needs study of north dakota roads and bridges status report
TRANSCRIPT
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Needs Study of North Dakota Roads and Bridges
Status Report
Interim Economic Impact Committee
February 3, 2014
Upper Great Plains Transportation Institute
North Dakota State University
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Study Goals
• Use improved data, traffic projections, and
modeling techniques to improve on prior
studies
• Better forecast of statewide investment
needs for county and township roads and
bridges, by biennium, for next 20 years
• Complete related work by late June 2014
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Study Process
• Data collection on existing paved & gravel
roads and bridges
• Data analysis
• Modeling - project future use (volumes &
types)
• Project short- and long-term needs and
costs
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Coordination
• NDDOT
• North Dakota Association of Counties
• North Dakota Township Officers Association
• Industrial Commission - Oil & Gas Division
• North Dakota Petroleum Council
• North Dakota Agricultural Commodity
Groups
• Kadrmas, Lee & Jackson
• Others
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Data Collection - Completed
• County & township cost surveys
• Traffic counts – volume & vehicle types
• Ride quality – NDDOT Pathways van
• Structural pavement data - falling weight
deflectometer (FWD) and ground
penetrating radar (GPR)
• Traffic projections – oil & agriculture
• Roadway maintenance cost projections
• National Bridge Inventory data sets
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Data Collection – Traffic Counts
• Traffic counts – volume and
classification data on county and
township roads for travel demand
models and ESAL (equivalent single axle
load) calculations:
o Joint collection - NDDOT staff and NDSU
students
o Number of counts taken - 1000+
o Number of classification counts – 670
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2013
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Data Collection – Structural Data
• Falling weight deflectometer (FWD) and
ground penetrating radar (GPR)
o Verify prior estimates on subgrade strength
and pavement/base layer thickness
o Western ND – test all pavements not recently
improved
o Eastern ND – selected based on agricultural
production facilities and other major traffic
generators
o 1560 miles tested
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Data Collection – Cost Projections
• Gravel costs & production techniques
• Placement costs
• Transportation & placement costs
• Dust suppressant costs
• Intermediate practices
o Stabilization armor coat
o Double chip seal/armor coat
o Others
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Traffic Modeling Goals
• Update and enhance county and local
roads traffic projection model developed
for the 2011-13 legislative study
• Expanded data sets and enhanced models
will facilitate better need and cost
projections
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Traffic Modeling Tools
• CUBE o Used to analyze impacts of various operating
conditions & infrastructure improvements - study is utilizing 20 subset models
• Highway Performance Monitoring System (HPMS) o Used to predict road & bridge deterioration and
subsequent maintenance & rehabilitation needs
• Highway Economic Requirements System (HERS-ST) o Identifies infrastructure deficiencies & selects most
cost-effective mix of improvements
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Traffic Projections
• Oil
o Multiple discussions with Oil & Gas Division
o Well sites, sand locations, & transload facilities
• Agriculture
o Statewide grain elevator shipment data
o Forecasts of crop types and yields
• Passenger
• Manufacturing
• Through traffic
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Oil – Drilling Process Trucks per Well Inbound or Outbound
Sand 100 Inbound
Water (fresh) 450 Inbound
Water (waste) 225 Outbound
Fracturing tanks 115 Both
Rig equipment 65 Both
Drilling mud 50 Inbound
Chemical 5 Inbound
Cement 20 Inbound
Pipe 15 Inbound
Scoria/gravel 80 Inbound
Fuel trucks 7 Inbound
Frac/cement pumper trucks 15 Inbound
Workover rigs 3 Both
Total trucks 2,300
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Oil Well Shipment Projections
• Wastewater
• Outbound oil to pipeline locations or
transload facilities
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Oil Exploration Traffic Projections
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Agricultural Shipment Projections
Crop production
Elevator & plant demands
Known
Known
Truck trips and routes Predict
Segment specific traffic Estimate
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Crop Production and Location
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Crop Movement Projections - Canola
