CASA Seminar Series: Michael Szell & Ane Rahbek Vierø, ITU Copenhagen [ONLINE]
Cycling is marginalized despite being a promising solution towards sustainable transport. In parallel, cycling data and cycling research are also marginalized, posing many opportunities for improvement and open questions. Here, we first present our cycling data quality tool which enables intrinsic and extrinsic assessment and reporting of data quality in cycling infrastructure data sets, focusing on the structural network perspective. Then, we explore how such data enable the development of computational methods for automated bicycle network analysis and planning.
Link
Michael Szell (assoc prof) and Ane Rahbek Vierø (phd student) are researching data science methods for bicycle network analysis and planning at IT University of Copenhagen, Computer Science Department, NERDS research group (Networks, Data, and Society), nerds.itu.dk
Further information
Ticketing
Pre-booking essential
Cost
Free
Open to
All
Availability
Yes