通过关联数据确定粮食不安全的驱动因素-粮食优先地点指数

Francesca Pontin, Peter Baudains, Emily Ennis, Michelle Morris
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 Objectives & ApproachThis research presents the methodology for the co-production and construction of the Priority Places for Food Index (PPFI) and supporting dashboard, co-designed by the Consumer Data Research Centre (CDRC) and consumer champions Which? in response to the 'cost-of-living crisis'.
 The PPFI equally weights measures of access to affordable food and indicators of barriers to affording food across seven domains; Proximity to supermarket retail facilities, Accessibility of supermarket retail facilities, Access to online deliveries, Proximity to non-supermarket food provision, Socio-economic barriers, Fuel Poverty and Family Food for support. The PPFI uses open data combing traditional census data metrics, with government data (e.g., Healthy start voucher and free-school meals uptake), digital footprints data (web-scraped delivery addresses and food bank item request data) and scaled-survey data (fuel poverty, propensity to shop online).
 Relevance to Digital FootprintsDigital footprint data can complement traditional data sources to provide a more nuanced view of health inequalities. These data are typically less timely to collect than traditional data collection methods (census, survey) allowing a more reactive response to emergent issues such as the cost-of-living crisis.
 ResultsThe PPFI interactive map and underlying data have been published via the CDRC https://priorityplaces.cdrc.ac.uk/.
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引用次数: 0

摘要

介绍,15.5%的英国家庭食品不安全;要么没钱吃饭,要么不吃饭,要么尽管饿了,但还是减少了饭量。粮食不安全的驱动因素包括获得粮食和负担得起粮食,最需要的人往往无法获得健康和负担得起的粮食。采取基于地点的方法来了解粮食不安全的驱动因素,可以从政府、第三部门和私营组织获得有针对性的支持,以缓解英国日益严重的粮食不安全问题。目标,本研究提出了由消费者数据研究中心(CDRC)和消费者冠军组织Which?以应对“生活成本危机”。PPFI在七个领域对获得负担得起的食物的衡量指标和负担得起的食物的障碍指标给予同等权重;靠近超市零售设施,超市零售设施的可及性,在线配送的可及性,非超市食品供应的可及性,社会经济障碍,燃料贫困和家庭食品支持。PPFI使用开放数据,将传统的人口普查数据指标与政府数据(例如,健康起步券和免费学校膳食的摄取情况)、数字足迹数据(网络抓取的送货地址和食品银行物品请求数据)和规模调查数据(燃料贫困、网上购物倾向)结合起来。与数字足迹的相关性数字足迹数据可以补充传统的数据来源,对卫生不平等现象提供更细致入微的看法。与传统的数据收集方法(人口普查、调查)相比,这些数据的收集通常不及时,因此可以对诸如生活成本危机等紧急问题做出更被动的反应。结果PPFI互动图和基础数据已通过CDRC https://priorityplaces.cdrc.ac.uk/. 发布;结论,我们展示了跨个人和人口层面数据的数据链接的价值,以提供对粮食不安全的本地化洞察,并确定数字足迹数据可以改善当前证据基础中的差距。我们还反思了合作制作和利益攸关方参与创建政策准备互动地图的价值,这有助于游说有针对性的实际支持和政策变革,以解决粮食不安全问题。
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Identifying drivers of food insecurity through linked data- the Priority Places for Food Index
Introduction & Background15.5% of all UK households are food insecure; either unable to afford to eat, skipping meals or reducing meal sizes despite being hungry. Drivers of food insecurity include both access to and affordability of food, with those most in need often left unable to access healthy and affordable food. Taking a place-based approach to understand the drivers of food insecurity allows for targeted support from government, third sector and private organisations to mitigate growing food insecurity in the UK. Objectives & ApproachThis research presents the methodology for the co-production and construction of the Priority Places for Food Index (PPFI) and supporting dashboard, co-designed by the Consumer Data Research Centre (CDRC) and consumer champions Which? in response to the 'cost-of-living crisis'. The PPFI equally weights measures of access to affordable food and indicators of barriers to affording food across seven domains; Proximity to supermarket retail facilities, Accessibility of supermarket retail facilities, Access to online deliveries, Proximity to non-supermarket food provision, Socio-economic barriers, Fuel Poverty and Family Food for support. The PPFI uses open data combing traditional census data metrics, with government data (e.g., Healthy start voucher and free-school meals uptake), digital footprints data (web-scraped delivery addresses and food bank item request data) and scaled-survey data (fuel poverty, propensity to shop online). Relevance to Digital FootprintsDigital footprint data can complement traditional data sources to provide a more nuanced view of health inequalities. These data are typically less timely to collect than traditional data collection methods (census, survey) allowing a more reactive response to emergent issues such as the cost-of-living crisis. ResultsThe PPFI interactive map and underlying data have been published via the CDRC https://priorityplaces.cdrc.ac.uk/. Conclusions & ImplicationsWe demonstrate the value of data linkage across individual and population level data to provide localised insight into food insecurity and identify where digital footprints data can improve gaps in the current evidence base. We also reflect on the value of co-production and stakeholder engagement in creating a policy ready interactive map which has facilitated the lobbying of targeted practical support and policy change to address food insecurity.
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