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Infrastructure Needs:
North Dakota’s County, Township, & Tribal Roads
& Bridges
2021-2040
Draft Report
Sharing the Vision for North Dakota’s Transportation System
Virtual Meeting
July 21, 2020
Upper Great Plains Transportation Institute
North Dakota State University
Presenters: Dale Heglund, Alan Dybing, Bradley Wentz, Tim Horner
Purpose of Today's Presentation
• Review draft report results with jurisdictions
prior to legislative presentation.
– No legislative presentation request at this time.
• Similar process as in 2016
Slide 2
Outline of Today’s Presentation
• Introductory Remarks and Purpose of the Study
• Quick History of Studies
• Traffic Forecasting
• Unpaved (Gravel) Analysis
• Data Analysis Processes/Issues
• Paved Analysis
• Bridge Analysis
• Results - Summation of Needs
• Comment Process
Slide 3
Purpose of The Study
• Directed by 2019 Legislative Session
• Outcomes to be used for distributing HB
1066 (Operation Prairie Dog) county funding
Slide 4
Study Team
• Denver Tolliver
• Alan Dybing
• Brad Wentz
• Kelly Bengtson
• Pan Lu
• Dale Heglund
• Tim Horner
• Satpal Wadhwa
• Sharijad Hasan
Slide 5
Quick History of Studies
• 2010 study: UGPTI estimated road investment
needs for the 2011 session
– 21,500 new wells & increased ag. production
• 2012 study: updated investment needs
– 46,000 new wells, ag. production, & initial bridge study
• 2014 Study: more comprehensive data
– Higher roadway costs, ag. production, & 60,000 new wells
• 2016 Study: First study with GRIT and Reduced Oil
Exploration: 30, 60, & 90 Rigs
Slide 6
Quick History of Studies
• 2020 study: First study with a 4-year gap
between studies.
– First study where it was known that funding
distribution was partially tied to results
Slide 7
General Changes in Study Process
• Paved project history primarily came from GRIT
– Obtained age, width and project data from counties
through GRIT.
• Used new unpaved survey instrument
• UGPTI collected all pavement image and ride data
via smartphone
• Traffic Model Sensitivity Process
– Added late in study for COVID-19 and reduced oil price
Slide 8
Traffic Forecasting
• Impacts to roadways are dependent on traffic levels
– Unpaved
• More frequent blading
• More frequent and thicker gravel overlays
• Dust suppressant and base stabilization
– Paved
• Design based upon projected ESALs
• Pavement Thickness
• Pavement Deterioration
• Travel Demand Model
– Using agricultural and oil related data to forecast truck traffic over
the next 20 years
– Compared against observed traffic counts and adjusted
Slide 9
Model Groups
• Agriculture
– Corn
– Wheat
– Soybeans
– Barley
– Canola
– Sunflowers
– Dry Edible Beans
– Sugarbeets
– Potatoes
• Oil
– Fresh Water
– Rigs
– Equipment
– Fuel
– Mud
– Pipe
– Produced Water
– Outbound Oil
Slide 10
Oil Forecasts
• The baseline forecast
developed through
discussions with Oil &
Gas
• 1,440 new wells/year –
equivalent to 60
operating rigs
• Spatial forecast of
location
Slide 11
Agricultural Forecasts
• Historical yield and
acreage data
• Trends developed
from historical
observations with
adjustments for
outliers
Slide 12
Traffic Counts
Slide 13
Unpaved Analysis
• Assigning maintenance costs based upon
traffic level forecasts
• Survey of costs and practices
• Group miles by traffic levels
• Apply annualized costs to each traffic level
and add up mileages across each
jurisdiction
Slide 14
Gravel Survey
• Mailed to all 53 counties
and roughly 1,300
organized townships
• Response rate:
– Counties: 100%
– Townships: 75%
• Costs and Practices
Slide 15
Gravel Survey
Slide 16
Gravel Survey
Slide 17
Practices by Traffic Level
Slide 18
Unpaved Condition (CMC)
Slide 19
County Survey Responses
Unpaved Condition (non-CMC)
Slide 20
County Survey Responses
Aggregate Cost/Cu.Yd.
Slide 21
Average Trucking Distance
Slide 22
Gravel Testing and Specifications
• Specifying and testing gravel
insures that we are getting
quality material.
• Wash boarding, rutting, dust, and
loose rock/sand are all gravel
quality issues.
• Gravel quality affects safety risks
and maintenance costs
• Motor grader operators set the
roadway shape, with a target 4%
slope. Flat roads pothole.
