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Understanding And Modeling Taxi Demand Using Time Series Models, Sabiheh Faghih
Understanding And Modeling Taxi Demand Using Time Series Models, Sabiheh Faghih
Dissertations and Theses
The spatio-temporal variations in demand for transportation, particularly taxis, are impacted by various factors such as commuting, weather, road work and closures, disruption in transit services, etc. Identifying the factors that influence taxi demand and understanding its dynamic provide planners with the information necessary to improve the transportation systems and also help drivers to reduce their vacant time.
This dissertation focuses on important factors affecting the demand. In the beginning, the impact of price changes on the demand is studied. Chapter One discusses how the seasonal effects and trends are removed from the demand, and then price elasticity for demand …