| 来源类型 | Article |
| 规范类型 | 其他 |
| DOI | 10.1007/s12061-017-9233-7 |
| Developing an Individual-level Geodemographic Classification. | |
| Burns L; See L; Heppenstall A; Birkin M | |
| 发表日期 | 2018 |
| 出处 | Applied Spatial Analysis and Policy 11 (3): 417-437 |
| 出版年 | 2018 |
| 语种 | 英语 |
| 摘要 | Geodemographics is a spatially explicit classification of socio-economic data, which can be used to describe and analyse individuals by where they live. Geodemographic information is used by the public sector for planning and resource allocation but it also has considerable use within commercial sector applications. Early geodemographic systems, such as the UK’s ACORN (A Classification of Residential Neighbourhoods), used only area-based census data, but more recent systems have added supplementary layers of information, e.g. credit details and survey data, to provide better discrimination between classes. Although much more data has now become available, geodemographic systems are still fundamentally built from area-based census information. This is partly because privacy laws require release of census data at an aggregate level but mostly because much of the research remains proprietary. Household level classifications do exist but they are often based on regressions between area and household data sets. This paper presents a different approach for creating a geodemographic classification at the individual level using only census data. A generic framework is presented, which classifies data from the UK Census Small Area Microdata and then allocates the resulting clusters to a synthetic population created via microsimulation. The framework is then applied to the creation of an individual-based system for the city of Leeds, demonstrated using data from the 2001 census, and is further validated using individual and household survey data from the British Household Panel Survey. |
| 主题 | Ecosystems Services and Management (ESM) |
| 关键词 | Geodemographics Small area microdata Individual Census Classification |
| URL | http://pure.iiasa.ac.at/id/eprint/14796/ |
| 来源智库 | International Institute for Applied Systems Analysis (Austria) |
| 引用统计 | |
| 资源类型 | 智库出版物 |
| 条目标识符 | http://119.78.100.153/handle/2XGU8XDN/131230 |
| 推荐引用方式 GB/T 7714 | Burns L,See L,Heppenstall A,et al. Developing an Individual-level Geodemographic Classification.. 2018. |
| 条目包含的文件 | ||||||
| 文件名称/大小 | 资源类型 | 版本类型 | 开放类型 | 使用许可 | ||
| Burns2018_Article_De（2289KB） | 智库出版物 | 限制开放 | CC BY-NC-SA | 浏览 | ||
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