HighlightsWe present a methodology for modeling the influence of parking price policies on free-floating carsharing.Increase of the parking prices leads to the increase of the usage of free-floating vehicles.Free-floating vehicles use public parking spaces more efficiently than private vehicles.With increasing parking prices, parking occupancy by free-floating vehicles becomes more homogenous in space.
AbstractThe research on carsharing has already shown that a non-negligible part of carsharing members give up a vehicle after joining a carsharing program, or avoid a vehicle purchase. This arguably reduces overall parking space needed. This might well be one of the most important impacts of a carsharing program on the transportation system, but also one of the least researched. The rapid diffusion of free-floating carsharing, which for its very nature might have a stronger impact on parking, makes the relationship between carsharing and parking an appealing topic for new research. This work presents a method for the investigation of this relationship using an agent-based simulation and explores the impacts of different parking prices on the demand for free-floating carsharing in the city of Zurich, Switzerland. Three levels of free-floating fleet-size in the city of Zurich coupled with three levels of parking prices were simulated. The obtained results show that free-floating vehicles are able to use parking spaces more efficiently than private vehicles. Moreover, the average parking occupancy tends to be more homogeneous with higher fleet-size of free-floating carsharing and with the increase of parking prices, thus avoiding spatial parking pressure peaks.
Modeling the impact of parking price policy on free-floating carsharing: Case study for Zurich, Switzerland
Tramsportation Research, Part C: Emerging Technologies ; 77 ; 207-225
2017-01-26
19 pages
Article (Journal)
Electronic Resource
English
Carsharing , Free-floating , Parking , MATSim
Transportation Research Record | 2010
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