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Urban Blue Acupuncture: A Protocol for Evaluating a Complex Landscape Design Intervention to Improve Health and Wellbeing in a Coastal Community

S. Bell,Himansu S Mishra,L. Elliott,R. Shellock,P. Vassiljev,M. Porter,Zoe Sydenham,M. White

Published 2020 in Sustainability

ABSTRACT

Within the BlueHealth project, funded under the Horizon 2020 European Union research framework, a number of targeted experimental design interventions were used to test the effect and impact of planning and design on encouraging people to use various blue spaces. Complex interventions were implemented and evaluations before and after each were made using a set of tools which triangulate with each other—a site assessment tool, a behaviour observation tool, a questionnaire survey (including an economic evaluation) and qualitative interviews. The theoretical basis for the research is that of affordances, and the projects each involved modest changes to the landscape using the approach of “urban acupuncture” where a small intervention can potentially have an effect out of all proportion to the investment. This paper is a protocol paper and describes the research strategy and methodology in detail for one of the intervention sites, located in Plymouth in the UK. The aim is to present the methodology as a whole so as to act as (a) a reference framework for the results of all the projects which will be reported separately in a series of research articles once all the results are in and analysed and (b) a useful reference for other researchers wishing to carry out such complex projects and where a comprehensive presentation of the strategy and methodology is unavailable. We offer this protocol for reference, for critique and for inspiration to those following us.

PUBLICATION RECORD

  • Publication year

    2020

  • Venue

    Sustainability

  • Publication date

    2020-05-16

  • Fields of study

    Computer Science, Environmental Science

  • Identifiers
    DOI 10.3390/su12104084
  • External record

    Open on Semantic Scholar

  • Source metadata

    Semantic Scholar

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