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Impact of Congestion Pricing Policies in Round-Trip and Free-Floating Carsharing Systems

机译:在往返和自由浮动系统中拥挤定价政策的影响

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Carsharing is a short-period car rental system where being member is the first step to have access to its services. In a previous study a membership choice model of the city of Berlin was estimated using the agent-based model MATSim and discrete choice theory. Results have shown two distinct member profiles: two-way members use the system for primarily pre-planned long trips while free-floating members usually employ the service as a substitute to private cars in pursuing daily activities. Starting from the developed membership model this study investigates how congestion pricing policies affect carsharing mode choice by implementing different price ranges and applying them in MATSim on the synthetic population of Berlin in order to assess the system behaviour during an ordinary day. Results show an increase of carsharing choice with different impact and a decrease of car mode usage. Free-floating service customers decreased their travel distance, as congestion pricing impacts their choices more than travel cost in a daily user's plan, instead they do not change their willingness to access to the service. Two-way customers are not affected by congestion pricing as the service is used as a substitute of both public transport and private car.
机译:Carsharing是一个短期的汽车租赁系统,担任成员是获得其服务的第一步。在之前的一项研究中,使用基于代理的模型和离散选择理论估计了柏林市的会员选择模型。结果显示了两种不同的成员轮廓:双向成员使用该系统主要预先计划的长途旅行,而自由浮动成员通常使用该服务作为追求日常活动的私人车。从发达的会员模型开始,本研究调查了通过实施不同的价格范围并将其应用于柏林合成群体的Matsim,以便在平凡的日期来评估系统行为的情况下,调查拥塞定价策略如何影响汽车模式选择。结果表明,具有不同影响和汽车模式使用减少的碳化选择增加。自由浮动服务客户降低了他们的旅行距离,因为拥堵定价影响他们的选择超过日常用户计划中的旅行费用,而是他们不会改变他们访问服务的意愿。双向客户不受拥塞定价的影响,因为该服务被用作公共交通和私人汽车的替代品。

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