The socio ecological model states that individual behaviors at work are shaped by the interactions between individual employees and their work environments. This study used citizen science to gain insights into which elements of the built, social, and organizational environment in an office and surrounding neighborhoods in two Swedish cities were perceived as barriers to or facilitators of healthy and sustainable behaviors at work. Participants in the eight-week Sustainable Office Intervention pilot study (SOFIA) (n = 33) were cluster-randomized into an experimental arm (sustainable lifestyle) or a control intervention arm (healthy lifestyle). They used the Our Voice Healthy Neighborhood Discovery Tool mobile app to document contextual elements at their workplaces. In total, 114 photos and text-based narratives were recorded, and four themes emerged: built environment, building design, office ergonomics, and food and beverages. Eighteen percent of the photos were linked to pro-environmental behaviors, all exclusively captured by the experimental arm. Twelve barriers and solutions for improving the workplace environment were identified during discussions with participants in both arms. The findings provide insights for designing or renovating office spaces and urban planning to promote healthier and more sustainable lifestyles for office workers.
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http://dx.doi.org/10.1016/j.healthplace.2024.103377 | DOI Listing |
Data Brief
February 2025
Estación Experimental de Aula Dei, EEAD - CSIC, Ave. Montañana 1005, 50059 Zaragoza, Spain.
The dataset [1] hosts pedological info and images of the lands -locally known as - of the outcropping gypsiferous core of the Barbastro-Balaguer anticline (Fig. 1). It stands out in the landscape for the linear reliefs due to outcrops of dipping strata with differential resistance to erosion, and also because of its whitish color (Fig.
View Article and Find Full Text PDFSci Data
January 2025
IFREMER Délégation Océan Indien (DOI), Le Port, 97420, La Réunion, Rue Jean Bertho, France.
Citizen Science initiatives have a worldwide impact on environmental research by providing data at a global scale and high resolution. Mapping marine biodiversity remains a key challenge to which citizen initiatives can contribute. Here we describe a dataset made of both underwater and aerial imagery collected in shallow tropical coastal areas by using various low cost platforms operated either by citizens or researchers.
View Article and Find Full Text PDFSci Rep
January 2025
Department of Environmental Analytical Chemistry, Helmholtz Centre for Environmental Research (UFZ), 04318, Leipzig, Germany.
Nanoplastics are suspected to pollute every environment on Earth, including very remote areas reached via atmospheric transport. We approached the challenge of measuring environmental nanoplastics by combining high-sensitivity TD-PTR-MS (thermal desorption-proton transfer reaction-mass spectrometry) with trained mountaineers sampling high-altitude glaciers ("citizen science"). Particles < 1 μm were analysed for common polymers (polyethylene, polyethylene terephthalate, polypropylene, polyvinyl chloride, polystyrene and tire wear particles), revealing nanoplastic concentrations ranging 2-80 ng mL at five of 14 sites.
View Article and Find Full Text PDFEnviron Manage
January 2025
North Carolina State University, Department of Parks, Recreation and Tourism Management, Raleigh, NC, USA.
Citizen science has been increasingly utilized for monitoring resource conditions and visitor use in protected areas. However, the quality of data provided by citizen scientists remains a major concern that hinders wider applications in protected area management. We evaluated a prototype, citizen science-based trail assessment and monitoring program in Hong Kong using an integrated evaluative approach with a specific focus on the congruence of data collected by trained volunteers and managers.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Architecture and Urban Planning, Shenzhen University, Guangdong, China. Electronic address:
Amid rapid urbanization, land use shifts in cities globally have profound effects on ecosystems and biodiversity. Birds, as a crucial component of urban biodiversity, are highly sensitive to environmental changes and often serve as indicator species for biodiversity. This study, using Shenzhen as a case study, integrates machine learning techniques with spatial statistical methods.
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