A transition probability analysis of material flows in the European aggregates industry

Jonas Grafström & Siri Rydén

Construction Management and Economics2026https://doi.org/10.1080/01446193.2026.2616455article
AJG 2ABDC A
Weight
0.50

Abstract

Recycled aggregates materials are often relegated to downcycled applications such as backfilling. Different barriers limit their reintegration into higher-value construction use. This paper develops a probabilistic model of material flows using a Markov chain framework to simulate transitions between four states: Input, Use/Waste, Recycling, and Disposal. The model draws on Eurostat data covering non-metallic minerals in 27 EU Member States (2014–2023) and incorporates barrier-adjusted transition probabilities reflecting economic, technological, institutional, and social constraints. Scenario simulations reveal that improvements in recycling probabilities can yield nonlinear gains in material retention. However, once structural barriers are introduced, system performance declines sharply—even under favourable technical assumptions. The results suggest that modest policy interventions may have outsized effects if targeted toward key transition points.

Open via your library →

Cite this paper

https://doi.org/https://doi.org/10.1080/01446193.2026.2616455

Or copy a formatted citation

@article{jonas2026,
  title        = {{A transition probability analysis of material flows in the European aggregates industry}},
  author       = {Jonas Grafström & Siri Rydén},
  journal      = {Construction Management and Economics},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/01446193.2026.2616455},
}

Paste directly into BibTeX, Zotero, or your reference manager.

Flag this paper

A transition probability analysis of material flows in the European aggregates industry

Flags are reviewed by the Arbiter methodology team within 5 business days.


Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.