Waste and the Urban Economy: A Semantic Network Analysis of Smart, Circular, and Digital Transitions

As cities confront rising populations and mounting environmental pressures, waste is rapidly transforming from a logistical liability into a strategic economic resource. In this article, we investigate the evolving nexus between waste and urban economic systems by analyzing over 2000 scientific publications sourced from Web of Science and Scopus. Using advanced semantic embedding and network analysis, we identify seven major research communities at the intersection of digital innovation, circular economy, and smart urban infrastructure. Through PageRank-based influence mapping, we highlight key contributions that shape each thematic cluster—ranging from AI-powered waste classification to blockchain-enabled traceability and IoT-driven logistics. Our results reveal a dynamic and interdisciplinary research landscape where waste valorisation is not only a sustainability imperative but also a driver of urban economic renewal. This study offers both a conceptual map and a methodological framework for understanding how cities can embed intelligence, efficiency, and circularity into waste systems as part of a broader transition to regenerative, data-informed urban economies.

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Publication Details

Journal
Urban Science
Published
2025-10-03
DOI
https://doi.org/10.3390/urbansci9100410
Primary Topic
Smart Cities and Technologies
Type
article
Field-Weighted Citation Impact
0.00
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article

Waste and the Urban Economy: A Semantic Network Analysis of Smart, Circular, and Digital Transitions

Saša Čegar, Saša Drezgić, Dragan Čišić
Urban Science
Smart Cities and Technologies
article

Waste and the Urban Economy: A Semantic Network Analysis of Smart, Circular, and Digital Transitions

Saša Čegar, Saša Drezgić, Dragan Čišić
article en

Abstract

As cities confront rising populations and mounting environmental pressures, waste is rapidly transforming from a logistical liability into a strategic economic resource. In this article, we investigate the evolving nexus between waste and urban economic systems by analyzing over 2000 scientific publications sourced from Web of Science and Scopus. Using advanced semantic embedding and network analysis, we identify seven major research communities at the intersection of digital innovation, circular economy, and smart urban infrastructure. Through PageRank-based influence mapping, we highlight key contributions that shape each thematic cluster—ranging from AI-powered waste classification to blockchain-enabled traceability and IoT-driven logistics. Our results reveal a dynamic and interdisciplinary research landscape where waste valorisation is not only a sustainability imperative but also a driver of urban economic renewal. This study offers both a conceptual map and a methodological framework for understanding how cities can embed intelligence, efficiency, and circularity into waste systems as part of a broader transition to regenerative, data-informed urban economies.

Urban ScienceVol. 9(10)
University of Rijeka (HR), European University Cyprus (CY), Akademie der bildenden Künste Wien (AT)
Openalex Percentile: Top 60%
Smart Cities and Technologies
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