Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations
Estimating attractiveness, hierarchy and catchment area extents for a national set of retail centre agglomerations
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DOI：
10.1016/j.jretconser.2015.08.013
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发表时间：
2016-01-01
影响因子：
10.4
通讯作者：
Singleton, Alex
中科院分区：
文献类型：
--
作者：
Dolega, Les;Pavlis, Michalis;Singleton, Alex
有一个遗产的研究，旨在概念化和经验估计零售商店的集水区，然而，缺乏框架内的零售聚集及其在区域或国家网络中的位置的背景下，这样的考虑。因此，本文提供了一个扩展到单个商店或购物中心的零售流域估计技术，并提出了一个经验指定和测试的生产约束模型的全国网络的零售中心在英国。我们的模型考虑到潜在客户和零售中心的层次网络之间的空间相互作用，以估计光顾概率和集水范围。该模型是测试一个大都市区与真实的世界购物流量通过调查记录的购物者。最后，我们提出了一个开源的软件工具，自定义模型拟合，并讨论了一系列的理论和经验的挑战，这样的模型。(C)2015年，作者。由Elsevier Ltd.发布。这是CC BY许可下的开放获取文章（htip：//creativecommons.org/licenses/by/4.0/）。
There is a legacy of research aiming to conceptualise and empirically estimate retail store catchment areas, however, a dearth that frames such considerations within the context of retail agglomerations and their position within regional or national networks. As a result, this paper provides an extension to single store or shopping centre retail catchment estimation techniques, and presents an empirically specified and tested production constrained model for a national network of retail centres in the UK. Our model takes into account the spatial interactions between potential customers and a hierarchical network of retail centres to estimate patronage probabilities and catchment extents. The model is tested for a large metropolitan area vis-a-vis real world shopping flows recorded through a survey of shoppers. Finally, we present an open source software tool for custom model fitting, and discuss a range of theoretical and empirical challenges that such a model presents. (C) 2015 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY license (htip://creativecommons.org/licenses/by/4.0/).