Computational, evidence-based approaches to bicycle network planning
The opportunities and limitations of network and data science for bicycle infrastructure planning
Michael Szell: Computational, evidence-based approaches to bicycle network planning
When: June 13 at 11p.m.
Where: Room M105 at RU
In this talk, I explore the opportunities and limitations of network and data science for bicycle infrastructure planning. With the increasing popularity of cycling as a mode of transportation, and the necessity to invest into sustainable transport, more accurate and reliable data and computational methods on bicycle infrastructure analysis are becoming a crucial support for planners, engineers, and policymakers. In particular, I will introduce our new bicycle infrastructure data and network quality assessment tool BikeDNA, and discuss various graph-based algorithms for assisting in bicycle network analysis and planning. BIO: Michael Szell is associate professor in Data Science at IT University of Copenhagen, external researcher at ISI Foundation and at the Complexity Science Hub Vienna, and affiliate at the AI Pioneer Centre. His research quantifies the patterns behind interlinked human behavior and human-built structures through mining large-scale data sets. He follows an interdisciplinary approach using methods from data science and network science. Michael's current focus is on sustainable urban mobility and urban data science. He has also developed several interactive data visualization platforms such as What the Street!?, and the award-winning massive multiplayer online game Pardus.
Michael Szell is associate professor in Data Science at IT University of Copenhagen, external researcher at ISI Foundation and at the Complexity Science Hub Vienna, and affiliate at the AI Pioneer Centre. His research quantifies the patterns behind interlinked human behavior and human-built structures through mining large-scale data sets. He follows an interdisciplinary approach using methods from data science and network science. Michael's current focus is on sustainable urban mobility and urban data science. He has also developed several interactive data visualization platforms such as What the Street!?, and the award-winning massive multiplayer online game Pardus.
