This document discusses methods for measuring progress towards goals for increasing cycling rates. It outlines goals set by various cities and countries to increase the modal share of cycling. Household travel surveys are identified as an essential data source for understanding transport demand, monitoring progress towards goals, and informing strategic planning. The document describes a household survey conducted in Dresden, Germany, which collects data on trips made by residents over a single reporting day. It notes some potential errors in travel surveys and also discusses other data sources like traffic counts. A variety of options for implementing surveys are presented.
Тіло Бекер, Технічний університет Дрездена (Німеччина) Як поміряти прогрес велоруху
1. Faculty of Transportation and Traffic Sciences “Friedrich List“, Chair of Transport Ecology
How to measure progress in
cycling? Travel surveys and
other data sources.
Thilo Becker 21 October 2016
2. Sustainable mobility. More is better? Slide 2
Goals for cycling
• National Cycling Strategy: “Increase of the modal
share of all trips from 10 % in 2012 to 15 % in 2020”
• Leipzig: “The environmentally friendly modes shall
increase from 60 % to 70 % in 2025 (bike: 14 % 20
%)
• Berlin: “Noticeable increase of the modal split of
cycling within the city limits”
• Munich: 17 % modal split of cycling by 2015; result:
17,4 %
17 October 2016
3. Sustainable mobility. More is better? Slide 3
General data needs
17 October 2016
• Monitoring progress towards set goals
• Understanding transport demand and for strategic
planning time series
• Identification and quantification of problems
• Argumentation for measures
• Prioritization of measures
4. Sustainable mobility. More is better? Slide 4
Data types for planning
17 October 2016
DemandSupply
Traffic
counts
Travel
surveys
Land
use
InfrastructurePrices /
Regulation
Strategic transportation planning process
5. Sustainable mobility. More is better? Slide 5
Household survey in Dresden (SrV)
Figures: SrV, TU Dresden
17 October 2016
6. Sustainable mobility. More is better? Slide 6
What is being collected?
17 October 2016
Residents from
within the city
Questions: Household,
persons, trips
Main mode
Trip: One
purpose
All trips for one
reporting day
Random sample
Days: Thuesday
to Thursday
Weighting
7. Sustainable mobility. More is better? Slide 7
Question
Think of you longest trip yesterday. Which main
mode of transport did you use? Please raise your
hand!
A B C D
Picture Source: wikipedia.org
17 October 2016
8. Sustainable mobility. More is better? Slide 8
Modal split over time
17 October 2016
Source: Regine Gerike; IVST, TU Dresden
10. Sustainable mobility. More is better? Slide 10
Differences in gender and age
Source: Regine Gerike, TU Dresden
17 October 2016
11. Sustainable mobility. More is better? Slide 11
Which mistakes can happen?
• Trip chaining: One or several trips?
• Can you remember all trips of yesterday?
• Internal traffic versus through traffic
• Imprecise Question
• Socially desirable replies
• Poor response rate
• Unusual weather conditions
17 October 2016
12. Sustainable mobility. More is better? Slide 12
Other methods and measuring types
Source: wikipedia.org, ADFC, TU Dresden
17 October 2016
13. Sustainable mobility. More is better? Slide 13
Options for implementation
1. Survey in the conference room
2. Online survey distributed by bicycle newsletter
3. Household survey by NGO
4. Large sample survey by ministry of transport
5. Panel survey
17 October 2016
14. Sustainable mobility. More is better? Slide 14
Summary
• SMART goals for planning and implementation
• Different usages of data
• Household survey essential to quantify and
influence modal split
• Method important for consistant time series
• Government responsible to ensure data quality
and access
• The more data the better the planning
17 October 2016
15. Sustainable mobility. More is better? Slide 15
Dr.-Ing. Thilo Becker
TU Dresden
„Friedrich List“ Faculty of Transport and Traffic Science
Chair of Transport Ecology
01062 Dresden
Tel.: +49 (0)351 463 36692
E-Mail: thilo.becker@tu-dresden.de
18 August 2016
Notes de l'éditeur
Data for monitoring progress towards set goals Goals and data needs change over time
Long and consistent time series for understanding transport demand and for strategic planning Comparable data should be collected over time
Traffic counts (freight, passenger cars, bicycles), public transport ridership
Household travel surveys
Land use (e.g. number of residents, workplaces, shopping facilities)
Transport supply (infrastructure, prices…)
Nationwide, voluntary survey; 113 study areas chose to particpate (municipalities, public transport authorities, regional planning agencies)
Repeated every 5 years
130.000 persons in ### households surveyed
Scientific preparatation, coodination and evaluation by TU Dresden
Field work: survey company
Households are contacted by letter; reply by written form, telephone interview or online
Think of you longest trip yesterday. Which main mode of transport did you use? Please raise you hand: Car, PT, Foot, Bike