The largest public space in any city is its streets. Investments which incorporate small-scale green infrastructure into streetscapes can bring more nature into the lives of urban residents worldwide, including those living in even the most economically and spatially constraint places. However, little is known about the impact of such small-scale investments on urban residents' affective perceptions of their local environments and how to design these investments to maximise their positive impacts. In the current study, we use photo simulation techniques and an adapted form of the Positive and Negative Affective Schedule to examine the impact of small-scale green infrastructure interventions on the affective perceptions of low, middle and high-income sites in Santiago Chile. Our results, based on 62,478 reports of affective perceptions from 3,472 people, indicate that green infrastructure investments can both promote positive affect and, to a lesser, but still substantial extent reduce negative affect. The magnitudes of these relationships vary across discrete affective measures and for many of these measures, both positive and negative, a minimum of 16% increase in green coverage is required to see an impact. Finally, we find people associated lower affect with low, compared to middle and high, income sites but that these affective inequalities can be addressed, at least in part, through green infrastructure interventions.
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http://dx.doi.org/10.1038/s41598-023-35804-2 | DOI Listing |
Nat Commun
January 2025
Department of Geography and Spatial Sciences, University of Delaware, Newark, DE, USA.
Water is crucial for meeting sustainability targets, but its unsustainable use threatens human wellbeing and the environment. Past assessments of water scarcity (i.e.
View Article and Find Full Text PDFJ Environ Manage
January 2025
School of Management, Hefei University of Technology, Hefei, Anhui, 230009, China; Key Laboratory of Process Optimization and Intelligent Decision-Making of Ministry of Education, Hefei, 230009, China. Electronic address:
Green technology innovation (GTI) in China's waste power battery recycling (WPBR) sector is a key driver for sustainable resource management, environmental protection, and economic prosperity. Using the PSR-BN-GPT-4 model and multi-source data, this study explores China's WPBRenterprises' high-level GTI mechanism. The research concludes that (1) Compared to traditional expert knowledge, the Bayesian network model based on GPT-4 exhibits superior causal reasoning capability.
View Article and Find Full Text PDFJ Environ Manage
January 2025
College of Interdisciplinary Studies, Zayed University, Dubai, United Arab Emirates.
In facing growing challenges in cities and the environment, cities need to make informed decisions on where and how to allocate resources for infrastructure investments. Nature-based Solutions present a promising approach to urban environmental and socioeconomic challenges, but their successful integration into urban planning requires a nuanced understanding of both their benefits and limitations. This paper presents a preliminary Bayesian Network model designed to model the optimal integration of specific blue-green and gray Infrastructure solutions in hybrid systems for specific local contexts.
View Article and Find Full Text PDFEnviron Sci Pollut Res Int
January 2025
Department of Geomatics Engineering, Hacettepe University, 06800, Beytepe, Ankara, Türkiye.
This study presents a hybrid methodology for planning green spaces to enhance urban sustainability and livability, evaluating the impacts of climate change on cities. Cities, once accommodating a small population, have become major centers of migration and development since the eighteenth century. Rapid urban growth intensifies infrastructure, environmental, and social challenges.
View Article and Find Full Text PDFPlant J
January 2025
Faculty of Biosciences and Aquaculture, Nord University, Bodø, Norway.
Microalgae possess diverse lipid classes as components of structural membranes and have adopted various lipid remodeling strategies involving phospholipids to cope with a phosphorus (P)-limited environment. Here, we report a unique adaptative strategy to P deficient conditions in two cold-adapted microalgae, Raphidonema monicae and Raphidonema nivale, involving the lipid class diacylglyceryl glucuronide (DGGA) and the betaine lipid diacylglyceryl-N,N,N-trimethylhomoserine. Lipidomic analyses showed that these two lipid classes were present only in trace amounts in nutrient replete conditions, whereas they significantly increased under P-starvation concomitant with a reduction in phospholipids, suggesting a physiological significance of these lipid classes to combat P-starvation.
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