Understanding Traffic Response to Tolling: Insights from Research

 
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Deny Sullivan
 
 
HALIFAX
 | 
13
 December 2023
 
Who We Are
 
2
 
Our Clients
 
3
 
 
 
Research Question
 
How does traffic respond to the start (or end) of road user charging?
 
The Investor’s question:
How much traffic/revenue will be lost once the road is tolled?
 
 
The transportation planner's question:
How might tolls reduce congestion and infrastructure needs?
 
 
4
 
Background: Price Elasticity
 
Price elasticity has a literature
 
Vehicle traffic is inelastic on the
margin (-0.1 to -0.3)
 
Spoiler: Tolling impacts are
large vs. elasticity
“power of free”
 
5
 
Background: Traffic Modelling
 
Traffic models are
imprecise
Sound familiar?
 
Traffic models rely on
complex interactions of
inputs and assumptions
 
6
 
Data Collection
 
Public toll road data is rare
 
Collected data from:
Media articles
Government reports
Academic / practitioner research
Traffic counts / client data
 
7
 
Dataset
 
56 data points across 14 countries
 
8
 
Bridge
Cordon
Road
Tunnel
 
Distribution of results
 
Traffic declines from tolling often range between -20% and -45%
 
9
 
-18%
 
-46%
 
-28%
 
Median
 
Summary statistics
 
Modest differences by facility & geography type, but 
wide variation
everywhere
 
10
 
It’s about time
 
Drivers do cost-benefit calculations
when deciding to use toll roads
 
 
High tolls vs. time saved will decline
most from tolling (or vice-versa)
Testing for this has issues…
 
11
 
“Cost per Minute Saved” Illustration
 
Where did the cars go?
 
Carpooling
Change of route
Spain always has a toll-free parallel road
Change of mode
London congestion boosted bus traffic 30%
Change of destination
Sanibel Causeway in Florida attracting weekend beach-goers
Trip destruction
Seattle SR-99: Half of the decline in traffic not seen on other roads or buses
 
 
 
 
12
 
Conclusions
 
Investors should be cautious investing in “about to be tolled” facilities
…and governments should not auction roads until they are tolled
 
Many drivers on the road are not willing to pay directly to use the
road
 
Congestion pricing could have greater effects than expected
Tolling is usually set for cost-recovery
 
 
13
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Exploring how traffic reacts to road user charging, this study investigates the impact of tolling on traffic flow and revenue. With a focus on price elasticity and traffic modeling, the research examines the complexities of toll implementation and its effects on congestion and infrastructure needs. Data collection from various sources across different countries provides valuable insights into the behavior of traffic in response to tolling schemes.


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  1. How does traffic respond to tolling? Deny Sullivan HALIFAX | 13 December 2023

  2. Who We Are Robert Bain Sylvain Senechal Ben Cimon Deny Sullivan Focus: Commercial/Technical Due Diligence of Road + Rail Economist/Modeller (BA/MA Econ.) Engineer (PhD/CEng) Modeller (MBA/CFA) Economist (BSc Finance/CFA) Ex-Standard & Poor s Ex-Brookfield London-Based Ottawa-Based Halifax-Based Strong Financial-Sector Backgrounds Prepare/Review Demand & Revenue Forecasts International Clients & Projects (top-20 infra investors) Expert Witness: Litigation & Arbitration 2

  3. Our Clients 3

  4. Research Question How does traffic respond to the start (or end) of road user charging? The Investor s question: How much traffic/revenue will be lost once the road is tolled? The transportation planner's question: How might tolls reduce congestion and infrastructure needs? 4

  5. Background: Price Elasticity Price elasticity has a literature Vehicle traffic is inelastic on the margin (-0.1 to -0.3) Spoiler: Tolling impacts are large vs. elasticity power of free 5

  6. Background: Traffic Modelling Traffic models are imprecise Sound familiar? Cross City Tunnel in Sydney, Australia 100,000 99,967 90,000 87,088 80,000 70,000 Traffic models rely on complex interactions of inputs and assumptions Free Month 60,000 50,000 Bankruptcy 50,000 Actual Traffic Actual Traffic 40,000 No Data 30,000 Another Bankruptcy 20,000 25,000 Toll On 10,000 0 2005 2007 2009 2012 2014 2016 6

  7. Data Collection Public toll road data is rare Collected data from: Media articles Government reports Academic / practitioner research Traffic counts / client data 7

  8. Dataset 56 data points across 14 countries Turn off 4 1 10 1 16 Turn on 7 12 14 7 40 Total 11 13 24 8 56 Bridge Cordon Road Tunnel Total Bridge Cordon Road Tunnel 8

  9. Distribution of results Traffic declines from tolling often range between -20% and -45% -18% Median -28% -46% 9

  10. Summary statistics Modest differences by facility & geography type, but wide variation everywhere 10

  11. Its about time Drivers do cost-benefit calculations when deciding to use toll roads Cost per Minute Saved Illustration High tolls vs. time saved will decline most from tolling (or vice-versa) Testing for this has issues 11

  12. Where did the cars go? Carpooling Change of route Spain always has a toll-free parallel road Change of mode London congestion boosted bus traffic 30% Change of destination Sanibel Causeway in Florida attracting weekend beach-goers Trip destruction Seattle SR-99: Half of the decline in traffic not seen on other roads or buses 12

  13. Conclusions Investors should be cautious investing in about to be tolled facilities and governments should not auction roads until they are tolled Many drivers on the road are not willing to pay directly to use the road Congestion pricing could have greater effects than expected Tolling is usually set for cost-recovery 13

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