Fundamentals of data types and data collection methods for an urban mobility diagnosis

Understanding urban mobility is the first thing cities need to do when planning for urban mobility. Hence, it is essential to understand what data is required to conduct an evidence-based status quo analysis of your city’s mobility system, and what such a status quo looks like. Futhermore, it is important to face the challenges of collecting data after the covid-19 pandemic and the consequences of low-data environments for sustainable urban mobility planning.

This session draws from the experience of the Partnership supporting the city of Medan, Indonesia, in developing a Sustainable Urban Mobility Plan. Here are the answers to three interesting questions from this insightful session based on the diagnosis phase in Medan:

• How does using big data and household surveys create potential barriers to inclusive mobility planning?

• What are the downsides to temporary pneumatic tubes for data collection, which are generally regarded as a relatively inexpensive and highly automatic process to collect mobility data?

• What tool was used in Medan, Indonesia that saved around 6,000 working hours of surveyors’ times?

Access the full recording on our YouTube channel or have a look at the presentation material for this session that is available for download in English and French below.

Interested in conducting a similar training on "Data types and data collection methods for urban mobility planning" in your project or city? We are creating training materials to help replicate this training, including commented power-point presentations, interactive tasks for group work, quizzes and more. If you want to learn more and stay updated on the development of those materials, please write to contact@mobiliseyourcity.net