Exploring the robustness of alternative cluster detection and the threshold distance method for crash hot spot analysis: a study on vulnerable road users
Traditional hot spot and cluster analysis techniques based on the Euclidean distance may
not be adequate for assessing high-risk locations related to crashes. This is because …
not be adequate for assessing high-risk locations related to crashes. This is because …
Forecasting public transit ridership amidst COVID-19: a machine learning approach
Transit demand prediction is critical for effective public transit planning and operations,
particularly in the unpredictable environment caused by the COVID-19 pandemic. Since the …
particularly in the unpredictable environment caused by the COVID-19 pandemic. Since the …