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
基本信息
- 批准号:ES/Z50290X/1
- 负责人:
- 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
- 起止时间:2024 至 无数据
- 项目状态:未结题
- 来源:
- 关键词:
项目摘要
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.
随着“净零策略:恢复绿色” [1],英国的运输,能源和建筑部门正在经历范式转变。尽管这具有明显的环境利益,但其对社会系统的潜在影响通常被忽略,并且没有一致评估零零倡议的公平影响的一致方法。然而,在英国,持续的不平等值得关注,与最低的50%相比,最富有的家庭占该国近50%的财富,只有9%[2]。未经处理或不公平的公平的计划和干预措施正确地影响了政治问题,有时会放缓甚至停止进步。由于紧迫的气候变化和能源危机,至关重要的是创建促进社会科学的数据产品LED研究以指导公平的零过渡。社会科学家可以访问越来越多的数据。但是,数据结构和有限数据集成工具的多样性提出了有效利用可用数据集的挑战[3]。需要采取新的策略来将英国人口普查的数据与通过其他渠道收集的大量信息集成以解锁新的研究目的。提供研究就绪的数据需要在结合和创建数据基础架构和培训资源方面采用新的方法论方法,这些方法是专门针对考虑其兴趣和技能的社会科学家量身定制的。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对英国净ZEORE策略影响的社会科学研究。虽然主要集成将与2021/22人口普查,但较早的人口普查数据也将用于分析随着时间的推移变化。目的是将普查的英国范围内的社会人口统计数据与较小人口样本中现有的有关能源使用,效率和流动需求的现有调查的指标相结合。目标是:定义和计算指标以基于对不同地区数据可用性的全面评估来跟踪家庭和个人流动性的能力,开发和应用方法,以从能源和旅行调查中产生产出面积水平的小区域统计数据(LOSOA和MSOA)。 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研究。已经创建了可以使用人口普查数据进行研究的工具和研究的数据集。研究人员更加了解各种各样的人口普查数据,这些数据将变得可用,并了解如何访问和最大程度地利用其使用情况。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Esra Suel其他文献
Development of joint models for channel, store, and travel mode choice: Grocery shopping in London
开发渠道、商店和出行模式选择的联合模型:伦敦杂货店购物
- DOI:
10.1016/j.tra.2017.03.009 - 发表时间:
2017 - 期刊:
- 影响因子:6.4
- 作者:
Esra Suel;J. Polak - 通讯作者:
J. Polak
Vehicle-to-grid for car sharing - A simulation study for 2030
- DOI:
10.1016/j.apenergy.2024.123731 - 发表时间:
2024-10-15 - 期刊:
- 影响因子:
- 作者:
Nina Wiedemann;Yanan Xin;Vasco Medici;Lorenzo Nespoli;Esra Suel;Martin Raubal - 通讯作者:
Martin Raubal
Street-View Greenspace Exposure and Objective Sleep Characteristics
街景绿地暴露和客观睡眠特征
- DOI:
10.1289/isee.2021.p-192 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Marcia P. Jimenez;Esra Suel;S. L. R. Shiman;P. Hystad;A. Larkin;S. Hankey;A. Just;E. Oken;Peter James - 通讯作者:
Peter James
Meta-learning of representations for spatially related imagery
空间相关图像表示的元学习
- DOI:
- 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
M. Volpi;Esra Suel;Fernando P´erez;January - 通讯作者:
January
Street-View Greenspace Exposure and Objective Daily Rest-Activity Patterns
街景绿地暴露和客观的每日休息活动模式
- DOI:
10.1289/isee.2021.p-198 - 发表时间:
2021 - 期刊:
- 影响因子:0
- 作者:
Peter James;Esra Suel;S. L. R. Shiman;P. Hystad;A. Larkin;S. Hankey;A. Just;E. Oken;M. Jimenez - 通讯作者:
M. Jimenez
Esra Suel的其他文献
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{{ truncateString('Esra Suel', 18)}}的其他基金
Application of deep learning to heterogeneous open data for measuring urban environment and health
深度学习在异构开放数据中的应用以测量城市环境和健康
- 批准号:
MR/S003983/1 - 财政年份:2018
- 资助金额:
$ 40.24万 - 项目类别:
Fellowship
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