Beyond retail: New ways of classifying UK shopping and consumption spaces
Beyond retail: New ways of classifying UK shopping and consumption spaces
复制标题
DOI：
10.1177/2399808319840666
复制
发表时间：
2021-01-01
影响因子：
3.5
通讯作者：
Pavlis, Michalis
中科院分区：
文献类型：
--
作者：
Dolega, Les;Reynolds, Jonathan;Pavlis, Michalis
早期对购物活动进行分类的尝试往往采用相对简单的方法，这在很大程度上是因为除了店铺招牌名称以及按中心统计的零售店数量之外，缺乏可靠的数据。当代学者、商业研究咨询机构和零售商似乎达成了一种共识，即更全面的分类将引发对城市经济格局变化更有见地的讨论，并为更有效地比较不同时空的零售中心提供基础，特别是考虑到新数据源和技术的可用性以及当前影响零售业的变革性变化的背景。本文试图通过在严格规定的分类方法内整合新的可用数据源，来展示零售服务的供需之间的相互关系。这进而为英国消费空间的多维动态分类提供了新的见解。首先，这种贡献意义重大，因为它使文献中的讨论从零售中心功能的简单线性缩放转向对多种功能形式更细致入微的理解；其次，因为它提供了一个全国性的比较和动态框架，通过该框架可以评估零售结构的演变。利用非层次聚类技术，结果以两层分类的形式呈现，包括5个独特的“粗略”聚类和15个更详细且嵌套的子聚类。本文的结论是，这种更细致入微和动态的分类有助于更有效地洞察零售业和消费者服务在城市地区跨空间和随时间变化的角色，并将对各种利益相关者产生影响。
Early attempts to classify shopping activity often took a relatively simple approach, largely driven by the lack of reliable data beyond fascia name and retail outlet counts by centre. There seems to be a consensus amongst contemporary scholars, commercial research consultancies and retailers that more comprehensive classifications would generate better-informed debate on changes in the urban economic landscape, as well as providing the basis for a more effective comparison of retail centres across time and space, particularly given the availability of new data sources and techniques and in the context of the transformational changes presently affecting the retail sector. This paper seeks to demonstrate the interrelationship between supply and demand for retailing services by integrating newly available data sources within a rigorously specified classification methodology. This in turn provides new insight into the multidimensional and dynamic taxonomy of consumption spaces within Great Britain. First, such a contribution is significant in that it moves debate within the literature past simple linear scaling of retail centre function to a more nuanced understanding of multiple functional forms; and second, in that it provides a nationally comparative and dynamic framework through which the evolution of retail structures can be evaluated. Using non-hierarchical clustering techniques, the results are presented in the form of a two-tier classification with 5 distinctive 'coarse' clusters and 15 more detailed and nested sub-clusters. The paper concludes that more nuanced and dynamic classifications of this kind can help deliver more effective insights into changing role of retailing and consumer services in urban areas across space and through time and will have implications for a variety of stakeholders.