Predictive Geodemographics

预测地理人口统计学

• 批准号: 1944002
• 金额: --
• 依托单位: University of Leeds
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2017
• 资助国家: 英国
• 起止时间: 2017 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-1944002
• 关键词: Predictive; Geodemographics

One of the many criticisms of geodemographics is that they are static - typically build using census data, they are out of date as soon as they are released, a snap shot of what the population was like 3 years previously (this is, on average, the time taken for census agencies to release census data). The next step is to make geodemographics dynamic - what do people truly look like now, and what changes in their characteristics or circumstances will move them into another segment? This is important for timely communication, in for example, marketing activities. However if long-term customer value is considered, it is what the consumer will look like three or five years hence that becomes important. The ability to identify the association of individuals with a defined social trajectory, a socio-economic path through life, is a powerful concept. Using new forms of data, is it possible to build a geodemographic system for the UK, that provides a predictive path through a CAMEO-like hierarchy, to enable our customers to evaluate consumers' lifetime value, and also serve up the right mix of timely information for consumers to make better decisions?

对地理人口统计学的众多批评之一是，它们是静态的--通常是根据人口普查数据建立的，一旦发布就会过时，这是对3年前人口状况的快照(这是人口普查机构发布人口普查数据的平均时间)。下一步是使地理人口统计动态化--人们现在到底是什么样子，他们的特征或环境的变化会使他们进入另一个细分市场？这对于及时沟通非常重要，例如，在营销活动中。然而，如果考虑到长期客户价值，那么三到五年后消费者会是什么样子就变得重要了。能够确定个人与确定的社会轨迹和生活中的社会经济路径的联系，是一个强大的概念。使用新形式的数据，是否有可能为英国建立一个地理人口统计系统，通过客串的层次结构提供预测路径，使我们的客户能够评估消费者的终身价值，并为消费者提供正确的及时信息组合，以做出更好的决策？

项目成果

Identifying Neighbourhood Change Using a Data Primitive Approach: the Example of Gentrification

• DOI: 10.1007/s12061-023-09509-y
• 发表时间: 2023-03
• 期刊: Applied Spatial Analysis and Policy
• 影响因子: 1.9
• 作者: J. Gray;Lisa Buckner;A. Comber

Extending Geodemographics Using Data Primitives: A Review and a Methodological Proposal

使用数据原语扩展地理人口统计学：回顾和方法建议

• DOI: 10.3390/ijgi10060386
• 发表时间: 2021
• 期刊: ISPRS International Journal of Geo-Information
• 影响因子: 3.4
• 作者: Gray J

Exploring social dynamics: predictive geodemographics

探索社会动态：预测地理人口统计学

• 发表时间: 2019
• 作者: Gray J