Stefano Cucurachi
Biographic Data
| ID | 8282982 |
|---|---|
| NAME | Stefano Cucurachi |
| GIVEN NAMES | Stefano |
| FAMILY NAME | Cucurachi |
| SIGNATURE | CUCURACHI S |
| AFFILIATIONS | Leiden University |
| ORCID | 0000-0003-2748-655X |
| VERIFIED | Yes |
| TOTAL WORKS | 11 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 11 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Reframing perceptions on the informal and formal waste sectors
Waste management systems in low- middle-income countries are strained due to rapid urbanization and population growth. Inefficiencies in formal waste management systems have led to the emergence of the informal waste sector (IWS). Despite benefits like higher collection efficiency and the provision of livelihoods for workers, IWS creates exposure to occupational hazards and social discrimination. Although previous studies have researched the role…
Quantification of plastic recovery by the informal waste sector through a probabilistic approach
Plastic pollution poses a significant threat to human health and the environment, with its impacts expected to worsen due to rising global plastic production. Mismanagement of plastic waste is particularly high in low-middle-income countries like India, which ranks as the 12th largest source of plastic leakage globally. Paradoxically, India also has one of the highest plastic recovery rates in the world, largely due to the role of the informal wa…
A framework for guiding safe and sustainable‐by‐design innovation
Assessing the safety and sustainability of novel technologies while they are still in the early research and development stages is the most effective way to avoid undesired outcomes. However, the journey from idea to market is highly uncertain and involves intensive trial and error as technology developers attempt to optimize material choices and product configurations. Designs evolve quickly, and assessing their risks and impacts while numerous …
This city is not a bin
Urban litter, such as cans, packaging, and cigarettes, has significant impacts, and yet little is known about its spatio-temporal distribution, with little available data. In contexts of data scarcity, crowdsourcing provides a low-cost approach to collecting a large amount of geo-referenced data. We consider 1.7 million litter observations in the Netherlands, collected by the crowdmapping project Litterati. First, we analyze the biases of this da…
Implementation of uncertainty analysis and moment‐independent global sensitivity analysis for full‐scale life cycle assessment models
Life cycle assessment (LCA) models and databases have increased in size, resolution, and complexity, requiring analysts to rely on an ever‐increasing number of uncertain model inputs. Such increased complexity calls for systematic approaches to assessing the uncertainty of the output results of LCA models and the sensitivity of LCA model outputs to the model's uncertain inputs. In this contribution, we provide a theoretical basis and present a pr…
Bringing a life cycle perspective to emerging technology development
Lc‐impact
Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categ…
Noise footprint from personal land‐based mobility
A large part of the world population is exposed to noise levels that are unhealthy. Yet noise is often neglected when impact assessment studies are conducted and when policy interventions are designed. In this study, we provide a way to calculate the noise footprint of citizens directly determined by their use of private and public transport on land. The study combines the results of the large transport simulation model MATSim applied to Switzerl…
Life Cycle Assessment of Food Systems
The production and consumption of food are responsible for serious environmental degradation. Given the nature of the global economy, the impacts of food are dispersed over the full extent of the planet because food commodities may travel long distances from production to consumption. In this Primer, we introduce the principles of life cycle assessment (LCA), which allows for the assessment of the global extent of the inputs, outputs, and potenti…
Normalization in Comparative Life Cycle Assessment to Support Environmental Decision Making
No Matter – How
The portfolio of impacts that are quantified in life cycle assessment (LCA) has grown to include rather different stressors than those that were the focus of early LCAs. Some of the newest life cycle impact assessment (LCIA) models are still in an early phase of development and have not yet been included in any LCA study. This is the case for sound emissions and noise impacts, which have been only recently modeled. Sound emissions are matter‐less…
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Normalization in Comparative Life Cycle Assessment to Support Environmental Decision Making
No Matter – How
The portfolio of impacts that are quantified in life cycle assessment (LCA) has grown to include rather different stressors than those that were the focus of early LCAs. Some of the newest life cycle impact assessment (LCIA) models are still in an early phase of development and have not yet been included in any LCA study. This is the case for sound emissions and noise impacts, which have been only recently modeled. Sound emissions are matter‐less…
Noise footprint from personal land‐based mobility
A large part of the world population is exposed to noise levels that are unhealthy. Yet noise is often neglected when impact assessment studies are conducted and when policy interventions are designed. In this study, we provide a way to calculate the noise footprint of citizens directly determined by their use of private and public transport on land. The study combines the results of the large transport simulation model MATSim applied to Switzerl…
Life Cycle Assessment of Food Systems
The production and consumption of food are responsible for serious environmental degradation. Given the nature of the global economy, the impacts of food are dispersed over the full extent of the planet because food commodities may travel long distances from production to consumption. In this Primer, we introduce the principles of life cycle assessment (LCA), which allows for the assessment of the global extent of the inputs, outputs, and potenti…
Bringing a life cycle perspective to emerging technology development
Lc‐impact
Life cycle impact assessment (LCIA) is a lively field of research, and data and models are continuously improved in terms of impact pathways covered, reliability, and spatial detail. However, many of these advancements are scattered throughout the scientific literature, making it difficult for practitioners to apply the new models. Here, we present the LC-IMPACT method that provides characterization factors at the damage level for 11 impact categ…
This city is not a bin
Urban litter, such as cans, packaging, and cigarettes, has significant impacts, and yet little is known about its spatio-temporal distribution, with little available data. In contexts of data scarcity, crowdsourcing provides a low-cost approach to collecting a large amount of geo-referenced data. We consider 1.7 million litter observations in the Netherlands, collected by the crowdmapping project Litterati. First, we analyze the biases of this da…
Implementation of uncertainty analysis and moment‐independent global sensitivity analysis for full‐scale life cycle assessment models
Life cycle assessment (LCA) models and databases have increased in size, resolution, and complexity, requiring analysts to rely on an ever‐increasing number of uncertain model inputs. Such increased complexity calls for systematic approaches to assessing the uncertainty of the output results of LCA models and the sensitivity of LCA model outputs to the model's uncertain inputs. In this contribution, we provide a theoretical basis and present a pr…
A framework for guiding safe and sustainable‐by‐design innovation
Assessing the safety and sustainability of novel technologies while they are still in the early research and development stages is the most effective way to avoid undesired outcomes. However, the journey from idea to market is highly uncertain and involves intensive trial and error as technology developers attempt to optimize material choices and product configurations. Designs evolve quickly, and assessing their risks and impacts while numerous …
Reframing perceptions on the informal and formal waste sectors
Waste management systems in low- middle-income countries are strained due to rapid urbanization and population growth. Inefficiencies in formal waste management systems have led to the emergence of the informal waste sector (IWS). Despite benefits like higher collection efficiency and the provision of livelihoods for workers, IWS creates exposure to occupational hazards and social discrimination. Although previous studies have researched the role…
Quantification of plastic recovery by the informal waste sector through a probabilistic approach
Plastic pollution poses a significant threat to human health and the environment, with its impacts expected to worsen due to rising global plastic production. Mismanagement of plastic waste is particularly high in low-middle-income countries like India, which ranks as the 12th largest source of plastic leakage globally. Paradoxically, India also has one of the highest plastic recovery rates in the world, largely due to the role of the informal wa…
Computer Science (6 works) · Economics (6 works) · Environmental Impact and Sustainability (6 works) · Environmental Science (6 works) · Industrial ecology (5 works) · Sustainability (5 works) · Business (4 works) · Ecology (4 works) · Engineering (4 works) · Environmental resource management (4 works)