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Routes to Clean Air Conference
Air Quality Implications of New Technologies
for Urban Mobility
Bristol, 22 October 2015
Graham Parkhurst
graham.parkhurst@uwe.ac.uk
Professor of Sustainable Mobility
Centre for Transport & Society
Department of Geography and Environmental Management
Overview
• Objectives for urban transport policy that addresses air
quality policy needs
• Role of behaviour change and technological transition in
delivering policy
• Emerging urban transport technologies
– Analysis of ‘deliverability’
– Analysis of air quality implications
• Indicative Scenarios and Recommendations
2
What does air quality policy require
from urban transport policy?
• Less motor vehicle traffic
• Smoother traffic flow
• Traffic redistribution?
• Emissions per vehicle reduced/eliminated
3
• With appropriate technical ‘due diligence’ regarding
– Geography of exposure
– Evolving scientific knowledge regarding health effects
By when?
• Already behind schedule?
4/
How can urban transport policy
deliver?
Two broad orientations
5/
Behaviour Technological
Behaviour Change
• EU Project
– Review of 22 Sustainable Urban Mobility Plan Measures
6/
http://evidence-project.eu/index.php
Site-based travel plans
(Cairns et al. 2010; Bartle 2014a)
• Wide range of effects on car-use reduction (4-18%)
– Associated with average doubling in use-rates of alternatives
• Wide range of expenditure on plan (£2-431 per FTE)
– Expenditure and effectiveness not well related
• Some methodological concerns e.g. selection biases but
also confidence that effects are real (at least for
evaluation periods)
7/
Site-based Plans: Success factors
• Willingness of employers to participate
• Funding
• Use of the planning system
• Restraint measures (e.g. parking management)
• Transport infrastructure/service improvements
• Advertising and marketing
8/
Personalised Travel Planning
(Bartle, 2014b)
• Reduction in car driver trips typically 8-12%
• Reduction in car-driver mode share typically 5-7%
• Quality of the interactions between travel advisers and
citizens critical for higher extents of change
• But “many evaluations have been vulnerable to a degree
of reporting bias and methodological weaknesses”
– Concluded that there is a real effect but extent of change likely
to be overstated
9/
Behaviour change measures…
• Have useful effects amongst participants
• Considerable challenge in rolling out to whole population
– And repeating as necessary to reinforce
• Size of effects, alone, not sufficient
10/
Many Citizens Live in Suburban
Car-oriented Development
Medium-range Car Journeys Need to be Policy
Focus
Source: Department for Transport (2009) Delivering Sustainable Low Carbon Travel. Figure 2.1
79
32
5
18
56
77
82 84 81
6
12 9 5
4 8
12
0
10
20
30
40
50
60
70
80
90
100
Under 1 mile 1 to under 2
miles
2 to under 5
miles
5 to under 10
miles
10 to under 25
miles
25 miles and
over
Percentage
Walk Bicycle Car/van Local bus Rail Other
DfT (2010) Trips by length and main mode: Britain, 2009
Walking already dominates at short-range
(cycling could at short-to-medium range)
Capacity and Efficiency Limits to Public Transport
Solutions
0
100
200
300
400
500
600
700
800
900
1952
1954
1956
1958
1960
1962
1964
1966
1968
1970
1972
1974
1976
1978
1980
1982
1984
1986
1988
1990
1992
1993
1995
1997
1999
2001
2003
2005
2007
2009
Pass-km(billions)
Car/van/taxi
Bus/coach
Rail
Data: Department for Transport (2010) Transport Statistics Great Britain. Table 1.1
Therefore new technology needs to be
part of policy
• What combination of technologies?
• What balance between technological and behaviour
change?
15/
Important to be realistic about constraints
of different technologies and possible
unintended consequences, as well as
potential to meet policy objectives.
Three contemporary
technologies/transitions
• Electrification
• Automation
• IT-enabled sharing (iCollectiveMobility)
16/
Electric cars: the unresolved questions
and issues
• Source of carbon-neutral electricity?
• Distribution capacity?
• Availability of rare raw materials?
• User acceptance of vehicle costs and characteristics?
