Station-level demand prediction in bike-sharing systems through machine learning and deep learning methods
Public Bike-Sharing systems have been employed in many cities around the globe. Shared bikes are an efficient and convenient means of transportation in advanced societies. Nonetheless, station planning and local bike-sharing network effectiveness can be challenging. This study aims to address these challenges by predicting the station-level demand in public bicycle-sharing systems through the appl
