The location of retail stores and street centrality in Guangzhou, China

The location of retail stores and street centrality in Guangzhou, China
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中国广州零售店的位置和街道中心性

DOI:
10.1016/j.apgeog.2018.08.007
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发表时间:
2018-11-01
期刊:
影响因子:
4.9
通讯作者:
Liang, Yutian
Liang, Yutian
中科院分区:
地球科学2区
文献类型:
--
作者:
Lin, Geng;Chen, Xiaoxuan;Liang, Yutian

文献摘要

被引文献

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运输网络对零售商店的位置具有深远的影响,但是关于零售商店的位置与传统商业大都市中街头中心地位之间的关系很少。根据三个指数,即亲密,中间和直率,在多个中心度评估(MCA)模型中,我们使用兴趣点(POI)和街头网络数据分析了广州各种零售商店和街头中心地位的位置。结果表明,广州的街道中心性对零售商店的位置产生了很大的影响,并且不同的商店类型具有不同的中心性方向:(1)所有零售商店的位置与融入率最高,其次是紧密和直率。 (2)购物中心最喜欢街头中心地位,其次是便利店,专卖店,纺织品和服装店,超市,建筑材料商店和传统杂货店。 (3)除了传统的杂货店外,与街头中心,购物中心和便利店有价值的地点相关的杂货店,而其他零售商店类型往往会在较高的中间的地区分发。我们的发现可以帮助指导城市规划师设计商业活动区域和运输网络。
Transportation networks have a profound influence on the location of retail stores, but there has been little research on the relationship between the location of retail stores and street centrality in traditional commercial metropolises. Based on three indices, namely, closeness, betweenness, and straightness, in a multiple centrality assessment (MCA) model, we analyzed the location of various retail stores and street centrality in Guangzhou using points of interest (POI) and street network data. The results show that street centrality in Guangzhou has a large impact on the location of retail stores and that different store types have different centrality orientations: (1) The location of all retail stores correlates most highly with betweenness, followed by closeness and straightness. (2) Shopping malls favor street centrality most, followed by convenience stores, specialty stores, textile and clothing stores, supermarkets, building material stores, and traditional grocery stores. (3) Apart from traditional grocery stores, which are weakly correlated with street centrality, shopping malls and convenience stores value locations with better closeness, while the other retail store types tend to distribute in areas with better betweenness. Our findings can help guide urban planners in designing commercial activity zones and transportation networks.