Slide 23
Gravel Specs (blue)
Gravel Testing (blue)
Paved Analysis
• Data Collection
– Pavement condition
– GRIT – County data
– Existing Conditions
• Data Analysis
– AASHTO routine
– Costs
• Pavement results
Slide 24
Pavement Data Collection
• Condition data collection
– Previous study - NDDOT
Pathway van
– Smartphone Application
– Approx. 5300 miles of ride and
image data collected
Slide 25
Pavement Data Collection
• All devices reported IRI based on accelerometer.
– Calibration required with Pathway Van
Slide 26
Pavement Data Collection
• All devices reported IRI based on accelerometer.
– Good results after development of regression models
Slide 27
Slide 28
Slide 29
Data Collection (Cont.)
• Pavement/subgrade strength and depth
 Falling Weight Deflectometer and Ground Penetrating
Radar
 Sampling on all county paved segments > 2 miles in
length
 Completed October 28, 2015
 Updated with GRIT Data...
pg. 30
Pavement Data Collection
• Geographic Roadway Inventory
Tool (GRIT)
– Easy to use web-map based
inventory tool
– Available and in use by all ND
Counties
– Four Layers of Information
• Construction History
• Construction Planning
• Minor Structures
• Load Restrictions
Slide 31
https://www.ugpti.org/resources/asset-inventory/
Pavement Data Collection
• Geographic Roadway Inventory
Tool (GRIT)
– Construction History – SN
• Pavement thickness and type
• Base thickness and type
• Subgrade strength
• Pavement Age
– Shoulder type and width
Slide 32
https://www.ugpti.org/resources/asset-inventory/
Paved Data Analysis
• AASHTO pavement design model
– Design Inputs
• PSR – initial pavement condition
• Cumulative ESAL's – truck traffic
• Structural Number SN – roadway strength
• Subgrade strength – Resilient Modulus
• Other Inputs
– Shoulder width
Slide 33
Slide 34
Map of ESALS
Slide 35
Map of SN
Slide 36
Map of Shoulder Width
Paved Data Analysis
• Project Selection and Costs
– Bituminous Overlay
• $200 to $550,000
– Total Reconstruction
• $1.4 Million
– Mine & Blend / Reclamation
• $678,000
– Widening with Overlay
• Add $87,000 per foot width to overlay
– Concrete Pavement Repair (CPR)
• $450,000
Slide 37
Slide 38
Needs Output with project
types
Bridge Analysis
• Data sources
– Used the FHWA 2019 National Bridge Inventory
System (NBIS).
• Contained data from 2019 bridge safety surveys
– Extracted the existing box culverts
– Extracted minimum maintenance road based
bridges – about 175
– Extracted known improvements for 2019 and
2020
Slide 39
pg. 40
Grand Totals by County – All Improvements
Bridge Condition and Location – FHWA NBIS - 2019
Bridge Analysis Methodology
• In a Nutshell – Reviewed the Following
– Deck, Superstructure or Substructure <= 4
– On-System bridges < HS-20
– Structurally Deficient
– Width < 20 ft. (off-system)
– Low Sufficiency Rating with unknown foundation
Slide 41
Bridge Analysis
Slide 42
Bridge Analysis
Slide 43
Bridge Analysis
Slide 44
Bridge Analysis
Slide 45
2020
Bridge Analysis
• Unit cost model
– Based on 2019-20 NDDOT county bid reports
• Examples obtained from Local Govt. Div.
• Includes approach roadway, preliminary and
construction engineering
• Replacement cost projections:
– Bridges: $295/sf. deck area
– Culverts: $450,000 per single barrel box and
$750,000 per multiple barrel box.
Slide 46
Bridge Analysis
• Rehabilitation:
– Deck widening 50% replacement cost
– Deck replacement 45% replacement cost
• Preventive maintenance:
– $0.25/sf./year – deck washing, deck and crack
sealing and joint maintenance
– $0.29/sf./year if within 5 miles of city > 5000
population
Slide 47
Slide 48
Results of Analysis:
Unpaved, Paved and Bridges
Results of Unpaved Analysis
by Jurisdiction (2021-2022)
Slide 49
Jurisdiction and/or
Maintenance Resp.
