Geodemographics and spatial interaction: an integrated model for higher education
Geodemographics and spatial interaction: an integrated model for higher education
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DOI：
10.1007/s10109-010-0141-5
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发表时间：
2012-04
影响因子：
2.9
通讯作者：
Alex Singleton;Alan Wilson;O. O’Brien
中科院分区：
文献类型：
--
作者：
Alex Singleton;Alan Wilson;O. O’Brien
空间相互作用建模和地理人口分析各自发展成为完全独立的研究传统。在本文中，我们提出了一个综合模型，利用空间相互作用建模的力量，从地理人口分类的行为见解。这种方法适用于参与高等教育的建模。本文的一个新特点是整合了全国学校，学院和高等教育数据;然后对实际记录的学生进入高等教育的流量进行校准和测试。该模型是在Java框架内实现的，并作为第一步，提供了一个定量的工具，可用于HE利益相关者探索有关政策等主题，扩大代表性不足的群体。
Spatial interaction modelling and geodemographic analysis have each developed as quite separate research traditions. In this paper, we present an integrated model that harnesses the power of spatial interaction modelling to behavioural insights derived from a geodemographic classification. This approach is applied to the modelling of participation in higher education (HE). A novel feature of the paper is the integration of national schools, colleges and HE data; a national model is then calibrated and tested against actual recorded flows of students into HE. The model is implemented within a Java framework and is presented as a first step towards providing a quantitative tool that can be used by HE stakeholders to explore policies relating to such topics as widening access to under-represented groups.