自提点选址是企业推广顾客自提模式和抢占末端配送市场份额的战略决策之一。与其它物流设施不同,自提点直接面向顾客,顾客可选择是否接受区域中自提点的服务。为使顾客自提量最大化,考虑顾客如何选择目标自提点是至关重要的。为此,考虑顾客取货距离和自提点吸引力等因素,基于竞争选址和逐渐覆盖理论,设计了顾客对自提点的分段效用函数。在此基础上,利用MNL模型和需求弹性函数分别构建了随机选择模型和最优选择模型。为高效地求解模型,设计了免疫算法,并用一个随机算例进行验证。结果显示,顾客选择行为对自提点选址有重要的影响,企业在作决策之前有必要详实地调查顾客的选择行为。 Since mentioning site selection is to promote customer self-service model and to seize the market share of one of the final distribution strategy. Different from other logistics facilities, customers can choose whether or not to accept the service in the area since the mention point directly to customers. To maximize customer self-sufficiency, it is important to consider how customers choose their goals. Therefore, considering the factors such as customer pick-up distance and self-mention attraction, based on competition location and gradual covering theory, the customer segmentation function is designed. On this basis, the random selection model and the optimal selection model are respectively constructed by using the MNL model and the demand elasticity function. To solve the model efficiently, an immune algorithm is designed and verified with a randomized example. The results show that customer choice behavior has an important impact on the location of self-referential sites. Before making decisions, it is necessary for the enterprise to conduct a detailed investigation of customer choice behavior.