TRACK-UK: Synthesized Census and Small Area Statistics for Transport and Energy

TRACK-UK：交通和能源综合人口普查和小区域统计

• 批准号: ES/Z50290X/1
• 负责人: Esra Suel
• 金额: $ 40.24万
• 依托单位: University College London
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2024
• 资助国家: 英国
• 起止时间: 2024 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FZ50290X%2F1
• 关键词: TRACK; UK; Synthesized; Census; Small

With the 'Net Zero Strategy: Build Back Greener' [1], the transport, energy, and building sectors in the UK are undergoing a paradigm shift. While this has clear environmental benefits, its potential impacts on social systems are often overlooked and there is no consistent approach for assessing equity impacts of net-zero initiatives. Yet, persistent inequalities are of significant concern in the UK, with the 10% richest households hold almost 50% of the country's wealth, in contrast to the bottom 50%, which holds only 9% [2]. Schemes and interventions that have untreated or unfair equity impacts rightly cause political issues, sometimes slowing or even stopping progress. With pressing climate change and energy crisis, it is crucial to create data products facilitating social science led research to guide an equitable net-zero transition.Social scientists have access to increasing amounts of data; however, the diversity of data structure and limited data integration tools pose challenges for effectively utilising available datasets [3]. New strategies are needed to integrate data from the UK census with the vast information collected via other channels to unlock novel research purposes. Providing research-ready data requires new methodological approaches in combining and creating data infrastructures and training resources that are specifically tailored for social scientists considering their interests and skills.The overall goal of this project is to develop methods, datasets, and training materials for facilitating social science research on impacts of UK's net-zero strategy. While the primary integration will be with the 2021/22 Census, earlier census data will also be used to analyse changes over time. The objective is to combine UK-wide socio-demographic data from the Census with metrics from existing surveys on energy use, efficiency, and mobility demand in smaller population samples. Objectives are:Define and compute metrics to track energy demand from households and individual mobility based on comprehensive evaluation of data availability in different UK regions,Develop and apply methods for generating small-area statistics at output area level (LSOA and MSOA) from energy and travel surveys.Update and augment population synthesis methods with latest census, energy, and mobility data.Demonstrate application of developed methods through case studies and publications focusing on equity in net-zero transition.Create open-source tools and training resources specifically tailored for social scientists.Execute dissemination and outreach activities to ensure researchers are well-informed about the developed data tools and methodologies, promoting wider use of Census data.This proposal fits within ESRC's funding opportunity scopes:services are in place to support researchers who wish to use UK census 2021/2 data for social science-led research.tools and research-ready datasets that enable research with census data have been created.researchers are more aware of the wide variety of census data that will become available and understand how to access and maximise their use of it.

随着“净零战略：重建更加绿色”[1]，英国的交通、能源和建筑行业正在经历范式转变。虽然这具有明显的环境效益，但其对社会系统的潜在影响往往被忽视，并且没有一致的方法来评估净零举措的公平影响。然而，持续的不平等在英国引起了重大关注，最富有的 10% 家庭拥有该国近 50% 的财富，而底层 50% 的家庭仅拥有 9% 的财富 [2]。未经处理或不公平影响公平的计划和干预措施理所当然地会引起政治问题，有时会减慢甚至停止进展。面对紧迫的气候变化和能源危机，创建促进社会科学主导的研究的数据产品以指导公平的净零转型至关重要。社会科学家可以获得越来越多的数据；然而，数据结构的多样性和有限的数据集成工具给有效利用可用数据集带来了挑战[3]。需要新的策略将英国人口普查的数据与通过其他渠道收集的大量信息整合起来，以实现新的研究目的。提供可用于研究的数据需要新的方法论方法来组合和创建数据基础设施和培训资源，这些基础设施和培训资源是专门为社会科学家量身定制的，考虑到他们的兴趣和技能。该项目的总体目标是开发方法、数据集和培训材料，以促进社会科学家的发展。关于英国净零排放战略影响的科学研究。虽然主要整合将与 2021/22 年人口普查进行，但早期的人口普查数据也将用于分析随时间的变化。目标是将人口普查的全英国社会人口统计数据与现有调查中有关较小人口样本的能源使用、效率和流动性需求的指标结合起来。目标是：根据对英国不同地区数据可用性的综合评估，定义和计算跟踪家庭和个人流动性能源需求的指标，开发和应用从能源和能源中生成输出区域级别（LSOA 和 MSOA）的小区域统计数据的方法。旅游调查。利用最新的人口普查、能源和流动性数据更新和增强人口综合方法。通过关注净零转型中公平性的案例研究和出版物来展示已开发方法的应用。创建专门为社会量身定制的开源工具和培训资源科学家.执行传播和外展活动，以确保研究人员充分了解已开发的数据工具和方法，促进人口普查数据的更广泛使用。该提案符合 ESRC 的资助机会范围：为希望使用 2021/2 年英国人口普查的研究人员提供服务支持用于社会科学主导的研究的数据。已经创建了能够利用人口普查数据进行研究的工具和研究就绪数据集。研究人员更加意识到将提供的各种人口普查数据并了解如何访问并最大限度地利用它。