Exploring how affordable, global people-centred geospatial data products could help planners to evaluate, plan and track progress to UN SDGs 3, 11 and 15

探索经济实惠、以人为本的全球地理空间数据产品如何帮助规划者评估、规划和跟踪联合国可持续发展目标 3、11 和 15 的进展

• 批准号: 10050824
• 金额: $ 10.01万
• 依托单位: TRANQUIL CITY LTD
• 依托单位国家: 英国
• 项目类别: Collaborative R&D
• 财政年份: 2023
• 资助国家: 英国
• 起止时间: 2023 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=10050824
• 关键词: Exploring; how; affordable; global; people

More and more geospatial information on environmental quality is becoming available. This emerging data has numerous applications including enabling sustainable and healthy city planning, encouraging citizen awareness and healthier behaviours as well as tracking progress towards healthy and sustainable outcomes. However, the production of these datasets is expensive and resource intensive and planners are not used to dealing with large GIS datasets. This significantly limits the realisation of the UN Sustainable Development Goals 11 (Sustainable Cities and Communities), 3 (Good Health and Wellbeing) and 15 (Life on Land). Cities without such environmental datasets are therefore limited in their ability to effectively justify, plan and track progress of significant urban interventions and citizen behaviour change. Tranquil City has prototyped an innovative, people-centred and cost-effective geospatial data product package that delivers strategic and high-resolution environmental quality and infrastructure information to promote healthier behaviours through tech platforms. Our method uses machine learning (ML) techniques to learn from 'data rich' cities and train a model to use globally available datasets to predict high-resolution data for many environmental factors (air quality, noise, green space quality, water elements, tree cover, Tranquillity and Healthy Streets Indices) in any city or area worldwide at a fraction of the cost of the standard modelling approaches used to date. This data is commercialised via our licensed data toolkits and APIs for access integration into public-facing applications that can encourage healthier, more sustainable behaviours. Our plan for the future is to support planning authorities and practitioners to work toward the SDGs. With Innovate UK's funding, we will engage with current clients and stakeholders to understand and iterate on our initial concepts of offering this data for spatial planning, including validation, scaling and delivery. The outputs will include feasibility studies of how planners would most like to use and handle the data, model and monitor the impact of interventions against SDG targets and how best to implement wide-scale data production methods.

有关环境质量的地理空间信息越来越多。这些新兴数据有许多应用程序，包括实现可持续和健康的城市规划，鼓励公民意识和更健康的行为以及跟踪取得健康和可持续成果的进步。但是，这些数据集的生产价格昂贵，资源密集型，计划者不习惯处理大型GIS数据集。这显着限制了联合国可持续发展目标11（可持续城市和社区），3（健康与福祉）和15（陆地上的生命）的实现。因此，没有这种环境数据集的城市有效地证明，计划和跟踪重大城市干预措施和公民行为改变的进展的能力有限。 Tranquil City原型制作了一种创新，以人为本和具有成本效益的地理空间数据产品包，它提供了战略性和高分辨率的环境质量和基础设施信息，以通过技术平台来促进更健康的行为。我们的方法使用机器学习（ML）技术从“富数据”的城市中学习，并训练模型，以预测许多环境因素（空气质量，噪音，绿色空间质量，水元素，树木覆盖，宁静和健康街道的街道）的高分辨率数据。这些数据通过我们的许可数据工具包和API进行商业化，以访问公共面向公共的应用程序，以鼓励更健康，更可持续的行为。我们对未来的计划是支持规划机构和从业人员朝着可持续发展目标努力。通过Innovate UK的资金，我们将与现有客户和利益相关者互动，以了解并迭代我们为空间计划提供此数据的最初概念，包括验证，扩展和交付。这些输出将包括有关规划人员最想如何使用和处理数据，建模和监视干预措施对可持续发展目标目标的影响以及如何最好地实施大规模数据生产方法的可行性研究。