IBR: Forecasting the impossible

The case for the $7.5 billion Interstate Bridge Replacement project is based on deeply flawed traffic models that ignore the bridge’s capacity limits, and predict plainly unrealistic levels of traffic growth if the bridge isn’t expanded.  These grossly overestimated projections make future traffic look worse and overstate the need and understate the environmental and financial costs associated with freeway expansion.

The current I-5 bridge can carry no more than 5,000 vehicles northbound in the afternoon peak hour.  All of the available statistics, and every one of the experts that has looked at the bridge has concluded that it is already operating at its maximum capacity.

But, Metro’s regional travel demand model, Kate, pretends that the bridge now carries more than 6,200 vehicles per hour–a thousand more cars and trucks per hour than can actually fit across the bridge.

And the Kate model, used for the IBR environmental analysis, makes the  absurd prediction that peak hour PM traffic will increase further beyond its capacity—even if the IBR project isn’t built.

And IBR officials altered the outputs of the Metro model to produce an event higher—and more preposterous–prediction that the “No-Build” version of the bridge would somehow carry 6,900 vehicles per hour in the northbound peak in 2045. 

Forecasting the impossible

IBR traffic modeling is blind to the real capacity limits on the I-5 bridges; this is a common flaw in the kind of “static traffic assignment” models that Metro and IBR used;

Models that don’t accurately account for capacity limits are broken, and worthless for analyzing traffic conditions and deciding how to spend billions of dollars.  But the Oregon and Washington highway departments have chosen to use these flawed models to sell an oversized bridge.

These over-estimates-pretending that traffic volumes wildly exceed actual capacity are a critical gimmick for falsely portraying what happens if the $7.5 billion Interstate Bridge Replacement Project isn’t built.  They’re critically a way of hiding the “induced travel” that will come if the bridge is expanded:  by pretending that traffic will increase whether or not the I-5 highway is widened, IBR officials are concealing the pollution and traffic that comes from wider roadways.

The decision to use a traffic model that ignores the capacity constraints on the existing I-5 bridges exaggerates future traffic growth and congestion, and falsely conceals the negative environmental effects associated with a wider crossing.  Using an inaccurate, unscientific model, blatantly violates the National Environmental Policy Act.

The most obvious feature of the existing I-5 bridges over the Columbia River is the two narrow three-lane wide structures that carry highway from bank to bank.  There are just so many vehicles that can be fitted into these lanes.  The traffic data–confirmed by every expert that has looked at the bridge–is that the maximum peak hour capacity of the bridge has been reached, and can’t increase further.  For example, afternoon peak hour crossings on the bridge have been stuck at less than 5,000 vehicles per hour for the past two decades.

In spite of this obvious and well-documented limitation, Metro’s Kate travel demand model, which is the basis for the IBR’s environmental analysis, asserts that even if nothing is done, more and more cars will cross the bridge at the peak hour each year.  In fact, as we’ve documented previously, Metro’s Kate model—the basis for IBR traffic projections–simply fails to correctly estimate even the current levels of traffic on the I-5 bridges, assigning nearly 20,000 more daily trips to the bridges than they actually carry.

The problem of these over-estimated volumes is most acute for the peak hour.  Metro’s Kate model over-estimates the current level of traffic on the bridge–asserting that it carries over 6,000 vehicles per hour in the Northbound PM peak, even though traffic data show that flows are always less than 5,000 vehicles per hour.

The problem here is that Metro’s model simply fails to realistically account for the physical limits on traffic flow on the bridge.  The model creates a fictional alternative reality where the bridge somehow carries more and more peak hour traffic–even though the data, and the modelers themselves admit the bridge has long since reached its capacity.

Metro’s flawed Kate Traffic model predicts traffic exceeding capacity–an impossible outcome.

