Modeling Bridge Lifespans and Material Flows for a Circular Urban Future

Bridges are more than vital transportation links—they are also repositories of vast material resources that can be reclaimed to support a circular economy [2,3]. In a pioneering study, Lange, Abdelshafy, and Walther [4] present a dynamic-locational material flow analysis (DL-MFA) framework to model the quantity, longevity, and spatial distribution of bridge infrastructure. This approach enables precise forecasting of material flows resulting from demolition, offering essential insights for sustainable urban planning.

Publication Details

Journal
PhilPapers (PhilPapers Foundation)
Published
2025-01-01
Primary Topic
Natural Language Processing Techniques
Type
article
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article

Modeling Bridge Lifespans and Material Flows for a Circular Urban Future

PhilPapers (PhilPapers Foundation)
Natural Language Processing Techniques
article

Modeling Bridge Lifespans and Material Flows for a Circular Urban Future

article en

Abstract

Bridges are more than vital transportation links—they are also repositories of vast material resources that can be reclaimed to support a circular economy [2,3]. In a pioneering study, Lange, Abdelshafy, and Walther [4] present a dynamic-locational material flow analysis (DL-MFA) framework to model the quantity, longevity, and spatial distribution of bridge infrastructure. This approach enables precise forecasting of material flows resulting from demolition, offering essential insights for sustainable urban planning.

PhilPapers (PhilPapers Foundation)
Sustainable cities and communities
Openalex Percentile: Top 72%
Natural Language Processing Techniques
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Modeling Bridge Lifespans and Material Flows for a Circular Urban Future · PhilPapers (PhilPapers Foundation) (2025) | TGRS Research Map | TGRS