Leonardo Rosado
Biographic Data
| ID | 8952195 |
|---|---|
| NAME | Leonardo Rosado |
| GIVEN NAMES | Leonardo |
| FAMILY NAME | Rosado |
| SIGNATURE | ROSADO L |
| AFFILIATIONS | Chalmers University of Technology |
| ORCID | 0000-0002-1674-6785 |
| VERIFIED | Yes |
| TOTAL WORKS | 8 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 8 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2009 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Is circular economy inclusive? Assessing the engagement of vulnerable households in circular consumption behaviours
The transition to a sustainable circular economy requires the widespread adoption of circular consumption behaviours, yet little is known about how these behaviours are distributed across society, and whether this distribution is equitable. The contribution of individuals through behaviours such as repairing, renting and maintaining is crucial but often overlooked, overshadowed by contributions by industrial sectors. In particular, the role of vu…
Where if? Using spatial, building-stock-driven simulations to explore construction circularity strategies in Gothenburg, Sweden
Recycling construction materials can significantly reduce the environmental impact of the construction and demolition sector. However, implementing circularity strategies requires a spatially refined understanding of material stock dynamics. This study introduces a stock-driven and rule-based simulation that forecasts – over space and time – material stocks, flows, and associated embodied carbon resulting from construction, renovation, and demoli…
Machine learning‐based stocks and flows modeling of road infrastructure
This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in road infrastructures that were identified through MFA: (1) the insufficient implementation of prospective analysis, (2) heavy use of archetypes as a way to represent road infrastructure, (3) inadequate attention to the inclusion o…
Spatial analysis of urban material stock with clustering algorithms
A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urban MS is proposed. Within this scope, MS indicators are defined at neighborhood level and clustered with k ‐mean algorithms. The MS is estimated bottom‐up with (a) material‐intensity co…
Circular economy – From review of theories and practices to development of implementation tools
The paper provides an overview of the literature on Circular Economy (CE) theoretical approaches, strategies and implementation cases. After analyzing different CE approaches and the underlying principles the paper then proceeds with the main goal of developing tools for CE implementation. Two tools are presented. The first is a CE Strategies Database, which includes 45 CE strategies that are applicable to different parts of the value chain. The …
Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels
Material flow analysis (MFA) is a tool for research and decision support in environmental policy and management. In order to promote the use of MFA at different spatial scales, a quantification of the uncertainty in nationwide, regional, and urban MFA methodologies is provided. In particular, the impact of the input data quality on the main MFA indicators is analyzed and the sources and extent of uncertainties for different spatial scales are lis…
A Material Flow Accounting Case Study of the Lisbon Metropolitan Area using the Urban Metabolism Analyst Model
This article describes a new methodological framework to account for urban material flows and stocks, using material flow accounting (MFA) as the underlying method. The proposed model, urban metabolism analyst (UMAn), bridges seven major gaps in previous urban metabolism studies: lack of a unified methodology; lack of material flows data at the urban level; limited categorizations of material types; limited results about material flows as they ar…
Urban Metabolism
Urban metabolism studies have been established for only a few cities worldwide, and difficulties obtaining adequate statistical data are universal. Constraints and peculiarities call for innovative methods to quantify the materials entering and leaving city boundaries. Such methods include the extrapolation of data at the country or the region level based, namely, on sales, population, commuters, workers, and waste produced. The work described in…
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Urban Metabolism
Urban metabolism studies have been established for only a few cities worldwide, and difficulties obtaining adequate statistical data are universal. Constraints and peculiarities call for innovative methods to quantify the materials entering and leaving city boundaries. Such methods include the extrapolation of data at the country or the region level based, namely, on sales, population, commuters, workers, and waste produced. The work described in…
A Material Flow Accounting Case Study of the Lisbon Metropolitan Area using the Urban Metabolism Analyst Model
This article describes a new methodological framework to account for urban material flows and stocks, using material flow accounting (MFA) as the underlying method. The proposed model, urban metabolism analyst (UMAn), bridges seven major gaps in previous urban metabolism studies: lack of a unified methodology; lack of material flows data at the urban level; limited categorizations of material types; limited results about material flows as they ar…
Uncertainty in Material Flow Analysis Indicators at Different Spatial Levels
Material flow analysis (MFA) is a tool for research and decision support in environmental policy and management. In order to promote the use of MFA at different spatial scales, a quantification of the uncertainty in nationwide, regional, and urban MFA methodologies is provided. In particular, the impact of the input data quality on the main MFA indicators is analyzed and the sources and extent of uncertainties for different spatial scales are lis…
Circular economy – From review of theories and practices to development of implementation tools
The paper provides an overview of the literature on Circular Economy (CE) theoretical approaches, strategies and implementation cases. After analyzing different CE approaches and the underlying principles the paper then proceeds with the main goal of developing tools for CE implementation. Two tools are presented. The first is a CE Strategies Database, which includes 45 CE strategies that are applicable to different parts of the value chain. The …
Spatial analysis of urban material stock with clustering algorithms
A large share of construction material stock (MS) accumulates in urban built environments. To attain a more sustainable use of resources, knowledge about the spatial distribution of urban MS is needed. In this article, an innovative spatial analysis approach to urban MS is proposed. Within this scope, MS indicators are defined at neighborhood level and clustered with k ‐mean algorithms. The MS is estimated bottom‐up with (a) material‐intensity co…
Machine learning‐based stocks and flows modeling of road infrastructure
This paper introduces a new method to account for the stocks and flows of road infrastructure at the national level based on material flow accounting (MFA). The proposed method closes some of the current shortcomings in road infrastructures that were identified through MFA: (1) the insufficient implementation of prospective analysis, (2) heavy use of archetypes as a way to represent road infrastructure, (3) inadequate attention to the inclusion o…
Is circular economy inclusive? Assessing the engagement of vulnerable households in circular consumption behaviours
The transition to a sustainable circular economy requires the widespread adoption of circular consumption behaviours, yet little is known about how these behaviours are distributed across society, and whether this distribution is equitable. The contribution of individuals through behaviours such as repairing, renting and maintaining is crucial but often overlooked, overshadowed by contributions by industrial sectors. In particular, the role of vu…
Where if? Using spatial, building-stock-driven simulations to explore construction circularity strategies in Gothenburg, Sweden
Recycling construction materials can significantly reduce the environmental impact of the construction and demolition sector. However, implementing circularity strategies requires a spatially refined understanding of material stock dynamics. This study introduces a stock-driven and rule-based simulation that forecasts – over space and time – material stocks, flows, and associated embodied carbon resulting from construction, renovation, and demoli…
Engineering (6 works) · Environmental Impact and Sustainability (6 works) · Environmental Science (4 works) · Sustainability (4 works) · Business (3 works) · Civil engineering (3 works) · Computer Science (3 works) · Geography (3 works) · Industrial ecology (3 works) · Material flow analysis (3 works)