Needs
(Millions)
Percent of
Needs
County $ 395.86 65%
Township $ 203.00 33%
Tribal $ 12.22 2%
Total $ 611.08 100%
Results of Unpaved Analysis
by Jurisdiction (2021-2040))
Slide 50
Jurisdiction and/or
Maintenance Resp. Needs (Millions)
Percent of
Needs
County $3,794.97 65%
Township $2,038.41 33%
Tribal $ 122.72 2%
Total $6,136.10 100%
Results of Paved Analysis
Summary of Paved Road Investment and Maintenance
Needs for Counties and Townships in North Dakota
(Millions of 2020 Dollars)
Slide 51
Period Statewide
2021-22 $ 388.46
2023-24 $ 406.97
2025-26 $ 304.56
2027-28 $ 264.53
2029-30 $ 222.20
2031-40 $ 1,081.77
2021-40 $ 2,668.49
Results of Bridge Analysis
Slide 52
Results of Bridge Analysis
Slide 53
Period
Rehabilitation Replacement
Improved
Bridges
Maintenance Cost
$ Thousand
Total
Cost $ Thousand
Bridges Cost $ Bridges Cost $
Thousand
Backlog 6 $2,252 619 $474,663
2021-2022
1 $224.85 120 $92,018.59 121 $2,144.63 $94,388
2023-2024
1 $240.57 120 $92,018.59 121 $2,144.63 $94,404
2025-2026
1 $580.94 120 $92,018.59 121 $2,144.63 $94,744
2027-2028
1 $465.84 120 $92,018.59 121 $2,144.63 $94,629
2029-2030
1 $312.09 120 $92,018.59 121 $2,144.63 $94,475
2031-2040
1 $427.26 19 $14,569.61 20 $10,723.15 $25,720
2021-2040 6 $2,252 619 $474,663 625 $21,446 $498,360
Statewide Results
Slide 54
$ Millions
Period Unpaved Paved Bridges Total
2021-2022 $ 611.08 $ 388.46 $94 $ 1093.54
2023-2024 $ 602.19 $ 406.97 $94 $ 1103.16
2025-2026 $ 616.21 $ 304.56 $95 $ 1015.77
2027-2028 $ 615.89 $ 264.53 $95 $ 975.42
2029-2030 $ 602.76 $ 222.20 $94 $ 918.96
2031-2040 $ 3,087.97 $ 1,081.77 $26 $ 4195.74
2021-2040 $ 6,136.10 $ 2,668.49 $498 $ 9302.59
Statewide Pie Chart
Slide 55
Tracking of Comments/Responses
• As per 2014 Method.
pg. 56
Draft Document on Webpage
pg. 57
Comment Process
• Contact info – Email submittal preferred
• ndsu.roadneeds@ndsu.edu
• Responders will be Tim Horner, Dale
Heglund, Brad Wentz or Alan Dybing
Slide 58

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Sharing the Vision for North Dakota's Transportation System

  • 1. Infrastructure Needs: North Dakota’s County, Township, & Tribal Roads & Bridges 2021-2040 Draft Report Sharing the Vision for North Dakota’s Transportation System Virtual Meeting July 21, 2020 Upper Great Plains Transportation Institute North Dakota State University Presenters: Dale Heglund, Alan Dybing, Bradley Wentz, Tim Horner
  • 2. Purpose of Today's Presentation • Review draft report results with jurisdictions prior to legislative presentation. – No legislative presentation request at this time. • Similar process as in 2016 Slide 2
  • 3. Outline of Today’s Presentation • Introductory Remarks and Purpose of the Study • Quick History of Studies • Traffic Forecasting • Unpaved (Gravel) Analysis • Data Analysis Processes/Issues • Paved Analysis • Bridge Analysis • Results - Summation of Needs • Comment Process Slide 3
  • 4. Purpose of The Study • Directed by 2019 Legislative Session • Outcomes to be used for distributing HB 1066 (Operation Prairie Dog) county funding Slide 4
  • 5. Study Team • Denver Tolliver • Alan Dybing • Brad Wentz • Kelly Bengtson • Pan Lu • Dale Heglund • Tim Horner • Satpal Wadhwa • Sharijad Hasan Slide 5
  • 6. Quick History of Studies • 2010 study: UGPTI estimated road investment needs for the 2011 session – 21,500 new wells & increased ag. production • 2012 study: updated investment needs – 46,000 new wells, ag. production, & initial bridge study • 2014 Study: more comprehensive data – Higher roadway costs, ag. production, & 60,000 new wells • 2016 Study: First study with GRIT and Reduced Oil Exploration: 30, 60, & 90 Rigs Slide 6
  • 7. Quick History of Studies • 2020 study: First study with a 4-year gap between studies. – First study where it was known that funding distribution was partially tied to results Slide 7
