Publications by authors named "Peter-Paul Pichler"

Metrics for health-care sustainability are crucial for tracking progress and understanding the advantages of different operations or systems as the health-care sector addresses the climate crisis and other environmental challenges. Measurement of the key metrics of absolute energy use and greenhouse gas emissions now has substantial momentum, but our overall measurement framework generally has serious deficiencies. Because existing metrics are often borrowed from other sectors, many are unconnected to the specifics of health-care provision or existing health system performance indicators, the potential negative effects of health care on public health are largely absent, a consistent and standardised set of health-care sustainability measurement concepts does not yet exist, and current dynamics in health systems such as privatisation are largely ignored.

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Building stock management is becoming a global societal and political issue, inter alia because of growing sustainability concerns. Comprehensive and openly accessible building stock data can enable impactful research exploring the most effective policy options. In Europe, efforts from citizen and governments generated numerous relevant datasets but these are fragmented and heterogeneous, thus hindering their usability.

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Data on women's living conditions and socio-economic development are important for understanding and addressing the pronounced challenges and inequalities faced by women worldwide. While such information is increasingly available at the national level, comparable data at the sub-national level are missing. We here present the LivWell global longitudinal dataset, which includes a set of key indicators on women's socio-economic status, health and well-being, access to basic services and demographic outcomes.

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Article Synopsis
  • Understanding cities needs good data to create plans that are good for the environment.
  • Some places have 3D models that show buildings, but they are expensive and hard to keep up, especially for smaller cities.
  • We developed a machine learning method that uses free data to predict building heights, even without 3D models, and found that the area around a building helps us guess how tall it is!
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Background: Health-care services are necessary for sustaining and improving human wellbeing, yet they have an environmental footprint that contributes to environment-related threats to human health. Previous studies have quantified the carbon emissions resulting from health care at a global level. We aimed to provide a global assessment of the wide-ranging environmental impacts of this sector.

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Cities are economically open systems that depend on goods and services imported from national and global markets to satisfy their material and energy requirements. Greenhouse Gas (GHG) footprints are thus a highly relevant metric for urban climate change mitigation since they not only include direct emissions from urban consumption activities, but also upstream emissions, i.e.

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Article Synopsis
  • Cities play a big role in climate change, and we need to understand how they use energy and transport in order to help reduce pollution and save energy.
  • A study of 274 cities shows that things like how cities are built, where they are located, and how people get around explain a lot about their energy use.
  • If we plan cities better, we could lower energy use in the future and help the environment, but different cities need different strategies to do this effectively.
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