That inflated “no-build” estimate is a critical foundation of the phony case being made for expanding the I-5 bridges.  By exaggerating peak hour growth if nothing is done, the model makes it appear that traffic will be worse than it will actually ever be.  In addition, because environmental analyses use this exaggerated no-build traffic level (and resulting pollution) as their basis for comparison, they create the false perception that the “build” alternatives (which add massive amounts of road capacity) won’t stimulate additional trips, vehicle miles of travel, and pollution.

The Interstate Bridge Replacement (IBR) project, with its multi-billion dollar price tag, is founded on traffic projections that defy physical reality. This discrepancy between modeled predictions and actual capacity raises serious questions about the project’s justification and potential environmental impacts.

The I-5 Interstate Bridge is at capacity, and can’t add more traffic

All experts—and IBR—agree the I-5 bridges are at capacity at peak hours.  Every analyst who has looked at the I-5 bridges has concluded that they are effectively carrying as many vehicles per hour during peak periods as is possible.

  • Traffic count data show that PM peak hour volumes have been steady for the past twenty years.
  • Afternoon northbound peak hour volumes have been stuck at less than 5,000 vehicles per hour since 2000.
  • The project’s Environmental Impact Statement concedes that the maximum hourly capacity of the I-5 bridges is no more than 1,850 v/l/h or about 4,550 vehicles per hour (IBR Traffic Technical Report, Appendix A, Transportation Methods Report.).
  • IBR forecast officials explain that traffic levels on I-5 have grown more slowly than on I-205, “due to capacity constraints and extensive congestion over the Interstate [I-5] Bridge.” 
  • CDM Smith, the national traffic expert hired by ODOT and WSDOT in 2013 to forecast traffic concluded, “Traffic under the existing toll-free operating condition on the I-5 bridge reached nominal capacity several years ago, . . .  The I-5 bridge has little or no room for additional growth in most peak periods.”

In spite of the universal agreement that the current bridges are at peak capacity during rush hours, Metro’s model claims that peak hour volumes will continue to increase even if nothing is built.  Let’s focus on the afternoon rush hour—northbound traffic from Portland to Vancouver, between 4 and 6 pm—the period of maximum daily traffic congestion.  State traffic count data show that about 4,800 vehicles crossed the I-5 bridges in the afternoon peak hour Northbound each day in 2019.  But Metro’s traffic model, Kate, which is the basis for IBR’s justification, and environmental analysis makes a false claim that more than 6,000 vehicles crossed the I-5 bridges northbound in the PM peak hour.

Projected peak hour  exceed physical capacity

The Metro model, which forms the basis of IBR’s planning, consistently predicts peak traffic levels on the I-5 bridge that exceed its demonstrated physical capacity of the bridge.

1. Current Capacity: The I-5 bridge can carry approximately 5,000 vehicles northbound in the PM peak hour, as evidenced by traffic count data. Here is a typical chart from IBR.  Maximum northbound traffic flows at 5pm were 4,810 vehicles.

 

2. Model Overestimation: Metro’s “Kate” model claims current traffic is currently (2019) over 6,290 vehicles per hour and predicts this will increase slightly to 6,375 by 2045.  Here is a screenshot of an Metro Excel spreadsheet summarizing the peak hour volumes for I-5 in 2019.  Northbound volumes for single occupancy cars, multiple occupancy cars, and medium and heavy trucks are highlighted and total 6,290 vehicles in the PM peak hour in 2019:

Metro spreadsheet obtained by public records request.  Highlighting not in original.  PM peak hour volume of 6,290 is the sum of 4,964 single occupancy cars, 1,011 multiple occupant cars, 240 heavy trucks and 76 medium trucks.

3. IBR’s Inflated Growth Estimates:  Consultants for the Interstate Bridge Replacement project altered the estimated traffic levels from Metro “Kate” model, something they call “post-processing.”  They recognized that Metro’s Kate model over-estimated current (2019) NB peak hour traffic levels–which they lowered to 5,740 vehicles from Kate’s 6,290.  The 5,740 figure still greatly exceeds actual traffic counts.  But while Metro’s Kate model allowed almost no growth in peak traffic in the No-Build through 2045, IBR’s “post-processing” allowed growth in the No-Build to increase to 6,905 vehicles per hour–more than 2,000 vehicles per hour beyond the actual physical capacity of the bridge.