– 25% higher purchase cost (shorter range EV)
– 75% lower energy cost per mile
How to recharge all
these cars?
© Copyright Bontenbal. Licensed under Creative Commons Attribution-Share Alike 3.0 Unported license
19/
Too Little Too Late?
Ecars worth -3.1% road transport emissions
reduction by 2020
21
Driverless Cars on UK Roads
Benefits identified by DfT (2015)
22/
The Pathway to Driverless Cars: A detailed review of regulations for automated vehicle technologies
KPMG (2015):
‘Roadmap’
23/
KPMG (2015) UK ‘Market
Penetration’ scenario to 2030
24/
Non-Connected Connected Highly automated Fully automated
Outstanding Issues:
• significant technological challenges
• transition ‘pathway’ to full automation
– Major street redesign?
– Need to retrain road users
– Retrofitting of older vehicles?
– Revised road user regulations
– Financing/funding model
• non-transport sector implications
– E.g. land value changes if car parks redundant
– Public health if walking/cycling discouraged
25/
?
iCollectiveMobility
• Mobility supply/demand brokerage eplatforms
• Shared travel information e.g. Waze, mytraindelays
• Shared, dynamically-routed taxis and taxibuses
26/
Mobility On Demand Laboratory Environment
(MODLE)
Demonstration project for dynamic taxibus service in Bristol northern
suburbs
Summary of Implications for air quality
Less traffic Smoother flow Traffic
redistribution
Emissions per
vehicle
Deliverability
by 2025
Deliverability
by 2035
Electrification
-2 (reduced
generalised
cost)
-1 (traffic
growth)
1 (battery
optimisation,
LEZs)
2
Incremental
change
Significant fleet
share
Automation
Levels 2-3
-1 (reduced
‘deterrents’ to
car use)
1 (calming
effect)
-1 (willingness
to use currently
unattractive
routes)
0? (smoother
drive but higher
power demand)
Incremental
change
Significant fleet
share
Automation
Levels 4-5
-2 (cars
available to all;
empty running)
2 (managed
system)
1 (managed
system)
0
Significant
technological
development
needed
Uncertain: part-
automation in
urban areas?
iCollective
Mobility
2 1
0? (Dynamic
routing:
consequences
uncertain)
0
No significant
technological
barriers
No significant
technological
barriers
29/
Key points of analysis
• None of the technologies is alone sufficient to solve the Air
Quality problem
– Except electrification in the long-run (but at high congestion cost)
• Synergies occur if all three are delivered in a package
• Only iCollectiveMobility can be delivered at large-scale now
• Automation and electrification have short-term unintended
effects
– Potentially very significant in case of automation
30/
Nightmare Scenario
• Little increase in shared mobility
• Electrification worsens air quality in the short run
– Traffic and congestion growth offsets reduction in ICE use
• Automation is a benefit for the purchasers of luxury cars
– Also increases traffic and congestion
• High infrastructure costs reduce funds for other interventions
• Clutter of urban areas increased due to large number of
private vehicles + equipment to connect and charge them
• Walking and cycling less attractive/popular
31/
‘Efficient Automation’
• Walking and cycling continue to be promoted
– health and traffic reduction benefits
• Core urban transport supply is delivered by
buses/taxibuses/shared taxis
– Mostly small to medium-sized vehicles
– Dynamically booked connected vehicles
– Increasingly electrically powered
– Increasingly autonomous
32/
Citizens in practice associate
automation concept with:
• collective ownership
• standardised vehicles
• Socially positive goals
• Logical, efficient
transport system
• Better quality of journey
(as passenger)
• Electric/clean power
33/
Behaviour Change easier to deliver as
part of a systemic change
• Materials – changes to
vehicles, fuels, streets
• Competences – changes in
traveller/driver/owner skills in
terms of booking, riding,
charging, paying
• Meaning – shared mobility as a
new understanding alongside
public and private transport
Competence
Meaning
Materials
Diagram from
Williams, 2015
Social
Practice
Theory
Recommendations for an urban mobility
policy to address air quality
• More serious attention be given to collective mobility
solutions