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Modeling - Road Maintenance
• Life-cycle cost analysis -
graveling and blading
o Normal levels (regraveling every
5 years, blade 1/month)
o Increased levels (regraveling every 3-4 years, blade 2/month)
o High levels (regraveling every 2-
3 years, blade 1/week)
o Usage of dust suppressant on
impacted roads
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Gravel Road Projections
• Intermediate improvements
o Graveling and base stabilization
o Graveling and base stabilization with armor
coat
o Others as reported at the county level
• Asphalt surfacing
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Gravel Road Projections
• Traffic model segmented based on traffic levels
• County-specific practices used as the base
maintenance practices
• Life cycle costs calculated (i.e. 20-year cost of graveling)
• Maintenance type/improvement selected for AADT
(annual average daily traffic) class based on minimum
life cycle cost
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Pavement Projections
• Pavement deterioration and recommended improvement process
o Estimate remaining life given
current condition and traffic levels
• Verify past assumptions on layer thickness and subgrade strength
• Apply traffic projections and
present serviceability rating
o Determine recommended improvements and costs based on
width, starting condition, and future
traffic estimates
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Bridge Analysis & Projections
• 2,593 bridges on county/local system
o 45% (1,167) more than 50 years old
(theoretical design life)
o 20% (519) more than 70 years old
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Bridge Analysis & Projections
• Condition/appraisal data from National Bridge Inventory
o 568 (22%) structurally deficient – one or more
components rated in “poor” condition (not
inherently unsafe, but needing attention)
o 196 (8%) functionally obsolete – not
designed to carry modern traffic volume,
speed, size or weight
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Bridge Analysis & Projections
• Current Needs
o Criteria for rehabilitation/replacement
based upon FHWA criteria and discussions
with NDDOT personnel
o Short span bridges to be replaced by box
culverts
o Replacement unit cost based upon recent
county bridge projects
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Bridge Analysis & Projections
• Preventive Maintenance
o Project cyclical maintenance cost required
for preservation of bridge investment
o Maintenance model developed using
feedback from counties, NDDOT, NCPP, and
FHWA best practices:
o Treatments
o Intervals
o Annualized cost
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Bridge Analysis & Projections
• Future Needs
o Apply deterioration models to forecast
deck/superstructure/substructure condition
o Forecast year of rehabilitation/replacement
o Short span bridges to be replaced by box
culverts
o Bridge closings will not be predicted -
closings at the discretion of local road
authority
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Study Timeline Task Start Date Completion Date
Assumptions data collection August 2013 August 2013
Jurisdictional data collection June 2013 September 2013
Road condition assessment
July 2013 September 2013
Traffic counts June 2013 October 2013
Cost & practices survey
August 2013 October 2013
Non-destructive testing
July 2013 November 2013
Roadway & bridge analysis, modeling, & projections
Fall 2013 May 2014
Final report June 2014
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Study Outputs
• Needs – by biennium for next 20 years
oRoads
–Statewide
–By county
–By surface type
oBridges
–Statewide
–By county
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Study Outputs
• Final report – data available via web for local road
authorities, contractors, general public, etc.
o Condition assessment
o Traffic counts
o Enhanced roadway data
o Cost projections
• Significant enhancements over 2011-13 study
• Extremely complex – tight timeframe
• On schedule
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NDSU-UGPTI Study Team
• Denver Tolliver – UGPTI Director
• Alan Dybing – Associate Research Fellow – Traffic modeling/HERS-ST modeling
• Tim Horner – Program Director – Pavement/bridge costing & project coordination
• Brad Wentz – Program Director – Pavement condition, traffic data, & county scenarios
• Andrew Bratlien – Transportation Research Engineer – Non-destructive testing & bridge deterioration
• Pan Lu – Associate Research Fellow
– Bridge condition, deterioration, & forecasting
• Jon Mielke – Program Administrator
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Questions?
Denver Tolliver
701-231-7190
Updates and background posted at
www.ugpti.org/