Successfully reported this slideshow.
We use your LinkedIn profile and activity data to personalize ads and to show you more relevant ads. You can change your ad preferences anytime.

Cycling Data as a change agent for Sustainable Mobility


Published on

The Netherlands is known for its high cycling shares and great cycling infrastructure. What many
people less realize is the challenge to increase those shares even more to enhance cycling in the
sustainability smart cities objectives. To push cycling to the next level a national collaboration has
been set up to join forces in the field of cycling data collection, storage, visualisation and analyses.
Next, cycling knowledge sharing between a variety of stakeholders, ranging from academic to highly
applied level, is essential. This paper not only covers an overview of challenges of the national
organisation and the development of a cycling data platform but also shows how European award
winning best practises add to the smart city objectives in the Netherlands. Combining mobile phone
data, GPS/GNSS data, traffic light data, national survey data, traffic forecast model data and virtual
and augmented reality results in a joint approach to smart cycling cities and ITS cycling developments.
These developments can lead to a greener mobility system, but if done wrongly eradicate the strengths
of cycling in an autonomous-vehicle dominated city.

Published in: Data & Analytics
  • Be the first to comment

  • Be the first to like this

Cycling Data as a change agent for Sustainable Mobility

  1. 1. Cycling data as change agent for sustainable mobility Joost de Kruijf Breda University of Applied sciences 4th June 2019 ITS Congress Eindhoven Joost de Kruijf Rick Lindeman
  2. 2. Content  Cycling in NL  Recent developments  Cycling intelligence  Real Time Data  Challenges  Concluding
  3. 3. Cycling in the Netherlands Amount of bicycles outnumber the Dutch inhabitants Proportion of bicycles use as percentage of total number of trips
  4. 4. Recent governmental developrnents • Tour de Force • SUMPS • Cycling Highways • Data to monitor measures • Focus on ‘smart Mobility’
  5. 5. Cyling Intelligence From data to information and cycling policy decision support Interactive Cycling info dashboard GPS and count data visualisation and analysis Cycle Highway impact analysis
  6. 6. Real time data & Bikes Talking Traffic
  7. 7. Challenges • Collection of Data • Organisation • Business Case • Nature of Bicycles and Cyclists
  8. 8. Conclusion • Rapid developments • Redefining the smart city to embody the city we actually want to live in • Environmental impact (CO2) • Happyness
  9. 9. Looking at the actual behaviour of cyclists will not only learn us more about their preferences, it also enables us to make the switch to customer friendly cycle policy 4th June 2019 ITS Congress Eindhoven Joost de Kruijf Rick Lindeman