FP7 project CATCH - Carbon aware travel choice
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Transcript of FP7 project CATCH - Carbon aware travel choice
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MMM GROUP (UK)
Achieving Low Carbon Mobility:
Urban Transportation Modelling, Public Awareness and Behavioural Change
Steve Cassidy and Umberto Pernice
10 October 2013
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WHO WE AREINTRODUCTION
What we do The CATCH project
Background Goals, targets and outcomes Technology Infrastructure & Visualization Tools Data sources and indicators
European Union Policies / tools on GHG emissions
Lessons learned – Thoughts for the future
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Discover Define
Deliver Develop
Technical framework
Toolkit
A set of approx. 20 product concepts
Mobility Management Design Methodology
WHAT WE DO
Strategy and Innovation in Mobility Management
Smart and Integrated Ticketing
Smart Mobility products and services
Incentive-based behavioural models
Smart Cities measurement and visualization tools
Project prioritization
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■ Funding: European Union Seventh Framework Programme (FP7) for Community Research and Development Information Service
■ Duration: 30 months (2009 – 2012)■ Budget: €2 million■ 11 beneficiaries in 6 countries (UK,
Italy, Spain, Belgium, Brazil, China)
The CATCH project - Carbon-Aware Travel CHoice in the city, region and world of tomorrow
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INTERNATIONAL CONSORTIUM OF PARTNERS IN RESEARCH, TRANSPORT, CONSULTANCY AND ENGINEERING
Brazil: University of Rio de Janeiro
Edinburgh: MMM Group
Madrid: SICE
China: Handan Municipality
Milan: Systematica
Brussels: POLIS, UITP, EFORUMLondon: TRL, Q- Sphere
Bristol: University of West of England
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BACKGROUND - THE PROBLEM FACED
■ (Urban) transport sector needs to de-carbonise
■ Technology is not enough■ Need modal shift and
transportation demand management (TDM)
■ It is essential that both technical and non-technical options are taken up1
1Towards the decarbonisation of the EU’s transport sector by 2050. Final report from project EU Transport GHG: Routes to 2050. June 2010
Image source: http://www.carbonaware.eu/about.html
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■ Examined behaviour research in transport, health, psychology, and behavioural economics.
■ Examined how CO2 was being communicated.
■ Increase awareness of transport CO2
■ Motivate change to reduce transport CO2
■ Consider the wider benefits of carbon reduction (i.e. co-benefits)
GOALS, TARGETS AND OUTCOMES
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How do people perceive CO2 and climate change info?
GOALS - OUTCOMES
■ CO2 is a new and abstract concept that people talk about, but cannot interpret.
■ Difficult to interpret and be motivated by CO2 mass
How to frame messages?
■ Behavioural economics highlights how we frame the information presented.
■ Loss framing will improve motivation for behavioural change – eg do not use loss for behavioural change – use benefits
How to engage and change traveller
behaviour?
■ Research highlights that different triggers should be used to stimulate behaviour change.
■ Sell co-benefits and create doubt that current situation is best: comparison of your locale
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Areas for triggering CO2 emissions reduction from travel:
ROLE OF CO-BENEFITS
Cost/Budget Time and Accessibility Health
Safety Community Planning/Land use
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TECHNOLOGY INFRASTRUCTURE & VISUALIZATION TOOLS
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THE VISUAL INTERACTIVE TOOLS
Co-benefit tool - presents information on city-level carbon emissions from transport alongside other “co-benefit”: Health, Safety, Budget, Time, Planning and Community in a comparative way between cities
Scenario tool - allows a selection across a wide range of cities and offers a two-dimensional graphical representation of data to observe the relative performance of cities across years
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Explain each co-benefit area and its link with CO2 reduction;
Explore CO2 and co-benefits performance across a wide number of cities:
If a city is not in the database the most similar city is used;
Offer the users interactive functionalities to express their views through appealing interfaces and dynamic interactions directly linked to the GHG database;
Scalability - more indicators and co-benefits can be included
CO-BENEFIT TOOL
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-Factsheet-Video Gallery-References-Best practices
Aggregates users’ choices to see what is regarded by majority of users as top issues.
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City selection: to explore CO2 and co-benefit performance across a wide number of cities. If a city is not present in the database, a functionality can be used to find the “most similar city”. Similarity is measured in terms of geography, GDP, population and car usage levels.
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Two comparative dashboards
CO2
CO-BENEFITS
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SCENARIO TOOL
A simulator for future scenarios enabling:
■ selection across a wide range of cities dynamically from a map
■ Bi-dimensional plan to observe the relative position of cities across years
■ Axes customisation, choosing among a wide range of indicators
■ Customisation of comparison
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Main graph area - bi-dimensional plan to observe the relative position of cities.
Possibility of axes customisation. Choice among a wide range of indicators
Customisation of comparison cluster. Can add cities in the graph either “one by one” or “all”
Time scale: by moving the cursor it is possible to see position of cities across years
Selected city stick out in the graph
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DATA SOURCES AND INDICATORS DATA USED TO ESTIMATE CO2 EMISSIONS
Estimates of emissions of CO2 from road transport for 2008 ■ European Pollutant Release and Transfer Register
(E-PRTR) on a 5km x 5km grid covering Europe
Map showing E-PRTR 5km grid for CO2 emissions from road transport
Sample of CO2 cells associated with cities at LUZ level
2020 target estimations■ An algorithm was developed to estimate city-level
2020 goals.■ 2020 goals are based on a 20% reduction from
1990 levels.■ National and city-level data used where data from
1990 and 2008 was available■ Six algorithms developed to accommodate gaps
in data
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Co-benefits indicators■ Eurostat’s Urban Audit (primary source)■ Supplemented by:
■ UITP’s Mobility in Cities Database■ The European Commission's Urban Transport Benchmarking
Initiative■ EMTA - European Metropolitan Transport Authorities’
Barometer
DATA SOURCES AND INDICATORS INDICATORS USED FOR CO-BENEFITS
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EU Directives■ Integrated Pollution Prevention and Control (2008/1)■ National Emissions Ceilings (2001/81).■ Greenhouse Gas Emissions Trading Scheme (2009/29)
Tools
ICLEI Europe's Basic Climate Toolkit is comprised of:■ GHG Inventory Manual■ Basic GHG Inventory Tool■ FAQ on GHG Inventories, Glossary and Abbreviations
EUROPEAN UNION POLICIES / TOOLS ON GHG EMISSIONS
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LESSONS LEARNED – THOUGHTS FOR THE FUTURE
Use of co-benefits in transport is essential for behavioural change: a derived demand. Think lifestyle -how do we show the best (transport) lifestyle solution?
CATCH tools what next: “just” need data. If adopted -what is the aim? Behavioural change?
City dashboards to visualise cities: Big data from everywhere (sensors, mobile, crowd), sharp data analytics and visualization
Move to full holistic approach to a “Low carbon style of living” and “Smart mobility”: trigger more effective behavioural change
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Contacts:
Steve Cassidy – [email protected]
Umberto Pernice – [email protected]
Annie Li – [email protected]
MMM Group 3 Hill StreetEdinburgh, EH2 3JP, UKt: +44 (0)131 226 1045