Modeling the impact of parking price policy on free-floating carsharing: Case study for Zurich, Switzerland
Modeling the impact of parking price policy on free-floating carsharing: Case study for Zurich, Switzerland
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DOI:
10.1016/j.trc.2017.01.022
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发表时间:
2017-04-01
影响因子:
8.3
通讯作者:
Axhausen, Kay W.
中科院分区:
文献类型:
--
作者:
Balac, Milos;Ciari, Francesco;Axhausen, Kay W.
The 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. (C) 2017 Elsevier Ltd. All rights reserved.