTT
(Average Annual Daily Truck Traffic)
Non-FAF
FAF
FAF3 - Traffic Growth
• Missing Annual Traffic Growth
– FAF07 and
– ??? (FAF08, FAF09, …….FAF30, …, FAF39)
– FAF40
• Assum...
Example – Interpolating: FAF
Example – Interpolated: FAF
Hybrid
• Intra-zonal traffic & Inter-zonal Traffic
Agriculture
Manufac
turing
Logistics
Passenger
Energy
ThroughTrad
e
Int...
Hybrid
• Growth Rate Within the State: Non-Linear
• Growth Rate of FAF07-40: Linear
Projected AADT for 2014~2032 by 2 years
Results
Investment Needs for the Funding Periods
• Average Daily Trips (ADT)
• Average Daily Truck Trips (ADTT)
• Truck Ty...
Results
Investment Needs for the Funding Periods
27
Source: www.ugpti.org
Results
Estimated Funding Required for the Funding
Periods
28
Source: www.ugpti.org
FAF & Road Investment Planning
• FAF outputs:
– Yearly or biennial traffic flows
– Directional flows for major highways an...
Summary
• Demonstrated how FAF is used for
Economic Analysis
• Demonstrated the process of combining
local traffic and FAF...
Thanks for your Attention!
Eunsu.lee@ndsu.edu
701-231-6448
Using FAF Data in Economic Analysis/Case Study: North Dakota
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Using FAF Data in Economic Analysis/Case Study: North Dakota

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UGPTI researcher EunSu Lee uses work in North Dakota as an example of how practitioners can use Freight Analysis Framework (FAF) data to support economic analysis, such as cost-benefit studies, freight investment scenarios and other activities.

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Using FAF Data in Economic Analysis/Case Study: North Dakota

  1. 1. Case Study: North Dakota Using FAF Data in Economic Analysis June 26, 2014 EunSu Lee Associate Research Fellow, Upper Great Plains Transportation Institute North Dakota State University, Fargo, ND
  2. 2. Agenda • Background • Objective of the case study • Economic analysis and FAF • Understanding FAF • Why FAF? • Incorporating FAF • Results • Q & A
  3. 3. Background • Boom of oil & gas industries, changes of agricultural logistics pattern, and increase of other baseline traffic • Road infrastructure needs for a 20-year planning horizon • Needs for travel demand modeling (TDM) and economic analysis
  4. 4. Objective of the Case Study • To support NDDOT and Counties to identify current and future needs • Tasks – To quantify freight flows for commodities on major highways and local roads – To forecast future highway capacity – To estimate investments needs
  5. 5. Needs for Statewide Modeling • Funnel of Dynamic Economic Activities – Increasing complexity Empirical Base Forecasting Transportation Planning Energ y Agricul tureMan ufact uringLogis tics Passeng er Thro ugh Trad e Time Uncertainty
  6. 6. Importance of Economic Analysis • Critical rural freight corridors for goods movement • Financial constraint • Deteriorated and insufficient infrastructure for energy and agricultural logistics and economic activities • Using FAF Traffic Data – Benefit Cost Analysis (BCA) – Life-Cycle Cost Analysis (LCCA)
  7. 7. Economic Analysis Process Overview Source: HERS-ST User Guide9 Highway Inventory Capacity NDDOT/UGPTI Network Engineering Standards Deficiency Standards Benchmark Unit Cost User Cost Treatment Traffic Forecasting (intermediate year file) Cost and Treatment Road Network Traffic Volume Benefit- Cost Analysis Life- Cycle Cost Analysis FAF Local trips
  8. 8. State Traffic Model • Intra-zonal Movement – UGPTI Report from www.ugpti.org Economic Analysis Tools Agriculture Manufac turing Logistics Passenger Through Trade Inter- state Energy
  9. 9. Traffic Flow in FAF Local Truck Traffic (I-I) Inbound (E-I) Outbound (I-E)Import(E-I) Export(I-E) FAF Non-FAF Through traffic (E-E) Data Sources
  10. 10. What FAF does and does NOT do • What the FAF does – Indicates states’ and localities’ major trading partners, plus volumes and sources of traffic passing through their jurisdictions at corridor level – Shows truck tonnage and number of trucks on the network, particularly in regions with multiple routes or significant local traffic between major centers of freight activity • What the FAF does NOT – Show local detail or temporal variation in freight flows – Provide local data to support local applications
  11. 11. Things To know About FAF3 • Geographic regions – Single TAZ in North Dakota • Network – Centerline without considering directions for divided highways and one-way traffic – Not designed for the purpose of routing – Primary freight network and critical rural freight corridors (no local roads) • Attributes – No road condition / No pavement type • Adjustment – Coarse space and time
  12. 12. Things To know About FAF3 • Geographic regions (FAF Zone) Source: http://faf.ornl.gov/fafweb/Documentation.aspx North Dakota
  13. 13. Things To know About FAF3 • Comparison of FAF and state networks FAF Network North Dakota GIS Hub
  14. 14. Why FAF? • Comprehensive freight movements • Multimodal infrastructure • Authoritative • Affordable • Easy to use
  15. 15. Data Download
  16. 16. FAF Freight: 2007 NONFAF07FAF07 AADTT 07AADT 07
  17. 17. Data Download
  18. 18. FAF – Data Dictionary AADT AADTT FAF NONFAF Passenger
  19. 19. FAF3.4 Freight: Growth AADTT (Average Annual Daily Truck Traffic) Non-FAF FAF
  20. 20. FAF3 - Traffic Growth • Missing Annual Traffic Growth – FAF07 and – ??? (FAF08, FAF09, …….FAF30, …, FAF39) – FAF40 • Assumption to use FAF traffic for ND Model – Using Primal Highways for long distance
  21. 21. Example – Interpolating: FAF
  22. 22. Example – Interpolated: FAF
  23. 23. Hybrid • Intra-zonal traffic & Inter-zonal Traffic Agriculture Manufac turing Logistics Passenger Energy ThroughTrad e Inter - state
  24. 24. Hybrid • Growth Rate Within the State: Non-Linear • Growth Rate of FAF07-40: Linear Projected AADT for 2014~2032 by 2 years
  25. 25. Results Investment Needs for the Funding Periods • Average Daily Trips (ADT) • Average Daily Truck Trips (ADTT) • Truck Type and Axle Configuration • Structural Number (SN) • Cumulative ESALs • Existing Pavement Structure • Present Serviceability Rating (PSR) • Oil Module (MR) • Maximum Feasible Life with no truck traffic • Graded Width factors Decision Logic 26 Source: www.ugpti.org FAF
  26. 26. Results Investment Needs for the Funding Periods 27 Source: www.ugpti.org
  27. 27. Results Estimated Funding Required for the Funding Periods 28 Source: www.ugpti.org
  28. 28. FAF & Road Investment Planning • FAF outputs: – Yearly or biennial traffic flows – Directional flows for major highways and rural freight corridors • Implication: road investments needed
  29. 29. Summary • Demonstrated how FAF is used for Economic Analysis • Demonstrated the process of combining local traffic and FAF traffic • Discussed the components to improve for the future FAF
  30. 30. Thanks for your Attention! Eunsu.lee@ndsu.edu 701-231-6448

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