Understanding Taxi Travel Demand Patterns Through Floating Car Data
Published: 12 December 2018 by Springer Nature in Advances in Intelligent Systems and Computing
Springer Nature, 10.1007/978-3-030-02305-8_54
Abstract: This paper analyses the current structure of taxi service use in Rome, processing taxi Floating Car Data (FCD). The methodology used to pass from the original data to data useful for the demand analyses is described. Further, the patterns of within-day and day-to-day service demand are reported, considering the origin, the destination and other characteristics of the trips (e.g. travel time). The analyses reported in the paper can help the definition of space-temporal characteristics of future Shared Autonomous Electrical Vehicles (SAEVs) demand in mobility scenarios.
Keywords: travel demand, floating car data, Taxi Demand