Analysing cyclist behavior at signalized intersections using computer vision Artificial intelligence, in particular deep learning and computer vision, is a promising new tool for automated video analysis in traffic studies. […]
Network algorithms for the identification and classification of gaps in urban bicycle networks based on OSM data What is the best location to build new bicycle infrastructure in a city? […]
The geometric limits of growing urban bicycle networks City planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However, common bicycle […]
Making cities better with human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science […]
Growing cohesive urban bicycle networks City planners worldwide are increasingly realizing that cycling can be a promising solution to their unsustainable car-centric transport systems. However, common bicycle network planning practices […]
Towards a human-centric urban data science Making our cities better and sustainable is key to solving the climate and urban transport crises. To this end, urban data science offers new […]
Abstract Social relationships are the key determinant of crucial societal outcomes, including diffusion of innovation, productivity, happiness, and life expectancy. To better attain such outcomes at scale, it is therefore […]
Will Cycling Save Our Cities? A Story of Love and Panic The climate crisis is putting our future in danger. Cycling is often described as the go-to “green bullet” […]
Establishing a quantitative science of bicycle networks Making transportation in cities sustainable is one major key to solving the climate, urban livability, and urban transport crises. To this end, urban […]
Introduction to Data Science