• Greater targeting in the promotion of electric mobility
– Focus on shared use contexts: car clubs, pool cars
• More informed public debate about benefits and costs of
automation in road transport
35/

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Routes to Clean Air 2015 - Prof. Graham Parkhurst

  • 1. Routes to Clean Air Conference Air Quality Implications of New Technologies for Urban Mobility Bristol, 22 October 2015 Graham Parkhurst graham.parkhurst@uwe.ac.uk Professor of Sustainable Mobility Centre for Transport & Society Department of Geography and Environmental Management
  • 2. Overview • Objectives for urban transport policy that addresses air quality policy needs • Role of behaviour change and technological transition in delivering policy • Emerging urban transport technologies – Analysis of ‘deliverability’ – Analysis of air quality implications • Indicative Scenarios and Recommendations 2
  • 3. What does air quality policy require from urban transport policy? • Less motor vehicle traffic • Smoother traffic flow • Traffic redistribution? • Emissions per vehicle reduced/eliminated 3 • With appropriate technical ‘due diligence’ regarding – Geography of exposure – Evolving scientific knowledge regarding health effects
  • 4. By when? • Already behind schedule? 4/
  • 5. How can urban transport policy deliver? Two broad orientations 5/ Behaviour Technological
  • 6. Behaviour Change • EU Project – Review of 22 Sustainable Urban Mobility Plan Measures 6/ http://evidence-project.eu/index.php
  • 7. Site-based travel plans (Cairns et al. 2010; Bartle 2014a) • Wide range of effects on car-use reduction (4-18%) – Associated with average doubling in use-rates of alternatives • Wide range of expenditure on plan (£2-431 per FTE) – Expenditure and effectiveness not well related • Some methodological concerns e.g. selection biases but also confidence that effects are real (at least for evaluation periods) 7/
  • 8. Site-based Plans: Success factors • Willingness of employers to participate • Funding • Use of the planning system • Restraint measures (e.g. parking management) • Transport infrastructure/service improvements • Advertising and marketing 8/
  • 9. Personalised Travel Planning (Bartle, 2014b) • Reduction in car driver trips typically 8-12% • Reduction in car-driver mode share typically 5-7% • Quality of the interactions between travel advisers and citizens critical for higher extents of change • But “many evaluations have been vulnerable to a degree of reporting bias and methodological weaknesses” – Concluded that there is a real effect but extent of change likely to be overstated 9/
  • 10. Behaviour change measures… • Have useful effects amongst participants • Considerable challenge in rolling out to whole population – And repeating as necessary to reinforce • Size of effects, alone, not sufficient 10/
  • 11. Many Citizens Live in Suburban Car-oriented Development
  • 12. Medium-range Car Journeys Need to be Policy Focus Source: Department for Transport (2009) Delivering Sustainable Low Carbon Travel. Figure 2.1
  • 13. 79 32 5 18 56 77 82 84 81 6 12 9 5 4 8 12 0 10 20 30 40 50 60 70 80 90 100 Under 1 mile 1 to under 2 miles 2 to under 5 miles 5 to under 10 miles 10 to under 25 miles 25 miles and over Percentage Walk Bicycle Car/van Local bus Rail Other DfT (2010) Trips by length and main mode: Britain, 2009 Walking already dominates at short-range (cycling could at short-to-medium range)
  • 14. Capacity and Efficiency Limits to Public Transport Solutions 0 100 200 300 400 500 600 700 800 900 1952 1954 1956 1958 1960 1962 1964 1966 1968 1970 1972 1974 1976 1978 1980 1982 1984 1986 1988 1990 1992 1993 1995 1997 1999 2001 2003 2005 2007 2009 Pass-km(billions) Car/van/taxi Bus/coach Rail Data: Department for Transport (2010) Transport Statistics Great Britain. Table 1.1
  • 15. Therefore new technology needs to be part of policy • What combination of technologies? • What balance between technological and behaviour change? 15/ Important to be realistic about constraints of different technologies and possible unintended consequences, as well as potential to meet policy objectives.
