Online spatial data visualisation tools offer an important avenue for translating scientific research into action to promote the public’s health, and to reduce health inequalities that may emerge from environmental inequities.
At a time when many local authorities lack resources and in-house tools, these online tools have a clear decision-support role to play, and are becoming increasingly popular. There remains a significant knowledge gap with regards to understanding the demand for these tools, and their potential, acceptability, affordability, financial sustainability, and how they are used in practice.
The application of this learning could help to reduce time and resource costs for researchers developing such tools in the future. This project will address these areas of interest using a combination of case study research, online questionnaires, semi-structured one-to-one interviews, intelligence gathering and consensus building workshops.
The collaborative approach aims to learn from the reflections of key stakeholders, and from the developers of existing tools within academic, local authority and national policy settings.
The recently developed Food environment assessment tool (Feat) and the Propensity to Cycle Tool (PCT) will be used as case studies, while also learning from a wider range of examples.
The project will produce nine formal outputs over 18 months. This will include three academic journal articles, including a general framework for the development of future data-driven tools, and six non-academic outputs, including the development of Feat 2.0 to support local authority policy and practice.
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TagsCost savingDecision-makingEnvironmental inequalitiesFood environmentFood policyHealth inequalitiesLocal authorityOnline toolPolicySpatial data visualisationTool