Investigating the long-term public health and co-benefit impacts of an urban greenway intervention in the UK: a natural experiment evaluation – study protocol.

Publication date: Jul 06, 2025

Urban green and blue space (UGBS) interventions, such as the development of an urban greenway, have the potential to provide public health benefits and multiple co-benefits in the realms of the environment, economy and society. This paper presents the protocol for a 5-year follow-up evaluation of the public health benefits and co-benefits of an urban greenway in Belfast, UK. The natural experiment evaluation uses a range of systems-oriented and mixed-method approaches. First, using group model building methods, we codeveloped a causal loop diagram with stakeholders to inform the evaluation framework. We will use other systems methods including viable systems modelling and soft systems methodology to understand the context of the system (ie, the intervention) and the stakeholders involved in the development, implementation and maintenance phases. The effectiveness evaluation includes a repeat cross-sectional household survey with a random sample of 1200 local residents (adults aged ≥16 years old) who live within 1 mile of the greenway. The survey is complemented with administrative data from the National Health Service. For the household survey, outcomes include physical activity, mental well-being, quality of life, social capital, perceptions of environment and biodiversity. From the administrative data, outcomes include prescription medications for a range of non-communicable diseases such as cardiovascular disease, type II diabetes mellitus, chronic respiratory and mental health conditions. We also investigate changes in infectious disease rates, including COVID-19, and maternal and child health outcomes such as birth weight and gestational diabetes. A range of economic evaluation methods, including a cost-effectiveness analysis and social return on investment (SROI), will be employed. Findings from the household survey and administrative data analysis will be further explored in focus groups with a subsample of those who complete the household survey and the local community to explore possible mechanistic pathways and other impacts beyond those measured. Process evaluation methods include intercept surveys and direct observation of the number and type of greenway visitors using the Systems for Observing Play and Recreation in Communities tool. Finally, we will use methods such as weight of evidence, simulation and group model building, each embedding participatory engagement with stakeholders to help us interpret, triangulate and synthesise the findings. To our knowledge, this is one of the first natural experiments with a 5-year follow-up evaluation of an UGBS intervention. The findings will help inform future policy and practice on UGBS interventions intended to bring a range of public health benefits and co-benefits. Ethics approval was obtained from the Medicine, Health and Life Sciences Research Ethics Committee prior to the commencement of the study. All participants in the household survey and focus group workshops will provide written informed consent before taking part in the study. Findings will be reported to (1) participants and stakeholders; (2) funding bodies supporting the research; (3) local, regional and national governments to inform policy; (4) presented at local, national and international conferences and (5) disseminated by peer-review publications.

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Concepts Keywords
Belfast Adolescent
Diabetes Adult
Economy COVID-19
Gestational Cross-Sectional Studies
Greenway Environment Design
EPIDEMIOLOGY
Female
Humans
Male
Primary Prevention
Public Health
PUBLIC HEALTH
Quality of Life
Research Design
United Kingdom

Semantics

Type Source Name
disease IDO intervention
disease IDO quality
disease MESH non-communicable diseases
disease MESH cardiovascular disease
pathway KEGG Type II diabetes mellitus
disease MESH infectious disease
pathway REACTOME Infectious disease
disease MESH COVID-19
disease MESH gestational diabetes
disease IDO process
disease MESH diabetes mellitus
drug DRUGBANK Indoleacetic acid
disease MESH eclampsia
disease MESH infections
disease MESH causality
drug DRUGBANK Medical air
drug DRUGBANK Trestolone
drug DRUGBANK Spinosad
disease MESH lifestyle
disease MESH death
disease MESH depression
disease MESH anxiety
disease MESH hypertension
disease MESH stroke
disease MESH respiratory diseases
disease MESH asthma
pathway KEGG Asthma
disease IDO infection
disease MESH emergency
drug DRUGBANK Acetylsalicylic acid
disease MESH viral infections
disease MESH postpartum depression

Original Article

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