Decoding Urban Metabolism´s black box - Advancements in Urban Analytics to support circular material flow
Doktorsavhandling, 2024
Circular Economy
Decision Support System.
Urban Mining
Industrial Symbiosis
Data model
Spatial Planning
Digitalisation
Agent-based model
Urban Metabolism
Waste Management
Simulation
Construction and Demolition
Författare
Jonathan Cohen
Chalmers, Arkitektur och samhällsbyggnadsteknik, Stadsbyggnad
An entity-relationship model of the flow of waste and resources in city-regions: Improving knowledge management for the circular economy
Resources, Conservation and Recycling Advances,;Vol. 12(2021)
Artikel i vetenskaplig tidskrift
Method for identifying industrial symbiosis opportunities
Resources, Conservation and Recycling,;Vol. 185(2022)
Artikel i vetenskaplig tidskrift
Understanding Residential Waste Sorting Behavior with Situational Factors: A Data-Driven Approach
Preprint
Cohen, J. Rosado, L.Lanau, M. Gil, J. A spatio-temporal simulation of the construction and demolition sector. Methodological advances to quantify embodied carbon of builidings
This thesis addresses the need for resource-efficient city regions and emphasises the importance of tools and methods for revealing urban processes and interactions. Urban Analytics (UA) can contribute by employing computational methods like data collection, processing, visualisation, and modelling. The goal is to advance digital models supporting urban metabolism by exploring how UA methods can analyse urban material flows and enrich the UM framework to support strategies for closing material loops. Consider spatial, temporal, and behavioural factors influencing urban metabolism.
This thesis proposes a general framework for managing knowledge about resources and waste and employs UA to integrate spatial, temporal, and behavioural aspects. Adequate knowledge management and data standards facilitate information sharing across urban systems, enabling a holistic understanding of material flows and identifying information gaps.
Models incorporating spatial, temporal, and behavioural elements are explored in three strategies promoting circular material flows in city regions. Simulations of residential waste sorting, construction and demolition sector dynamics, and industrial symbiosis highlight the significance of considering location in analysing potential waste exchanges between firms at the regional scale. Methodologies are developed to identify possible partnerships, resulting in fewer exchanges.
In conclusion, this thesis underscores the importance of data models and simulation techniques in advancing UM. The models presented serve as preliminary steps to demonstrate the significance of incorporating spatial, temporal, and behavioural aspects when studying urban metabolism.
Ämneskategorier
Miljöanalys och bygginformationsteknik
Miljövetenskap
ISBN
978-91-8103-058-7
Doktorsavhandlingar vid Chalmers tekniska högskola. Ny serie: 5516
Utgivare
Chalmers