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19-04-13
Creating a sense of urgency for
sustainable mobility by benchmarking
cities in the Netherlands
Wim Korver – Goudappel Coffeng
Jurgen de Haan – KpVV
KpVV:
Transport
Knowledge
Resource Centre
How sustainable is our municipality?
- Interesting data unknown by policy makers
- Interesting data unknown by governers
- Compare own situation with that of others
- Knowledge on the municipality level
Dashboard Sustainable and Smart Mobility
- An internet platform
- Benchmark figures on municipality level
- Information on all kind of aspects of sustainable mobility
- Free access to Excel sheets with source data
- Using social media
- Web-blog > interaction
Pecha Kucha-presentatie 4
19-04-13
Google blog
Pecha Kucha-presentatie 5
19-04-13
RSS feeds
Pecha Kucha-presentatie 6
19-04-13
Analysis
Pecha Kucha-presentatie 7
19-04-13
Content
Pecha Kucha-presentatie 8
19-04-13
Database (xls)
with data at
municipal level
Pecha Kucha-presentatie 9
19-04-13
editions
concerning targets
editions concerning
measures
Current dashboards
Targets
-External costs
-Health
-Energy
-Accessibility
-Clean air
-Climate
Measures
-Cycling
-Pedestrian
-Car sharing
-Filling points and charging stations
-Clean car’s
-Teleworking
-Smart office planning
-Work place travel planning
Demo dashboard Health
http://kpvvdashboard-12.blogspot.nl/
Pecha Kucha-presentatie 11
19-04-13
Design Principles for the Dashboard
• “Popular” Headlines > punch line
• Short messages (like in newspapers)
• Mix of Maps, figures, Tables and text
• Urbanization and regional level
• List of best/worst municipalities
• Detailed data in .XLS(X)
• Mainly based on existing data
• Links to relevant literature and websites
• Smart use RSS-feeds
“Popular” headlines
E-bike could lead to 20% more bicycle use
Driving a car: worse than smoking?
Transport is the major source of CO2 emissions within 40%
municipalities
The number of tele workers tripled within 7 years
…
Using maps
and figures
Number of people killed
in traffic per 1 billion
vehicle km
Categorizing based on urbanization level
Urbanization
Level
Share transport in
total CO2 emissions
Transport CO2
emissions per
persons
1 (Very high
densities)
30% 1,52
2 34% 1,74
3 40% 2,32
4 48% 3,17
5 (Low density) 50% 3,45
Average 2,35
Comparing with
Surrouding
municipalities
Average exposure of
PM10 levels per
municipality
List of best/worst municipalities (top ten)
The best cities
Alternative fuel car sales per municipality (2009): top ten cities
Numberofcars
Explanatory factors
Higher bicycle
use leads to less
lack of exercise
Bicycle use: minutes per day per person
Communication Plan
• Target group: professionals concerned with
sustainable and smart mobility;
• Especially governors and policy makers
• Every month a new edition
• News on the KpVV homepage
• In the digital KpVV-newsletter
• E-mail alert to 2000 people interested in sustainable
or smart mobility
• Question in about 4 social media groups like LinkedIn
19
Evaluation
- 83 % (N=98) knows the dashboard
- Response from the traffic department (2/3) but also in de
environmental (1/5) and the spatial planning (1/6)
department
- 44% say due to the dashboard they are more working on
sustainable mobility
- 88% thinks it’s a good product; 77% would recommend it
to their colleagues
- 13% would like a better design
Visitors Car sharing and total January 2011-November 2012
- Total visitors
Added value of offering benchmarking
sustainable mobility data
Ranking cities on their sustainability performance helps to
create a higher sense of urgency
Comparing cities is one thing, but a time series approach
has a higher added value
A good benchmark takes into account structural factors and
compares only similar cities
The coming years more and more data (big data) will come
available. The possibilities to benchmark cities will
increase rapidly
Plans for coming year(s):
- More dashboards (accessibility, public transport, ..)
- More time-series information (monitoring and linking
information to policy actions)
- On-line statistics (use of big data)
- Aggregate all results in one comparable unit and make a
sustainability score of municipalities
- Adding information from other European countries?