IBR traffic modeling presentation, obtained by public records request (detail).  March 30, 2022, Slide Number 21.

In sum:  the IBR’s claims about peak hour traffic don’t mesh with actual data from traffic counts.  The Metro Kate Model and IBR “post-processed” data over-state current traffic levels significantly.  Both models assume that peak hour traffic will grow further in excess of capacity, and IBR’s “post-processing” while partly correcting for base year over-estimates, has an even higher predicted growth rate. These projections are not just optimistic; they are physically impossible given the current infrastructure.

As traffic expert Norm Marshall says, models like these that fail to recognize capacity limits are “Forecasting the Impossible.”  He explains Static Traffic Assignment modeling technique used by Metro and IBR

. . . allows modeled traffic volumes to exceed capacity. This misrepresents traffic not only on the over-capacity segment, but on downstream segments that the excess traffic could not really reach because it either would divert to other routes or be queued upstream.

Marshall, N. “Forecasting the impossible: The status quo of estimating traffic flows with static traffic assignment and the future of dynamic traffic assignment,” Research in Transportation Business and Management, https://doi.org/10.1016/j.rtbm.2018.06.002

Violating Federal Highway Administration guidance

Transportation experts have long known that failing to realistically account for capacity limits leads traffic models to grossly over-estimate traffic growth.  The Governmental Accountability Office and the National Academy of Sciences have both criticized this limitation of the traffic models of the type used by Metro and IBR.  The Federal Highway Administration (FHWA) explicitly requires that demand estimates realistically account for capacity limitations.

“Constraining demand to capacity. . . care must be taken to ensure that forecasts
are a reasonable estimate of the actual amount of 
traffic that can arrive within the analytical period . . .

Regional model forecast are usually not well constrained to system capacity”

IBR clearly hasn’t taken care to assure its forecasts predict only as much traffic as the roadway can handle.  The current modeling approach violated FHWA guidance, raising questions about the validity of the entire planning process.

Implications of overestimated peak hour traffic

Correctly estimating future peak hour traffic levels are the critical planning parameter for this project.  The consequences of IBR’s  inflated peak hour traffic projections are far-reaching:

1. Unjustified Expansion: By predicting traffic levels that exceed capacity, the model artificially creates congestion scenarios used to justify expanding freeway capacity.

2. A Distorted Environmental Assessment: Overstating traffic in the “no-build” scenario leads to an underestimation of the environmental impacts of the “build” option, potentially violating NEPA requirements. By exaggerating traffic and congestion in the “no-build” scenario, the IBR understates the true enviornmental effects of the build scenario.

3. Ignoring Historical Trends: The models disregard the fact that peak hour I-5 bridge traffic has not increased since 2005 due to existing capacity constraints, a point acknowledged by IBR itself.

IBR uses the euphemism “demand volumes” to hide its predictions that traffic will exceed capacity

IBR uses the term “demand volumes” to describe traffic levels that exceed physical capacity.   This is a euphemism to conceal the fact that these are not predictions of actual levels of travel, but are modeled predictions of the number of vehicles that might use the bridge if there were no capacity constraints.  The Metro RTDM model allows predicted traffic levels to exceed highway capacity.  The SDEIS repeatedly uses the term “demand volumes” in its Purpose and Need Statement (two instances) and in its Traffic Analysis (four instances).  This terminology allows for projections that exceed physical capacity, but it’s a concept at odds with reality. In practice, traffic demand is always constrained by available capacity.

False models are no basis for multi-billion dollar decisons

The IBR project’s reliance on traffic projections that exceed physical capacity undermines its credibility and raises serious questions about its necessity and environmental impact. As stewards of public resources and our environment, we must demand planning based on reality, not inflated projections.

It is imperative that the IBR team address these discrepancies and provide a clear, factual basis for their projections. Without this, we risk allocating billions of dollars to a project that solves imaginary problems while potentially creating real environmental and fiscal issues.

