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Location Intelligence: An Innovative Approach to Business Location Decision-making

机译：位置情报：商业位置决策的创新方法

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摘要

As one of the leading 'world cities', London is particularly reliant on sources of foreign direct investment (FDI). In the face of increasing global competition and a difficult economic climate, the capital must compete effectively to encourage and support such investors. Through a collaborative study with London's official FDI promotion agency, Think London, the need for a coherent framework for data, methodologies and tools to inform business location decision-making became apparent. This article discusses the development of a rich environment to explore, compare and rank London's business neighbourhoods. This is achieved through the development and evaluation of a model for location-based decision support. First, we discuss the development of a geo-business classification for London which draws upon methods and practices common in geodemographic neighbourhood classification. A geo-business classification is developed, encapsulating relevant location variables using Principal Components Analysis into a set of composite area profiles. Second, we discuss the implementation of an appropriate Multi-Criteria Decision Making methodology, in this case Analytical Hierarchy Process (AHP), enabling the aggregation of the geo-business classification and decision-makers' preferences into discrete decision alternatives. Finally, we present the results of the integration of both data and model through the development and evaluation of a web-based prototype.
机译：作为领先的“世界城市”之一，伦敦特别依赖外国直接投资（FDI）的来源。面对日益加剧的全球竞争和艰难的经济环境，首都必须进行有效竞争以鼓励和支持此类投资者。通过与伦敦官方外国直接投资促进机构Think London的合作研究，对于为业务位置决策提供依据的数据，方法和工具的统一框架的需求变得显而易见。本文讨论了丰富的环境的发展，以探索，比较和排名伦敦的商业区。这是通过开发和评估基于位置的决策支持模型来实现的。首先，我们讨论了伦敦地理业务分类的发展，该分类借鉴了地理人口邻里分类中常见的方法和实践。开发了地理业务分类，使用主成分分析将相关的位置变量封装到一组复合区域轮廓中。其次，我们讨论了适当的多准则决策方法的实施，在本例中为层次分析法（AHP），该方法使地理业务分类和决策者的偏好聚合为离散的决策选择。最后，我们通过开发和评估基于Web的原型来介绍数据和模型集成的结果。

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