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Study of cargo bikes for parcel deliveries under different supply, demand and spatial conditions

机译:研究在不同的供求和空间条件下运送包裹的货运自行车

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The paper presents a model to estimate the demand of parcels by disaggregating nation-wide commodity flows. Secondly, the model generates parcel delivery tours to quantify transport-related effects. This model is applied to simulate parcel deliveries using cargo bikes. It consists of a two-step process: first, micro depots located close to the demand are fed with vans; second, parcels from micro depots to the customers are distributed by cargo bikes. The model simulates different shares of cargo bikes vs. motorized vans to deliver the same demand. We also studied the effect of micro depot densities and different parcel demand intensities in the same catchment area. Lastly, we compared the cargo bike tours at locations with different demand densities (parcels/km2). The results find beneficial effects of cargo bikes when the demand density and the share of cargo bikes is high. Under these conditions, the total vehicle-kilometer traveled and motorized vehicle emissions can be reduced.
机译:本文提出了一个模型,用于通过分解全国范围内的商品流来估计包裹的需求。其次,该模型生成包裹运送行程,以量化与运输相关的影响。该模型适用于模拟使用货运自行车的包裹交付。它由两步过程组成:首先,在需求附近的微型仓库中装上货车。第二,从微型仓库到客户的包裹是通过货运自行车分配的。该模型模拟了货运自行车与电动货车的不同份额,以提供相同的需求。我们还研究了在同一集水区,微型仓库密度和不同包裹需求强度的影响。最后,我们比较了在不同需求密度(包裹/公里 2 )。当需求密度和载货自行车的份额较高时,结果可发现载货自行车的有益效果。在这些条件下,可以减少行驶的总公里数和机动车辆的排放量。

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