The future of our regional transportation system and the responsible use of public funds depend on a honest, data-driven approach to infrastructure planning. It’s time for the IBR project to align its projections with reality and provide the transparent, accurate analysis that the public deserves.

Kate: Metro’s wildly inaccurate model overstates current traffic levels

The case for the $7.5 billion Interstate Bridge Replacement Project is based on traffic projections from Metro’s “Kate” travel demand model.  But there’s a huge problem:  Kate doesn’t accurately model even current levels of traffic. 

The model has a high overall error factor, and importantly, consistently over-estimates traffic on the existing I-5 bridges. 

Metro has prepared a validation report—not published on its website—showing the Kate model assigns vastly more traffic to I-5 than actually use the bridge. 

The model essentially adds 20,000 non-existent cars and trucks to I-5 each day in 2019—more than 6 million vehicles annually. 

The Metro forecast prepared for the Columbia River Crossing showed the same problems, over-predicting traffic growth by a factor of four between 2005 and 2019.  The model claimed growth would be 1.3 percent per year; the reality was 0.3 percent growth.

Ironically, Oregon and Washington have paid private sector firms to develop much more accurate models of regional traffic–but they’ve excluded these more realistic models from the IBR environmental impact statement–in likely violation of the National Environmental Policy Act.

An indispensable part of the sales pitch for wider highways is the seemingly precise and statistically intimidating results of computerized travel demand models.  These models purport to predict, with great certainty, future traffic levels decades from now.  In the hands of state highway departments, such models are routinely used to “prove” that traffic is increasing inexorably, that if nothing is done, congestion will become intolerable, and paradoxically, that wider roads won’t actually stimulate any more traffic.  In reality, the models are an intimidating fiction, like the Wizard of Oz’s flaming avatar, designed to frighten and cajole.  And just as in Oz, the real manipulation is being done by the man behind the curtain.

The man behind the curtain is operating Metro’s “Kate” travel model.

In the high-stakes game of justifying multi-billion dollar infrastructure projects, traffic forecasts are a computer-driven trump card for project proponents. Traffic modelers use complex and impenetrable computer models to generate seemingly precise estimates of future traffic levels, which they use as a cudgel to push for over-sized highways.  But a close look at the models shows that they are biased and wrong, and systematically over-state traffic, not just in the future by now.  Metro’s much-hyped “Kate” regional travel demand model dramatically over-estimates current levels of I-5 traffic, as well as projecting physically impossible growth in future years.  The Interstate Bridge Replacement (IBR) project offers a textbook case of modeling gone awry, with potentially far-reaching consequences for taxpayers and the environment.

Kate doesn’t accurate describe the present, and can’t predict the future

At the heart of the IBR’s justifications lies Metro’s regional travel demand model–dubbed “Kate.” But our analysis reveals that Kate has a penchant for fiction especially when it comes to I-5 bridge traffic.

Poor Calibration.  The test of a model is whether it can accurately reflect reality.  For transportation models, professionals talk about “calibration” whether the predictions of the model match actual real world traffic counts.  Metro’s Kate Travel Demand model has a high overall error factor.  We measure overall modeling error using a statistical metric called “Room Mean Squared Error”—RMSE—which tells how far off the overall model is in matching actual data.  Metro’s Kate model has a RMSE of 14.5 percent, meaning that on average, the model gets current traffic levels right within only about a 15 percent margin.  Keep in mind that calibration asks whether a model can accurately predict current traffic levels.  Importantly, the 14.5 percent RMSE for the Metro model is much higher than for other Portland area transportation modeling efforts.  Here’s a table showing the RMSE for several other models.

