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

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:
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
项目状态:
未结题
起止时间:
2024 至 --

项目摘要

项目成果

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中文摘要
翻译
随着“净零战略:重建绿色”[1],英国的交通、能源和建筑行业正在经历一场范式转变。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,而且没有一致的办法来评估净零倡议对公平的影响。然而,持续的不平等在英国令人担忧,最富有的10%的家庭拥有全国近50%的财富,相比之下,最贫穷的50%的家庭只拥有9%的财富[2]。对公平产生未经处理或不公平影响的计划和干预措施理所当然地会引发政治问题,有时会减缓甚至阻止进展。随着紧迫的气候变化和能源危机,创建数据产品至关重要,以促进社会科学主导的研究引导公平的净零过渡。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对有效利用可用的数据集构成了挑战[3]。需要新的战略,将英国人口普查数据与通过其他渠道收集的大量信息整合起来,以发掘新的研究目的。提供可供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,这些资源是考虑到社会科学家的兴趣和技能而专门为他们量身定做的。该项目的总体目标是开发方法、数据集和培训材料,以促进社会科学研究英国净零战略的影响。虽然主要的整合将是与2021/22年人口普查,但早期的人口普查数据也将用于分析随着时间的推移而发生的变化。其目标是将来自人口普查的全英国社会人口数据与现有调查中关于较小人口样本中的能源使用、效率和流动性需求的指标结合起来。目标是:基于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的能源需求的指标;开发和应用方法,根据能源和旅行调查生成输出区层面的小区域统计数据。使用最新的人口普查、能源和流动性数据更新和增强人口综合方法。通过案例研究和出版物演示开发方法的应用,重点关注净零过渡中的公平。创建专门为社会科学家量身定做的开源工具和培训资源。执行传播和外联活动,以确保研究人员充分了解开发的数据工具和方法,促进更广泛地使用人口普查数据。这项建议符合ESRC的资助机会范围:服务到位,以支持希望使用英国人口普查2021/2数据进行社会科学主导研究的研究人员。已经创建了工具和研究就绪数据集,使研究能够利用人口普查数据进行研究。研究人员更了解将获得的各种人口普查数据,并了解如何获取和最大限度地使用这些数据。
英文摘要
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.
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