Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size
Patronage of urban commercial clusters: A network-based extension of the Huff model for balancing location and size
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城市商业集群的赞助：哈夫模型的网络扩展，用于平衡位置和规模
DOI：
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发表时间：
2018
期刊：
影响因子：
--
通讯作者：
R. Kalvo
中科院分区：
文献类型：
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作者：
Andres Sevtsuk;R. Kalvo
我们引入了一个版本的赫夫零售支出模型，在该模型中，零售需求取决于家庭进入零售中心的机会。家庭层面的调查数据表明，零售中心系统中的零售总访问量取决于商店和顾客的相对位置模式。这种依赖揭示了一个重要的问题--在规划中的新城镇中，更有效的中心空间配置能否增加零售中心的总体访问量？为了回答这个问题，我们在Rhinoceros 3D中实现了该模型作为一个城市网络分析工具，其中可以沿着空间网络分析设施的客流量，并将其应用于新加坡蓬古尔新城的背景下。使用固定的家庭位置，我们首先测试了购物者是来自家庭还是在前往当地公共交通站的途中访问商店的假设对估计商店访问量的影响。然后，我们将使用自动化模拟来测试大量场景，探索调整商业中心的位置和规模如何最大化总体访问量。结果显示，对一个城镇已经规划的零售中心进行位置和规模调整，可以使估计的商店访问量增加10%。为这一分析开发的方法和工具可推广到其他背景下，以规划零售发展项目和其他公共设施，并对其进行适当的规模调整，以便最大限度地利用用户和利用设施。
We introduce a version of the Huff retail expenditure model, where retail demand depends on households’ access to retail centers. Household-level survey data suggest that total retail visits in a system of retail centers depends on the relative location pattern of stores and customers. This dependence opens up an important question—could overall visits to retail centers be increased with a more efficient spatial configuration of centers in planned new towns? To answer this question, we implement the model as an Urban Network Analysis tool in Rhinoceros 3D, where facility patronage can be analyzed along spatial networks and apply it in the context of the Punggol New Town in Singapore. Using fixed household locations, we first test how estimated store visits are affected by the assumption of whether shoppers come from homes or visit shops en route to local public transit stations. We then explore how adjusting both the locations and sizes of commercial centers can maximize overall visits, using automated simulations to test a large number of scenarios. The results show that location and size adjustments to already planned retail centers in a town can yield a 10% increase in estimated store visits. The methodology and tools developed for this analysis can be extended to other context for planning and right-sizing retail developments and other public facilities so as to maximize both user access and facilities usage.
DOI：
10.1016/j.jretconser.2015.08.013
发表时间：
2016-01-01
影响因子：
10.4
作者：
Dolega, Les;Pavlis, Michalis;Singleton, Alex
通讯作者：
Singleton, Alex