Comparison of Travel Demand Model Validation
Model (Year) Calibration Year Scope Metric Error (RMSE)
Metro/Kate (2017) 2015 32 Regional Cutlines AWDT 14.5%
Stantec/IBR Level 2 (2023) 2015 32 Regional Cutlines AWDT 2.5%
CDM Smith/CRC IGA (2013) 2010 11 Regional Cutlines Hourly 2.5%
CDM Smith/CRC IGA (2013) 2010 I5, I205 Bridges Hourly 0.8%

The other models shown here, which cover the same geography as the Kate model, have RMSE error factors of less than one percent to two-and-one-half percent.  That means the error factor in the Kate model is six to fifteen times larger than for these other models.  Metro’s Kate model is demonstrably less accurate and less well-calibrated than other models.  Yet IBR officials have chosen to rely on Kate in their environmental analysis.

Overestimation: As bad as it is in predicting overall traffic levels in the region, Kate is demonstrably worse in predicting traffic on the bridges across the Columbia River.  Kate consistently overestimates traffic on the I-5 bridge, by almost  20 percent. In 2019, for instance, the Kate model says there were  164,500 average weekday trips across the I-5 bridge. The reality? A much more modest 138,530, according to ODOT’s own traffic recorders.

Estimates of Calendar year 2019, Average Weekday Traffic, I-5 Bridge

Source Estimate Error
ODOT, Traffic Count data 138,530 0
Metro, Kate Travel Demand Model 164,500 +18.7%

This fact is buried in a technical report—not published on Metro’s website—which shows that the Kate model dramatically overstates the current level of traffic.  This shows the model is poorly calibrated and can’t even reflect current reality—much less accurately predict the future.

Exaggerated Growth Rates:  Kate is the just the latest version of Metro’s traffic-inflating models.  Kate’s predecessor “Ivan” predicted that if the Columbia River Crossing project (the predecessor to IBR) weren’t built (spoiler—it wasn’t) that I-5 bridge traffic would grow at a rapid  1.3% annual growth rate from 2005 to 2030. The actual growth rate from 2005 to 2019? A paltry 0.3% per year. Metro’s travel model predicts four times as much traffic growth as actually occurred:  That’s not just missing the mark; it’s not even in the same ballpark.  The current Kate model also wildly over-estimates future traffic growth.

Millions of Phantom Cars and Trucks: The discrepancy between Kate’s predictions and reality isn’t just a statistical anomaly. It translates to over 20,000 “phantom” vehicles per day that exist only in the model’s imagination. That’s more than 6 million non-existent trips per year.

A better calibrated model produced dramatically different results

While IBR officials take pains to paint the “Kate” travel demand model as an objective, scientific mechanical predictor, its actually anything but.  The complex system of equations that compose the model depend on settings and inputs chosen by modelers.  In this respect, its not unlike an Excel spreadsheet:  If you enter different numbers in one cell, you get different results elsewhere.  Other modelers, starting with the same Metro Regional Travel Demand model, plugged in different parameters, and produced a vastly more accurate forecast of I-5 traffic growth.  In 2013, Oregon and Washington DOTs paid modeler  CDM Smith model, commissioned for an investment-grade analysis of the Columbia River Crossing, tells a different story. After recalibrating Metro’s model, CDM Smith’s predictions aligned much more closely with reality, forecasting a 0.3% annual growth rate that matches observed data.  More recently, IBR hired Stantec to produce a version of the model to estimate toll revenues; it too is vastly more accurate than the Metro model. (See Table above).  The big question for public officials–and ultimately the courts–is why are ODOT and WSDOT using a model with a vastly larger error factor to plan a multi-billion dollar project, instead of more accurate models Oregon and Washington have already paid for?

