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Visitor expenditure estimation for grocery store location planning: a case study of Cornwall

机译:杂货店选址规划的访客支出估算:康沃尔案例研究

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摘要

Visitor expenditure is an important driver of demand in many local economies, supporting a range of services and facilities which may not be viable based solely on residential demand. In areas where self-catering accommodation is prevalent visitor demand makes up a considerable proportion of sales and revenue within grocery stores, yet this form of visitor consumption is commonly overlooked in supply and demand-side estimates of visitor spend. As such, store location planning in tourist resorts, decisions about local service provision and the local economic impacts of tourism are based on very limited demand-side estimates of visitor spend. Using Cornwall, South West England as a study area, we outline a methodology and data sources to estimate small-area visitor grocery spend. We use self-catering accommodation provision, utilisation and visitor expenditure rates as key factors driving visitor spend. We identify that the use of visitor accommodation accounts for the spatial and temporal complexities of visitor demand that may be overlooked when using alternative approaches, such as the up-scaling of residential demand. Using a spatial interaction model, we demonstrate that our expenditure estimates can be used to generate store level revenue estimation within tourist resorts, and we make a number of recommendations for service provision and store location planning in these areas.
机译:访客支出是许多当地经济需求的重要驱动因素,支持了仅基于居住需求可能无法实现的一系列服务和设施。在自炊式住宿占普遍的地区,游客需求在杂货店中占销售和收入的很大一部分,但是这种形式的游客消费在游客消费的供需侧估计中通常被忽略。因此,旅游胜地的商店位置规划,有关当地服务提供的决定以及旅游业对当地经济的影响都是基于对游客花费的需求侧估计非常有限的。以英格兰西南英格兰的康沃尔郡为研究区域,我们概述了一种方法和数据来源,以估算小区域游客的杂货支出。我们将自助式住宿的提供,利用率和访客支出率作为驱动访客消费的关键因素。我们发现,使用访客住宿可以解决访客需求在空间和时间上的复杂性,而在使用替代方法(例如扩大住房需求)时可能会忽略这一点。使用空间交互模型,我们证明了我们的支出估算可以用于在旅游胜地内生成商店级别的收入估算,并且针对这些地区的服务提供和商店位置规划提出了许多建议。

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