  • 8. General Changes in Study Process • Paved project history primarily came from GRIT – Obtained age, width and project data from counties through GRIT. • Used new unpaved survey instrument • UGPTI collected all pavement image and ride data via smartphone • Traffic Model Sensitivity Process – Added late in study for COVID-19 and reduced oil price Slide 8
  • 9. Traffic Forecasting • Impacts to roadways are dependent on traffic levels – Unpaved • More frequent blading • More frequent and thicker gravel overlays • Dust suppressant and base stabilization – Paved • Design based upon projected ESALs • Pavement Thickness • Pavement Deterioration • Travel Demand Model – Using agricultural and oil related data to forecast truck traffic over the next 20 years – Compared against observed traffic counts and adjusted Slide 9
  • 10. Model Groups • Agriculture – Corn – Wheat – Soybeans – Barley – Canola – Sunflowers – Dry Edible Beans – Sugarbeets – Potatoes • Oil – Fresh Water – Rigs – Equipment – Fuel – Mud – Pipe – Produced Water – Outbound Oil Slide 10
  • 11. Oil Forecasts • The baseline forecast developed through discussions with Oil & Gas • 1,440 new wells/year – equivalent to 60 operating rigs • Spatial forecast of location Slide 11
  • 12. Agricultural Forecasts • Historical yield and acreage data • Trends developed from historical observations with adjustments for outliers Slide 12
  • 14. Unpaved Analysis • Assigning maintenance costs based upon traffic level forecasts • Survey of costs and practices • Group miles by traffic levels • Apply annualized costs to each traffic level and add up mileages across each jurisdiction Slide 14
  • 15. Gravel Survey • Mailed to all 53 counties and roughly 1,300 organized townships • Response rate: – Counties: 100% – Townships: 75% • Costs and Practices Slide 15
  • 18. Practices by Traffic Level Slide 18
  • 19. Unpaved Condition (CMC) Slide 19 County Survey Responses
  • 20. Unpaved Condition (non-CMC) Slide 20 County Survey Responses
  • 23. Gravel Testing and Specifications • Specifying and testing gravel insures that we are getting quality material. • Wash boarding, rutting, dust, and loose rock/sand are all gravel quality issues. • Gravel quality affects safety risks and maintenance costs • Motor grader operators set the roadway shape, with a target 4% slope. Flat roads pothole. Slide 23 Gravel Specs (blue) Gravel Testing (blue)
  • 24. Paved Analysis • Data Collection – Pavement condition – GRIT – County data – Existing Conditions • Data Analysis – AASHTO routine – Costs • Pavement results Slide 24
  • 25. Pavement Data Collection • Condition data collection – Previous study - NDDOT Pathway van – Smartphone Application – Approx. 5300 miles of ride and image data collected Slide 25
  • 26. Pavement Data Collection • All devices reported IRI based on accelerometer. – Calibration required with Pathway Van Slide 26
  • 27. Pavement Data Collection • All devices reported IRI based on accelerometer. – Good results after development of regression models Slide 27
  • 30. Data Collection (Cont.) • Pavement/subgrade strength and depth  Falling Weight Deflectometer and Ground Penetrating Radar  Sampling on all county paved segments > 2 miles in length  Completed October 28, 2015  Updated with GRIT Data... pg. 30
  • 31. Pavement Data Collection • Geographic Roadway Inventory Tool (GRIT) – Easy to use web-map based inventory tool – Available and in use by all ND Counties – Four Layers of Information • Construction History • Construction Planning • Minor Structures • Load Restrictions Slide 31 https://www.ugpti.org/resources/asset-inventory/
  • 32. Pavement Data Collection • Geographic Roadway Inventory Tool (GRIT) – Construction History – SN • Pavement thickness and type • Base thickness and type • Subgrade strength • Pavement Age – Shoulder type and width Slide 32 https://www.ugpti.org/resources/asset-inventory/
  • 33. Paved Data Analysis • AASHTO pavement design model – Design Inputs • PSR – initial pavement condition • Cumulative ESAL's – truck traffic • Structural Number SN – roadway strength • Subgrade strength – Resilient Modulus • Other Inputs – Shoulder width Slide 33
