The problem of location is the cornerstone of strategic decisions in retail management. This decision is usually complex and multidimensional. One of the most relevant success factors is an adequate balanced tenancy, i.e., a complementary ecosystem of retail stores in the surroundings, both in planned and unplanned areas. In this paper, we use network theory to analyze the commercial spatial interactions in all the cities of Castile and Leon (an autonomous community in north-western Spain), Madrid, and Barcelona. Our approach encompasses different proposals both for the definition of the interaction networks and for their subsequent analyses. These methodologies can be used as pre-processing tools to capture features that formalize the relational dimension for location recommendation systems. Our results unveil the retail structure of different urban areas and enable a meaningful comparison between cities and methodologies. In addition, by means of consensus techniques, we identify a robust core of commercial relationships, independent of the particularities of each city, and thus help to distinguish transferable knowledge between cities. The results also suggest greater specialization of commercial space with city size.

区位问题是零售管理中战略决策的基石。这个决定通常是复杂和多维的。最相关的成功因素之一是适当的均衡租赁，即在计划内和计划外区域内的零售商店的互补生态系统。在本文中，我们使用网络理论分析了卡斯蒂利亚和莱昂（西班牙西北部的一个自治社区），马德里和巴塞罗那所有城市的商业空间互动。我们的方法为交互网络的定义及其后续分析包含了不同的建议。这些方法可以用作预处理工具，以捕获将位置推荐系统的关系维度形式化的功能。我们的结果揭示了不同城市地区的零售结构，并使城市和方法之间能够进行有意义的比较。此外，借助共识技术，我们确定了牢固的商业关系核心，而与每个城市的特殊性无关，从而有助于区分城市之间的可转让知识。结果还表明，随着城市规模的扩大，商业空间的专业化程度也越来越高。