Biased traffic projections to justify a bloated project

Why does this matter? Because these inflated numbers are being used to justify a massive, expensive project. The supposed reason that $7.5 billion in wider highway lanes and rebuilt interchanges are needed is to accommodate phantom traffic that exists only in the model.  More realistic traffic projections would enable a much cheaper, less environmentally devastating project.  By overstating current traffic and future growth, the IBR project is:

  • Exaggerating the need for expanded capacity
  • Potentially overbuilding infrastructure at taxpayer expense
  • Understating the environmental impacts of the “build” alternative by comparing it to an inflated “no-build” scenario

Concealing Kate’s inaccuracies

Metro and IBR staff are aware of the problems with the “Kate” model, but have largely buried information about its bias and inaccuracy in other technical documents.  Metro produced a “validation” report for Kate in 2017, but does not publish this crucial document on its website.  For those who want to see the report, we’ve attached a copy we obtained via public records request below.  And despite these glaring issues, Metro and the IBR continue to use the poorly calibrated Kate model “for planning purposes.” It’s hard not to conclude that they prefer these higher forecasts because they justify a larger project and conceal the travel-inducing effects of expanded capacity.

When questioned about these discrepancies, one can almost hear the IBR planners channeling the Great and Powerful Oz: “Pay no attention to that man behind the curtain!” But unlike in the movie, the wizard behind IBR’s curtain isn’t a harmless humbug. Instead, it’s a flawed modeling process with the potential to waste billions in taxpayer dollars and reshape our region’s transportation landscape based on fantasy rather than fact.

Time for a reality check

The IBR project is betting billions of taxpayer dollars on traffic forecasts that don’t stand up to scrutiny. It’s time for a reality check. We need:

  • An independent audit of the traffic modeling proces
  • Transparent reporting of model inputs, assumptions, and output
  • A reevaluation of the project’s scope based on realistic traffic projections

Until then, the IBR project risks building a bridge to nowhere – or more accurately, a bridge to a future that exists only in the realm of faulty models and phantom traffic. It’s time to pull back the curtain and expose this “wizard” for what it really is: a collection of flawed assumptions and inflated projections masquerading as a scientific process.

Appendix:  2017 Kate Validation Report

Here is a copy of Metro’s “2017 Kate v1.0 Trip-Based Demand Model Validation Report for Base Year 2015.”  This report does not appear on the Metro website (oregonmetro.gov).  The report is still marked “DRAFT” years later, and no “final” version has ever been released.

Kate_Validation_Report_August2017

The Interstate Bridge Project’s Flawed Traffic Data

The Interstate Bridge Replacement Project simply can’t tell the truth about current traffic levels or recent growth rates.

IBR reports inflate the current level of traffic on I-5 bridges by nearly 5,000 vehicles per day

IBR reports falsely claim that I-5 bridge traffic is growing twice as fast as ODOT’s own data show

IBR officials have exaggerated traffic levels and traffic growth rates to try to sell an over-sized, over-priced project.

It’s important to note that this is actual, recorded data, gathered by the Oregon Department of Transportation, and published on its traffic counting website.  If IBR officials can’t be trusted to accurately report current and historical data, and when they instead choose to inaccurately inflate traffic counts and claim traffic is growing twice as fast as their own data show, it raises serious concerns about whether they can be trusted to accurately project future traffic levels–a process that is inherently more difficult, and critically, largely shrouded from public view.

The Interstate Bridge Replacement (IBR) project, a massive $7.5 billion undertaking to replace the I-5 bridges over the Columbia River, is built on a foundation of questionable traffic projections. As we’ve seen time and again with megaprojects, errors in traffic modeling can lead to overstated needs, financial boondoggles, and understated environmental impacts. The IBR project seems to be following this well-worn path.

The importance of getting traffic numbers right

Traffic counts and modeling aren’t just a technical exercise—they’re the cornerstone of the entire project. Traffic levels define the need, justify the size, evaluate alternatives, and determine financing.  Understanding present and future traffic levels are also crucial for assessing environmental impacts. As the Federal Highway Administration notes, “travel and land use forecasting is integral to a wide array of corridor and NEPA impact assessments and analyses.” In other words, if the traffic forecasts are wrong, the entire environmental impact assessment is compromised.  Current traffic data and recent traffic growth trends need to be accurate in order to create accurate forecasts of future activity–and IBR officials have exaggerated traffic levels and traffic growth to sell their project.

