Formation of the Demand for Taxi Services: a Case of Russia and Israel

For more than 10 years disruptive technologies have been changing the way people make decisions on their transportation. Taxi trips have become more convenient due to the development of the on-demand mobility services and have grown in popularity, which, at the same time, brings challenges and affects customers, drivers, and cities as a whole complex system. The ability to predict the demand for ride-hailing services in time and space appears to be a solution to the raised issues since it may allow cities to better understand the patterns of activity of the population and decrease road traffic and energy consumption, while providing drivers and mobility services with information needed for a better decision-making process resulting in reduced deadheading time and even better service for passengers. In this study, time series methods are proposed for creating forecast of travel demand in predefined zones of Moscow and Tel Aviv.