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    Environmental and carbon footprint of tourist accommodation: a comparative study of popular hotel categories in Brazil and Peru
    (Elsevier, 2021-12-15)
    The environmental externalities of tourist accommodation are substantial, but their scientific appraisals have been far from holistic. Existing environmental impact assessment studies focus on hotel operations and exclude indirect material inputs and outputs due to data (un)availability. Important environmental ‘hotspots’ can be ignored in the result as these are often concealed in the diversity and complexity of a hotel's products and services. This study employs the method of environmental life cycle impact assessment to appraise the environmental externalities occurring through the life cycle of four popular comfort categories of hotels (hostel, budget, upmarket and luxury) in two countries of South America (Brazil and Peru). The appraisal is facilitated by the ecoinvent database (version 3.6, Allocation cut-off by classification) and the SimaPro software (version 9.1.1). The intra-sectoral and cross-country analysis reveals correlation of the environmental and carbon footprint with hotel comfort categories. The study finds that (1) treatment of solid waste generated in hotel operations; (2) construction of the hotel building; and (3) operational energy use; generate the largest footprints across all major impact categories. The contribution of (4) consumer goods, such as furniture, electric and electronic equipment, bathroom/sanitary fixtures and carpets, is also significant. The study advocates that these operational and non-operational material inputs and outputs should be accounted for in future environmental and carbon impact assessments of hotels. The study provides the first benchmarks of major embodied, indirect environmental and carbon impacts of hotels that can be used, with appropriate adjustments, in future research.
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    Transitioning to sustainable mobility in Lima, Peru. Are e-scooter sharing initiatives part of the problem or the solution?
    (Elsevier BV, 2022-12-22)
    Micro-mobility has increased in urban environments to reduce dependence on private vehicles. While electric micro-mobility alternatives are supposed to reduce environmental impacts, certain studies suggest that this can depend on the transport mode they substitute. In parallel, despite growing efforts, urban areas in developing and emerging economies struggle to implement sustainable mobility programs at a city-wide level. In March 2019 the first dockless e-scooter rental service appeared in the city of Lima, Peru. Although the social and environmental impacts of dockless e-scooters have been the center of multiple studies, these are mostly based in North America and Europe. Therefore, the main objective of the current study was to use Life Cycle Assessment (LCA) to address the environmental profile of e-scooter use in districts of central Lima. All stages of the life-cycle of e-scooters were modelled considering local conditions, from manufacture to end-of-life. A sensitivity analysis was conducted to account for the variability in environmental impact based on five parameters: lifespan, battery range, remaining battery charge, collection distance and collection vehicle. Results show that over two thirds of impacts are linked to manufacturing thanks to the low-carbon profile of electricity production in Peru, which lowers the burdens in the use phase, making e-scooter use competitive in the local market as compared to electric bikes or motorcycles. However, replacement trends show that net environmental gains are not always obtained. Poor maintenance and derived lifespan or battery range are important sources of variability for the impact categories assessed. Although e-scooters show potential for their implementation in developing cities with similar characteristics to Lima, we recommend that site-specific studies should be conducted to foster adaptive management strategies which take into account the means of transport being substituted by e-scooters.
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    Main challenges for measuring the sustainability of the marine ingredients industry: a systematic and critical review
    (Elsevier BV, 2026-02-01)
    The marine ingredients (MIs) industry is essential to the aquaculture sector, mainly providing fishmeal and fish oil to support animal feed and human nutrition. The exponential growth of aquaculture and the heavy reliance on finite marine resources pose significant sustainability challenges and highlight the need for more comprehensive and regionally adapted metrics beyond current Life Cycle Assessment (LCA) indicators and non-conventional LCA metrics. In this systematic review, we analyzed 48 literature studies that focus on the sustainability of MIs using rigorous criteria for data quality and indicator relevance under the Prisma methodology. Our findings indicate that the studies that are mainly based on conducting an LCA provide valuable insights into environmental performance, but are hindered by inconsistent metrics, limited data availability, and a lack of integration of economic, nutritional, and ethical dimensions in the sustainability analysis. Such limitations can lead to underestimate critical issues such as biodiversity loss, overfishing, habitat degradation, or the impact of illegal fishing, while overemphasizing short-term efficiency measures, like feed conversion ratio, or environmental impacts such as global warming. Additionally, emerging novel proteins and alternative uses for fish-derived byproducts, ranging from direct human consumption to high-value applications (bioactive compounds, cosmetics, etc.) to lower value products (like biofertilizers), remain largely unexplored, given the absence of holistic and flexible assessment tools. Thus, the presence of unregulated contaminants (including additives, antibiotics and microplastics), are not yet adequately addressed in most MIs studies, despite some recent methodological advancements. This review proposes the adoption of novel metrics, the standardization of assessment methods and the integration of multi-criteria decision analysis for LCA practitioners to better capture the complex and multifaceted challenges of MIs production, covering the way for more robust and reliable sustainability assessments within the aquaculture industry.
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