Abstract Studies on the distribution of retail outlets are crucial for optimizing urban resource allocation, and their rationalized layout plays an important role in developing urban economies and meeting consumer demand. However, the literature on the subject has been limited by data collection. In the era of big data, there has been an emergence of geo-referenced data that are more accurate and convenient and thus more able to be applied in the retail analysis. This study addresses this lacuna by exploring the spatial distribution of various retail outlets with the application of points of interest. Our study demonstrates that (1) the retail outlets in Urumqi are concentrated in the inner city. The inner-city area has a higher density distribution of retail outlets, and the development of the retail function is more mature. (2) Various categories of retail outlets display dissimilar agglomeration characteristics and hot spots. Specialty stores, clothing and footwear stores, convenience stores, and home-building material markets have lower average nearest-neighbor distances. (3) The retail outlets in the subject area are directionally distributed in the northwest–southeast direction, which is the result of both the topographical condition and government intervention in Urumqi. (4) Various categories of retail outlets tend to agglomerate at different scales. These results are conducive to the exploration of the location rules and layout preferences of retail locations, and they provide a reference for guiding the adjustment and optimization of retail layouts.

中文翻译：

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乌鲁木齐市零售网点空间分布：兴趣点的应用

摘要 零售网点布局研究是优化城市资源配置的关键，其合理布局对发展城市经济、满足消费需求具有重要作用。然而，关于该主题的文献受到数据收集的限制。在大数据时代，出现了更准确、更方便、更能应用于零售分析的地理参考数据。本研究通过应用兴趣点探索各种零售店的空间分布来解决这一空白。我们的研究表明（1）乌鲁木齐的零售网点集中在市中心。内城区零售网点分布密度更高，零售功能发展更加成熟。（二）各类零售网点集聚特征和热点不同。专卖店、服装和鞋类商店、便利店和家居建材市场的平均最近邻距离较低。(3) 主题区内的零售网点呈西北—东南方向分布，这是乌鲁木齐的地形条件和政府干预共同作用的结果。(4) 各类零售网点趋于不同规模的集聚。这些结果有利于探索零售点的区位规律和布局偏好，为指导零售布局的调整和优化提供参考。服装和鞋类商店、便利店和家居建材市场的平均最近邻距离较低。(3) 主题区内的零售网点呈西北—东南方向分布，这是乌鲁木齐的地形条件和政府干预共同作用的结果。(4) 各类零售网点趋于不同规模的集聚。这些结果有利于探索零售点的区位规律和布局偏好，为指导零售布局的调整和优化提供参考。服装和鞋类商店、便利店和家居建材市场的平均最近邻距离较低。(3) 主题区内的零售网点呈西北—东南方向分布，这是乌鲁木齐的地形条件和政府干预共同作用的结果。(4) 各类零售网点趋于不同规模的集聚。这些结果有利于探索零售点的区位规律和布局偏好，为指导零售布局的调整和优化提供参考。这是乌鲁木齐的地形条件和政府干预的结果。(4) 各类零售网点趋于不同规模的集聚。这些结果有利于探索零售点的区位规律和布局偏好，为指导零售布局的调整和优化提供参考。这是乌鲁木齐的地形条件和政府干预的结果。(4) 各类零售网点趋于不同规模的集聚。这些结果有利于探索零售点的区位规律和布局偏好，为指导零售布局的调整和优化提供参考。