A scale-based analysis of retail store location profitability

截至2017年5月17日与Local Data Company Ltd.的协议附件1的项目该项目首先进行了广泛的文献审查，以期在早期研究的基础上对是什么推动零售盈利能力有广泛的了解。在对伦敦市中心的客流量和竞争进行调查期间，我注意到，将类似的零售商隔离在一个小区域会推动客流量，可能还会推动该地点的盈利能力。这是一种有趣的做法，打破了零售商应该远离竞争对手的普遍信念。我最感兴趣的是研究这样的目标：“a)客流量和盈利能力有多相关？b)租金成本和盈利能力？”关于盈利能力和驱动不同地区盈利能力的因素的空间分析，为零售商在选择业务地点时做出更好的决策提供了有价值的见解。了解数据驱动的洞察的重要性，可能会激励零售合作伙伴与LDC合作，从而产生更准确的分析。

Project as at Annex 1 of the Agreement date 17 May 2017 with Local Data Company LtdThe project begins with an extensive literature review to develop wide-ranging understanding of what drives retail profitability based on earlier studies. During the surveys on footfall and competition in London city centre, I have noted that segregation of similar retailers in one small area drives footfall and possibly also profitability of the location. This is an interesting approach to a common belief that retailers should stay far from competitors. I am most interested to study objectives such as "How correlated are a) footfall and profitability b) rental cost and profitability?" and "How do those correlations change spatially?".Spatial analyses about profitability and factors, which drive profitability in different locations provides retailers valuable insights for better decision-making, when choosing a location for their business. Understanding the importance of data driven insights, would potentially motivate retail partners to collaboration with LDC resulting in more exact analyses.