Time-Use Resources for National Statistics (TURNS)

国家统计时间使用资源 (TURNS)

• 批准号: ES/V016644/1
• 负责人: Jonathan Gershuny
• 金额: $ 107.71万
• 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: 2021
• 资助国家: 英国
• 起止时间: 2021 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=ES%2FV016644%2F1
• 关键词: Time; Use; Resources; National; Statistics

Time-use diary (TUD) surveys collect detailed, continuous accounts of what people do throughout complete days. They ask respondents to list each successive episode through an entire day, describing the main activity, any other simultaneous activity, location, and presence of other people, as well as other characteristics such as whether the diarist was using a smartphone/computer. Samples of diarists, randomly selected across populations and across the days of the year, therefore provide nationally representative quantitative evidence of how the entire society spends its time. The Centre for Time Use Research (CTUR) has a leading international role in the design, collection and analysis of these materials. TUD data provide crucial information on economic activity, population lifestyles, welfare and wellbeing:1. They allow estimates of the extent not just of paid work but also of those sorts of unpaid and voluntary work, in households and community groups, that are not included in conventional measures of National Product (e.g. GNP). 2. Many TUD surveys also include measures of how diarists enjoy each activity, increasingly recognised as a direct measure of subjective wellbeing, and survey items on life satisfaction and overall happiness. 3. They provide detailed information about durations and rates of participation in sedentary activities, meals and snacking, physical exertion and sleep; behaviours which have important implications for both physical and psychological health. 4. They provide comprehensive daily evidence of the type and duration of activities, combined with their spatial location and who respondents were with at the time, permitting estimation of the behavioural transmission risk of infectious diseases. 5. Each daily activity also has a "footprint" of environmental impact on energy demand and the production of environmental pollutants, meaning that nationally representative diary studies are important inputs to modelling of global environmental change. This proposal has two elements, one methodological and one substantive. Traditional 'pen and paper' TUD surveys are relatively burdensome for respondents, who are required to enter full details of daily sequences of (on average) 18 to 20 (but often more) different activities. On the methodological side, there is a developing need for survey collection methods that take full advantage of modern online and smartphone technologies. We are proposing an innovative experimental programme of data collection, testing the efficacy of various survey instrument designs deploying these technologies, and comparing them with the traditional instruments that are still employed in the Harmonised European Time Use Survey organised by the European Statistical Agency. We are collaborating actively with the UK Office of National Statistics, which is contributing data from its own pilot online time use diary survey, with the aim of contributing to a new programme of TUD data collection. Collecting nationally representative TUDs provides a promising potential for the estimation of new social indicators. Gross National Product (GNP) is widely understood, among economists and others, as an incomplete basis for understanding population wellbeing, since wellbeing might, for example, actually decline as GNP grows, perhaps as a consequence of simultaneously increasing hours of paid or unpaid work. We will use the data we collect, alongside other existing surveys, in a programme of substantive research focusing on the development of a "dashboard" of new statistical indicators to complement GNP. These will include: indicators of levels of economic activity including the value of unpaid work; measures of population health risks (in relation to both chronic and infection disease); measures of subjective and objective wellbeing; and measures of the environmental impact of day-by-day activity; all estimated from the same TUD information base

