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Analysis of the effect of charging needs on battery electric vehicle drivers' route choice behaviour: A case study in the Netherlands

机译:充电需求对电动汽车驾驶员路线选择行为的影响分析:以荷兰为例

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Electric travelling appears to dominate the transport sector in the near future due to the needed transition from internal combustion vehicles (ICV) towards Electric Vehicles (EV) to tackle urban pollution. Given this trend, investigation of the EV drivers' travel behaviour is of great importance to stakeholders including planners and policymakers, for example in order to locate charging stations. This research explores the Battery Electric Vehicle (BEV) drivers route choice and charging preferences through a Stated Preference (SP) survey. Collecting data from 505 EV drivers in the Netherlands, we report the results of estimating a Mixed Logit (ML) model for those choices. Respondents were requested to choose a route among six alternatives: freeways, arterial ways, and local streets with and without fast charging. Our findings suggest that the classic route attributes (travel time and travel cost), vehicle-related variables (state-of-charge at the origin and destination) and charging characteristics (availability of a slow charging point at the destination, fast charging duration, waiting time in the queue of a fast-charging station) can influence the BEV drivers route choice and charging behaviour significantly. When the state-of-charge (SOC) at the origin is high and a slow charger at the destination is available, routes without fast charging are likely to be preferred. Moreover, local streets (associated with slow speeds and less energy consumption) could be preferred if the SOC at the destination is expected to be low while arterial ways might be selected when a driver must recharge his/her car during the trip via fast charging.
机译:由于需要从内燃机车(ICV)过渡到电动车(EV)来应对城市污染,因此电动旅行在不久的将来似乎将主导运输行业。在这种趋势下,对电动汽车驾驶员的出行行为进行调查对于包括计划者和政策制定者在内的利益相关者来说非常重要,例如以便找到充电站。这项研究通过状态偏好(SP)调查来探索电池电动汽车(BEV)驾驶员的路线选择和充电偏好。我们从荷兰的505个EV驾驶员那里收集了数据,我们报告了针对这些选择估算的混合Logit(ML)模型的结果。要求受访者在六种备选方案中选择一条路线:高速公路,主干道以及有或没有快速充电的当地街道。我们的发现表明,经典路线属性(旅行时间和旅行成本),与车辆相关的变量(始发地和目的地的充电状态)和充电特性(目的地处充电点慢,可充电时间长,快速充电站队列中的等待时间)会严重影响BEV驾驶员的路线选择和充电行为。当始发地的充电状态(SOC)高且目的地处有慢速充电器时,可能会首选不带快速充电的路线。此外,如果预计目的地的SOC较低,而在行驶途中驾驶员必须通过快速充电为他/她的汽车充电时,可以选择动脉方式,则最好选择当地的街道(与慢速行驶和较少的能量相关)。

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