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Polis conferentie kpvv en goudappel 2012

  • 1. 19-04-13 Creating a sense of urgency for sustainable mobility by benchmarking cities in the Netherlands Wim Korver – Goudappel Coffeng Jurgen de Haan – KpVV KpVV: Transport Knowledge Resource Centre
  • 2. How sustainable is our municipality? - Interesting data unknown by policy makers - Interesting data unknown by governers - Compare own situation with that of others - Knowledge on the municipality level
  • 3. Dashboard Sustainable and Smart Mobility - An internet platform - Benchmark figures on municipality level - Information on all kind of aspects of sustainable mobility - Free access to Excel sheets with source data - Using social media - Web-blog > interaction
  • 8. Pecha Kucha-presentatie 8 19-04-13 Database (xls) with data at municipal level
  • 9. Pecha Kucha-presentatie 9 19-04-13 editions concerning targets editions concerning measures
  • 10. Current dashboards Targets -External costs -Health -Energy -Accessibility -Clean air -Climate Measures -Cycling -Pedestrian -Car sharing -Filling points and charging stations -Clean car’s -Teleworking -Smart office planning -Work place travel planning
  • 12. Design Principles for the Dashboard • “Popular” Headlines > punch line • Short messages (like in newspapers) • Mix of Maps, figures, Tables and text • Urbanization and regional level • List of best/worst municipalities • Detailed data in .XLS(X) • Mainly based on existing data • Links to relevant literature and websites • Smart use RSS-feeds
  • 13. “Popular” headlines E-bike could lead to 20% more bicycle use Driving a car: worse than smoking? Transport is the major source of CO2 emissions within 40% municipalities The number of tele workers tripled within 7 years …
  • 14. Using maps and figures Number of people killed in traffic per 1 billion vehicle km
  • 15. Categorizing based on urbanization level Urbanization Level Share transport in total CO2 emissions Transport CO2 emissions per persons 1 (Very high densities) 30% 1,52 2 34% 1,74 3 40% 2,32 4 48% 3,17 5 (Low density) 50% 3,45 Average 2,35
  • 17. List of best/worst municipalities (top ten) The best cities Alternative fuel car sales per municipality (2009): top ten cities Numberofcars
  • 18. Explanatory factors Higher bicycle use leads to less lack of exercise Bicycle use: minutes per day per person
  • 19. Communication Plan • Target group: professionals concerned with sustainable and smart mobility; • Especially governors and policy makers • Every month a new edition • News on the KpVV homepage • In the digital KpVV-newsletter • E-mail alert to 2000 people interested in sustainable or smart mobility • Question in about 4 social media groups like LinkedIn 19
  • 20. Evaluation - 83 % (N=98) knows the dashboard - Response from the traffic department (2/3) but also in de environmental (1/5) and the spatial planning (1/6) department - 44% say due to the dashboard they are more working on sustainable mobility - 88% thinks it’s a good product; 77% would recommend it to their colleagues - 13% would like a better design
  • 21. Visitors Car sharing and total January 2011-November 2012 - Total visitors
  • 22. Added value of offering benchmarking sustainable mobility data Ranking cities on their sustainability performance helps to create a higher sense of urgency Comparing cities is one thing, but a time series approach has a higher added value A good benchmark takes into account structural factors and compares only similar cities The coming years more and more data (big data) will come available. The possibilities to benchmark cities will increase rapidly
  • 23. Plans for coming year(s): - More dashboards (accessibility, public transport, ..) - More time-series information (monitoring and linking information to policy actions) - On-line statistics (use of big data) - Aggregate all results in one comparable unit and make a sustainability score of municipalities - Adding information from other European countries?

Editor's Notes

  1. Lots of interesting data is not used / even unknown by policy makers The need to compare it’s own situation with that of others Lack of specific knowledge on the municipality level (especially small and mid-size municipalities) Experience with the ‘clean PT poster’ shows this promotes sustainability