A Graph Neural Network Approach to Citywide Cycling Infrastructure Prioritization
H 3005Increasing the share of cycling in urban areas has many benefits. Cycling improves the quality of life by reducing noise and air pollution, improves individual health and, most importantly, reduces greenhouse gas emissions. The most important lever for promoting cycling is the improvement of cycling infrastructure. However, public opinion is often deeply divided, especially when […]
Conference Theme: Climate Solutions for Cities and other Human Settlements
Research Methods: Digital evidence synthesis and machine-learning methods