  • 16. Three contemporary technologies/transitions • Electrification • Automation • IT-enabled sharing (iCollectiveMobility) 16/
  • 17. Electric cars: the unresolved questions and issues • Source of carbon-neutral electricity? • Distribution capacity? • Availability of rare raw materials? • User acceptance of vehicle costs and characteristics? – 25% higher purchase cost (shorter range EV) – 75% lower energy cost per mile
  • 18. How to recharge all these cars? © Copyright Bontenbal. Licensed under Creative Commons Attribution-Share Alike 3.0 Unported license
  • 19. 19/
  • 20. Too Little Too Late? Ecars worth -3.1% road transport emissions reduction by 2020
  • 22. Benefits identified by DfT (2015) 22/ The Pathway to Driverless Cars: A detailed review of regulations for automated vehicle technologies
  • 24. KPMG (2015) UK ‘Market Penetration’ scenario to 2030 24/ Non-Connected Connected Highly automated Fully automated
  • 25. Outstanding Issues: • significant technological challenges • transition ‘pathway’ to full automation – Major street redesign? – Need to retrain road users – Retrofitting of older vehicles? – Revised road user regulations – Financing/funding model • non-transport sector implications – E.g. land value changes if car parks redundant – Public health if walking/cycling discouraged 25/ ?
  • 26. iCollectiveMobility • Mobility supply/demand brokerage eplatforms • Shared travel information e.g. Waze, mytraindelays • Shared, dynamically-routed taxis and taxibuses 26/
  • 27. Mobility On Demand Laboratory Environment (MODLE) Demonstration project for dynamic taxibus service in Bristol northern suburbs
  • 28.
  • 29. Summary of Implications for air quality Less traffic Smoother flow Traffic redistribution Emissions per vehicle Deliverability by 2025 Deliverability by 2035 Electrification -2 (reduced generalised cost) -1 (traffic growth) 1 (battery optimisation, LEZs) 2 Incremental change Significant fleet share Automation Levels 2-3 -1 (reduced ‘deterrents’ to car use) 1 (calming effect) -1 (willingness to use currently unattractive routes) 0? (smoother drive but higher power demand) Incremental change Significant fleet share Automation Levels 4-5 -2 (cars available to all; empty running) 2 (managed system) 1 (managed system) 0 Significant technological development needed Uncertain: part- automation in urban areas? iCollective Mobility 2 1 0? (Dynamic routing: consequences uncertain) 0 No significant technological barriers No significant technological barriers 29/
  • 30. Key points of analysis • None of the technologies is alone sufficient to solve the Air Quality problem – Except electrification in the long-run (but at high congestion cost) • Synergies occur if all three are delivered in a package • Only iCollectiveMobility can be delivered at large-scale now • Automation and electrification have short-term unintended effects – Potentially very significant in case of automation 30/
  • 31. Nightmare Scenario • Little increase in shared mobility • Electrification worsens air quality in the short run – Traffic and congestion growth offsets reduction in ICE use • Automation is a benefit for the purchasers of luxury cars – Also increases traffic and congestion • High infrastructure costs reduce funds for other interventions • Clutter of urban areas increased due to large number of private vehicles + equipment to connect and charge them • Walking and cycling less attractive/popular 31/
  • 32. ‘Efficient Automation’ • Walking and cycling continue to be promoted – health and traffic reduction benefits • Core urban transport supply is delivered by buses/taxibuses/shared taxis – Mostly small to medium-sized vehicles – Dynamically booked connected vehicles – Increasingly electrically powered – Increasingly autonomous 32/
  • 33. Citizens in practice associate automation concept with: • collective ownership • standardised vehicles • Socially positive goals • Logical, efficient transport system • Better quality of journey (as passenger) • Electric/clean power 33/
  • 34. Behaviour Change easier to deliver as part of a systemic change • Materials – changes to vehicles, fuels, streets • Competences – changes in traveller/driver/owner skills in terms of booking, riding, charging, paying • Meaning – shared mobility as a new understanding alongside public and private transport Competence Meaning Materials Diagram from Williams, 2015 Social Practice Theory
  • 35. Recommendations for an urban mobility policy to address air quality • More serious attention be given to collective mobility solutions • Greater targeting in the promotion of electric mobility – Focus on shared use contexts: car clubs, pool cars • More informed public debate about benefits and costs of automation in road transport 35/