An introductory step to develop Distance Decay Functions in the Italian context to assess the modal split to e-bike and e-scooter

The recent success of muscular, e-bike and escooter in the last years shows how big efforts need to be made in order to understand which are the consequences on the whole transport sector. Electric vehicles, such as ebike and e-scooter, provide health benefits but also economic benefits than buy or use a car for commuting. In this paper, Distance Decay Functions (DDFs) are developed for a case study and the main characteristics that influences the bike use over 90 Italian cities are studied in order to create a bike demand model to forecast the future demand. As last step, an instrument for designers and city road managers to assess the modal split to e-bike and e-scooter is provided.