ArticleHealth & place2022
Social integration as a determinant of inequalities in green space usage: Insights from a theoretical agent-based model.
Article in Health & place, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Agent-Based Modelling of Health Inequalities following the Complexity Turn in Public Health: A Systematic Review.International journal of environmental research and public health · 2022Pooled it
- How do urban green spaces influence heat-related mortality in elderly? A realist synthesis.BMC public health · 2024Article
- Investigation on urban greenspace in relation to sociodemographic factors and health inequity based on different greenspace metrics in 3 US urban communities.Journal of exposure science & environmental epidemiology · 2023Article
- Effects of Self-Rated Health Status on Residents' Social-Benefit Perceptions of Urban Green Space.International journal of environmental research and public health · 2022Article
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Authors and funding
2 authors.
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Abstract
Visiting urban green spaces (UGS) benefits physical and mental health. However, socio-economic and geographical inequalities in visits persist and their causes are under-explored. Perceptions of, and attitudes to, other UGS users have been theorised as a determinant of visiting. In the absence of data on these factors, we created a spatial agent-based model (ABM) of four cities in Scotland to investigate intra- and inter-city inequalities in UGS visiting. The ABM focused on the plausibility of a 'social integration hypothesis' whereby the primary factor in decisions to visit UGS is an assessment of who else is likely to be using the space. The model identified the conditions under which this mechanism was sufficient to reproduce the observed inequalities. The addition of environmental factors, such as neighbourhood walkability and green space quality, increased the ability of the model to reproduce observed phenomena. The model identified the potential for unanticipated adverse effects on both overall visit numbers and inequalities of interventions targeting those in lower socio-economic groups.
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Registered trials
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