IBR can’t even report current traffic count data accurately

One would think that counting cars on a bridge would be straightforward. Yet, the IBR project can’t seem to agree with itself—or with the highway department’s own  traffic recorders—on how many vehicles cross the I-5 bridge daily.

The IBR has variously claimed 142,400 or 143,400 vehicles per average weekday in 2019. Meanwhile, ODOT’s automatic traffic recorder reports 138,780 per day for the same year. That’s a discrepancy of up to 4,620 vehicles per day—not exactly a rounding error when you’re justifying a multi-billion dollar project.

Average weekday traffic for each month in 2019  is shown in second column of the right-hand panel of this table, downloaded from ODOT’s own traffic reporting website.  The average weekday traffic for the twelve months January through December 2019 is 138,780 vehicles per weekday.

This isn’t the first time ODOT and WSDOT have played fast and loose with traffic numbers. During the Columbia River Crossing project from 2008 to 2011, they overstated 2005 traffic levels —a fact they were forced to admit in federal court.

IBR exaggerates recent traffic growth

Not only does the IBR technical work get recent traffic levels wrong, it also grossly overstates the rate of growth in traffic across the I-5 bridge.  The study focuses on the four-years prior to the pandemic—2015 to 2019.  The IBR’s “Level 2” traffic study claims traffic on the I-5 bridge increased by 1.1 percent annually between 2015 and 2019. However, ODOT’s own official data shows the actual growth rate was only 0.55%—half of what the IBR claims. This isn’t just a minor discrepancy; it’s a fundamental misrepresentation of traffic trends that could significantly impact the project’s justification and design.

The inaccurate traffic count data leads the Stantec Level 2 study to overstate the recent rate of growth across the I-5 bridges.  The Level 2 study claims that between 2015 and 2019, traffic increased by 1.1 percent per year. 

The average weekday river crossings along the I-5 and I-205 Bridges since 2015 are presented in Figure 2-6. Between 2015 and 2019, the traffic on the I-5 Interstate Bridge increased at an annual rate of approximately 1.1% . . .
Stantec, Level 2 Report, page 2-9

According to the average weekday traffic data reported on the ODOT automatic data recorder website, the actual rate of increase was only half as much—0.5 percent.   We examined actual data reported on ODOT’s website (https://www.oregon.gov/odot/data/pages/traffic-counting.aspx) for the Automated Traffic Recorder for  the I-5 Interstate Bridge.  In 2015, average weekday traffic was 135,696 vehicles per day.  In 2019, average weekday traffic was 138,700 vehicles per day.  This represents an annual rate of increase of 0.55 percent per year, half the rate claimed in the Stantec Report.

The difference in growth rates is a crucial point that highlights potential issues with the IBR project’s traffic projections.  The failure to accurately report recent traffic growth has important implications and consequences:

    • The IBR’s claimed growth rate is twice the actual rate based on official ODOT data.
    • This discrepancy is significant because growth rates are often used to project future traffic volumes, which in turn justify the need for and scale of transportation projects.
    • Overestimating the growth rate leads to inflated projections of future traffic.
      • This could result in overbuilding infrastructure, wasting public resources, and potentially creating unnecessary environmental impacts.
      • It might also affect the financial viability of the project, as toll revenue projections are based on these inflated growth rates.

This difference in growth rates is not just a minor statistical quibble. It represents a fundamental issue with how the IBR project is analyzing and presenting traffic data. If the project is consistently overestimating traffic growth, it could lead to a significantly oversized and more expensive project than what is actually needed. This highlights the need for transparent, accurate, and verifiable traffic data and projections in planning such a massive infrastructure project.

With a price tag of up to $7.5 billion, the IBR would be the most expensive transportation project in the region’s history. It’s crucial that decisions about such a massive investment are based on accurate, consistent data. Yet, what we’re seeing is a pattern of inflated numbers, inconsistent baselines, and opaque methodologies. The discrepancies and inconsistencies in the IBR’s traffic modeling raise serious questions about the project’s foundation. If we can’t trust the basic traffic counts, how can we trust the complex projections built upon them?