The Determinants of Double Energy Vulnerability: A Geospatial Analysis, 2011-2024

This data collections consists of data and documentation produced to examine the spatial and social differences in people’s lack of access to adequate energy and transport services in the United Kingdom (UK). The work responds to the need for developing a differentiated understanding of both the drivers and expressions of this ‘double energy vulnerability’, while seeking to integrate and analyse relevant information from all four UK nations. Using a variety of statistically representative census and survey datasets, the project developed a series of multi-dimensional indices to map transport- and energy-related injustices. This was followed by a cluster analysis to examine broad-level geographical patterns, and a Geographically Weighted Regression model to explore the spatial variation of vulnerabilities related to contingencies such as income, ethnicity and housing. The work corroborates the results of previous qualitative studies, and research within selected UK nations, while revealing a number of unexpected territorial clusters and underpinnings of infrastructural injustice.

这个数据集包含用于研究英国（United Kingdom, UK）民众在获取充足能源与交通服务方面存在的空间及社会差异的数据与文档资料。该研究旨在回应深化对“双重能源脆弱性”（double energy vulnerability）的驱动因素与表现形式差异化理解的需求，同时力求整合并分析来自英国四个构成国的相关信息。项目团队利用多种具有统计代表性的人口普查与调查数据集，构建了一系列多维度指数，用于描绘交通与能源相关的不公现象分布。随后，研究开展了聚类分析以探究宏观地理模式，并运用地理加权回归模型（Geographically Weighted Regression model）分析与收入、种族及住房等偶然因素相关的脆弱性空间变异特征。该研究验证了先前定性研究及英国部分地区相关研究的结果，同时揭示了若干意外的区域集群现象与基础设施不公的深层根源。