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Optimal Location Analysis of Delivery Parcel-Pickup Points Using AHP and Network Huff Model: A Case Study of Shiweitang Sub-District in Guangzhou City, China

机译:使用AHP和网络河流模型的送货包拾取点的最优定位分析 - 以广州市石圩分区为例

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摘要

The use of parcel-pickup points (PPPs) is an effective approach for solving the last-mile problem. However, few studies provide specific guidance for the optimal organization of PPPs. Here, a geographic information system(GIS)-based hybrid model was developed combining the widely used analytic hierarchy process (AHP) multi-criteria analysis method with the Huff model that predicts the number of visiting customers to determine the optimal facility for collaboration and service as a PPP. Using this model, a decision-maker can select the highest-ranking facility or use the fluctuation ranking graph to determine a priority list of candidate facilities according to the appropriate PPP service distance. Our findings suggest that the optimal candidate facility should be located near high population density areas, a dense road network, and few geographic barriers. The facility should have a high attractiveness value, long business hours, and convenient access to public transportation, cover a large, high-population area, and should be a retail chain store. Based on these findings, the AHP method can improve the accuracy of obtaining the facility attractiveness value using the Huff model. Facility attractiveness has a strong effect on the resulting number of customers in the case of acceptably long distances to residential buildings.
机译:Parcel-Pickup点(PPP)的使用是解决最后一英里问题的有效方法。然而,很少有研究为PPP的最佳组织提供了具体指导。这里,基于地理信息系统(GIS)的混合模型是组合广泛使用的分析层次处理(AHP)多标准分析方法与预测访问客户的次数以确定合作和服务的最佳设施作为ppp。使用此模型,决策者可以选择最高排名设施或使用波动排名图来根据适当的PPP服务距离确定候选设施的优先级列表。我们的研究结果表明,最佳候选设施应位于高人口密度区域附近,密集的道路网络和少数地理障碍。该设施应具有高吸引力,营业时间长,便于公共交通工具,覆盖大,高人口的区域,应成为零售连锁店。基于这些发现,AHP方法可以提高使用Huff模型获得获得设施吸引力值的准确性。设施吸引力对居住建筑可接受的长途距离的案件有很大的影响。

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