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.
Nuzzolo, A., Comi, A., Papa, E., Polimeni, A. (2019). Understanding Taxi Travel Demand Patterns Through Floating Car Data. In K.I. Nathanail E. (a cura di), Data Analytics: Paving the Way to Sustainable Urban Mobility (pp. 445-452). Springer [10.1007/978-3-030-02305-8_54].
Understanding Taxi Travel Demand Patterns Through Floating Car Data
Nuzzolo, Agostino;Comi, Antonio;POLIMENI, ANTONIO
2019-01-01
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.| File | Dimensione | Formato | |
|---|---|---|---|
|
CSUM 2018_Paper Taxi Published.pdf
solo utenti autorizzati
Descrizione: full paper
Licenza:
Non specificato
Dimensione
916.39 kB
Formato
Adobe PDF
|
916.39 kB | Adobe PDF | Visualizza/Apri Richiedi una copia |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