时间使用日记（TUD）调查收集人们在一整天中所做的详细、连续的记录。他们要求受访者列出一整天的每一个连续事件，描述主要活动，任何其他同时发生的活动，位置和其他人的存在，以及其他特征，如日记作者是否使用智能手机/电脑。因此，从不同人群和一年中的不同日子中随机抽取的日记样本，为整个社会如何度过时间提供了具有全国代表性的定量证据。时间使用研究中心在设计、收集和分析这些材料方面发挥着国际领先的作用。TUD数据提供了关于经济活动、人口生活方式、福利和福祉的重要信息：1.它们不仅可以估计家庭和社区群体中有酬工作的程度，还可以估计不包括在国民生产总值（如国产总值）的传统计量中的无酬和自愿工作的程度。2.许多TUD调查还包括日记作者如何享受每项活动的措施，越来越多地被认为是主观幸福感的直接衡量标准，以及生活满意度和整体幸福感的调查项目。3.它们提供了关于久坐活动、进餐和吃零食、体力消耗和睡眠的持续时间和参与率的详细信息;这些行为对身心健康都有重要影响。4.它们提供了活动类型和持续时间的全面日常证据，加上其空间位置和受访者当时与谁在一起，从而可以估计传染病的行为传播风险。5.每一项日常活动也对能源需求和环境污染物的产生环境影响的“足迹”，这意味着具有国家代表性的日记研究是对全球环境变化建模的重要投入。这项建议有两个要素，一个是方法性要素，一个是实质性要素。传统的“笔和纸”TUD调查对受访者来说相对繁重，他们需要输入（平均）18至20（但通常更多）不同活动的日常序列的全部细节。在方法方面，越来越需要充分利用现代在线和智能手机技术的调查收集方法。我们提出了一个创新的数据收集实验方案，测试部署这些技术的各种调查工具设计的有效性，并将其与欧洲统计局组织的欧洲时间使用协调调查中仍然采用的传统工具进行比较。我们正在与英国国家统计局积极合作，后者正在提供自己的在线时间使用日记调查试点数据，目的是为TUD数据收集新方案做出贡献。收集具有全国代表性的技术使用数据为估计新的社会指标提供了一个有希望的潜力。经济学家和其他人普遍认为，国民生产总值（GNP）是理解人口福祉的不完整基础，因为福祉可能会随着GNP的增长而下降，这可能是有酬或无酬工作时间同时增加的结果。我们将把收集到的数据与其他现有调查一起用于一项实质性研究方案，重点是制定一个新的统计指标“仪表板”，以补充国民生产总值。这些措施包括：经济活动水平的指标，包括无报酬工作的价值;人口健康风险的衡量（与慢性病和传染病有关）;主观和客观福祉的衡量;以及日常活动对环境影响的衡量;所有这些都是从同一个TUD信息库估计的

项目成果

Using time-use diaries to track changing behavior across successive stages of COVID-19 social restrictions.

使用时间使用日记来跟踪 COVID-19 社会限制的连续阶段的行为变化。

• DOI: 10.1073/pnas.2101724118
• 发表时间: 2021
• 期刊: Proceedings of the National Academy of Sciences of the United States of America
• 影响因子: 11.1
• 作者: Sullivan O

Gender, Paid Work, and Mental Health of Adolescents and Young Adults in Resource-Poor Settings of India

• DOI: 10.1007/s12187-023-10009-1
• 发表时间: 2023-01-21
• 期刊: CHILD INDICATORS RESEARCH
• 影响因子: 2.8
• 作者: Ganguly，Dibyasree;Goli，Srinivas;Sullivan，Oriel
• 通讯作者: Sullivan，Oriel

A new perspective from time use research on the effects of social restrictions on COVID-19 behavioral infection risk.

• DOI: 10.1371/journal.pone.0245551
• 发表时间: 2021
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Gershuny J;Sullivan O;Sevilla A;Vega-Rapun M;Foliano F;Lamote de Grignon J;Harms T;Walthery P
• 通讯作者: Walthery P

Exploring daily time-use patterns: ATUS-X data extractor and online diary visualization tool.

• DOI: 10.1371/journal.pone.0252843
• 发表时间: 2021
• 期刊: PloS one
• 影响因子: 3.7
• 作者: Kolpashnikova K;Flood S;Sullivan O;Sayer L;Hertog E;Zhou M;Kan MY;Suh J;Gershuny J
• 通讯作者: Gershuny J

Big changes in daily activities across the course of the UK pandemic; but which of them will stick?

英国大流行期间日常活动发生巨大变化；

• DOI: 10.31235/osf.io/h35cr
• 发表时间: 2022
• 作者: De Grignon J