ArticleMethodsX2026
RESTAURA project: Using public participation GIS to explore technological risk, landscape, and health perceptions in Camp de Tarragona.
Article in MethodsX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The RESTAURA project proposes an integrated public participation GIS (PPGIS) methodology to investigate the relationships among technological risk perceptions, landscape perception, and self-reported mental health in petrochemical clusters in Camp de Tarragona. The method combines spatial and non-spatial data through PPGIS platfrom to capture both the geographic distribution of perceived risks and the subjective experiences of affected communities. The methodology follows a four-phase deductive mixed-methods design to allow integration of participatory inputs with spatial analysis to support comparative and transferable insights. The approach emphasizes the role of public participation in identifying perceived risk sources, affected areas, and emotionally valued or stressful landscapes. By linking spatial perceptions of technological risk with landscape evaluations and perceived stress, the method provides a comprehensive framework for examining how industrial environments influence well-being. The methodology is designed to be transferable to other industrial urban contexts and to support planning and policy debates on risk reduction, urban design, and public health.•Collection of spatially explicit public perceptions of technological risk, landscape values, and health using a online survey.•A combined spatial and statistical analysis to explore the relationship between perceived risk, landscape features, and mental health outcomes by using ArcGIS Pro 3.3.0, InVEST 3.14.3 and Jamovi 2.6.17.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.