  • 36. Slide 36 Map of Shoulder Width
  • 37. Paved Data Analysis • Project Selection and Costs – Bituminous Overlay • $200 to $550,000 – Total Reconstruction • $1.4 Million – Mine & Blend / Reclamation • $678,000 – Widening with Overlay • Add $87,000 per foot width to overlay – Concrete Pavement Repair (CPR) • $450,000 Slide 37
  • 38. Slide 38 Needs Output with project types
  • 39. Bridge Analysis • Data sources – Used the FHWA 2019 National Bridge Inventory System (NBIS). • Contained data from 2019 bridge safety surveys – Extracted the existing box culverts – Extracted minimum maintenance road based bridges – about 175 – Extracted known improvements for 2019 and 2020 Slide 39
  • 40. pg. 40 Grand Totals by County – All Improvements Bridge Condition and Location – FHWA NBIS - 2019
  • 41. Bridge Analysis Methodology • In a Nutshell – Reviewed the Following – Deck, Superstructure or Substructure <= 4 – On-System bridges < HS-20 – Structurally Deficient – Width < 20 ft. (off-system) – Low Sufficiency Rating with unknown foundation Slide 41
  • 46. Bridge Analysis • Unit cost model – Based on 2019-20 NDDOT county bid reports • Examples obtained from Local Govt. Div. • Includes approach roadway, preliminary and construction engineering • Replacement cost projections: – Bridges: $295/sf. deck area – Culverts: $450,000 per single barrel box and $750,000 per multiple barrel box. Slide 46
  • 47. Bridge Analysis • Rehabilitation: – Deck widening 50% replacement cost – Deck replacement 45% replacement cost • Preventive maintenance: – $0.25/sf./year – deck washing, deck and crack sealing and joint maintenance – $0.29/sf./year if within 5 miles of city > 5000 population Slide 47
  • 48. Slide 48 Results of Analysis: Unpaved, Paved and Bridges
  • 49. Results of Unpaved Analysis by Jurisdiction (2021-2022) Slide 49 Jurisdiction and/or Maintenance Resp. Needs (Millions) Percent of Needs County $ 395.86 65% Township $ 203.00 33% Tribal $ 12.22 2% Total $ 611.08 100%
  • 50. Results of Unpaved Analysis by Jurisdiction (2021-2040)) Slide 50 Jurisdiction and/or Maintenance Resp. Needs (Millions) Percent of Needs County $3,794.97 65% Township $2,038.41 33% Tribal $ 122.72 2% Total $6,136.10 100%
  • 51. Results of Paved Analysis Summary of Paved Road Investment and Maintenance Needs for Counties and Townships in North Dakota (Millions of 2020 Dollars) Slide 51 Period Statewide 2021-22 $ 388.46 2023-24 $ 406.97 2025-26 $ 304.56 2027-28 $ 264.53 2029-30 $ 222.20 2031-40 $ 1,081.77 2021-40 $ 2,668.49
  • 52. Results of Bridge Analysis Slide 52
  • 53. Results of Bridge Analysis Slide 53 Period Rehabilitation Replacement Improved Bridges Maintenance Cost $ Thousand Total Cost $ Thousand Bridges Cost $ Bridges Cost $ Thousand Backlog 6 $2,252 619 $474,663 2021-2022 1 $224.85 120 $92,018.59 121 $2,144.63 $94,388 2023-2024 1 $240.57 120 $92,018.59 121 $2,144.63 $94,404 2025-2026 1 $580.94 120 $92,018.59 121 $2,144.63 $94,744 2027-2028 1 $465.84 120 $92,018.59 121 $2,144.63 $94,629 2029-2030 1 $312.09 120 $92,018.59 121 $2,144.63 $94,475 2031-2040 1 $427.26 19 $14,569.61 20 $10,723.15 $25,720 2021-2040 6 $2,252 619 $474,663 625 $21,446 $498,360
  • 54. Statewide Results Slide 54 $ Millions Period Unpaved Paved Bridges Total 2021-2022 $ 611.08 $ 388.46 $94 $ 1093.54 2023-2024 $ 602.19 $ 406.97 $94 $ 1103.16 2025-2026 $ 616.21 $ 304.56 $95 $ 1015.77 2027-2028 $ 615.89 $ 264.53 $95 $ 975.42 2029-2030 $ 602.76 $ 222.20 $94 $ 918.96 2031-2040 $ 3,087.97 $ 1,081.77 $26 $ 4195.74 2021-2040 $ 6,136.10 $ 2,668.49 $498 $ 9302.59
  • 56. Tracking of Comments/Responses • As per 2014 Method. pg. 56
  • 57. Draft Document on Webpage pg. 57
  • 58. Comment Process • Contact info – Email submittal preferred • ndsu.roadneeds@ndsu.edu • Responders will be Tim Horner, Dale Heglund, Brad Wentz or Alan Dybing Slide 58

Editor's Notes

  1. Brad Review provide map
  2. Brad Review provide map
  3. Brad Review provide map
  4. Brad Review provide map
  5. Brad Review provide map