Evidence map›Paper›PMID 42238786›Full record

ArticleJournal of industrial ecology2026

BUD-MI: a template that optimizes material intensity data collection and utilization.

Maud Lanau, Charles Gillott, Will Mihkelson, Kimberlee Zamora, Peter Berrill, Niko Heeren, Georg Schiller, Ruichang Mao, Mohit Arora, Karin Gruhler and 3 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of industrial ecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Maud LanauDivision of Sustainable Built Environments, Department of Architecture and Civil Engineering, Chalmers University of Technology, Gothenburg, Sweden.
Charles GillottSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, SE-41296 UK.
Will MihkelsonSchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, SE-41296 UK.
Kimberlee ZamoraConstruction Management Department, School of Engineering, Widener University, Chester, PA US.
Peter BerrillInstitute of Environmental Sciences (CML), Leiden University, Leiden, The Netherlands.
Niko HeerenConstruction Office, City of Zurich, Zurich, Switzerland.
Georg SchillerLeibniz Institute of Ecological Urban and Regional Development, Dresden, Germany.
Ruichang MaoFaculty of Geographical Science and Engineering, Henan University, 450046 Zhengzhou, China.
Mohit AroraNet Zero Centre, Department of Engineering, King's College London, London, UK.
Karin GruhlerLeibniz Institute of Ecological Urban and Regional Development, Dresden, Germany.
Gang LiuCollege of Urban and Environmental Sciences, Peking University, Beijing, 100871 China.
Hiroki TanikawaGraduate School of Environmental Studies, Nagoya University, Nagoya, Japan.
Danielle Densley TingleySchool of Mechanical, Aerospace and Civil Engineering, The University of Sheffield, Sheffield, SE-41296 UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mapping construction material stocks is essential for understanding socioeconomic metabolism and informing the circular economy. However, spatial material stock studies often produce coarse results owing to challenges in material intensity development. This paper introduces BUD-MI (Bottom-Up Data: Material Intensity), a material intensity data collection template designed with three core objectives: streamlining the data collection process during building sampling, supporting cumulative research while ensuring project-specific relevance, and enhancing the utility of results for the construction industry. BUD-MI aims to assist researchers, students, and construction practitioners in developing material intensity data in line with these three objectives. The development process required identifying material intensity challenges, eliciting requirements, mapping relevant domain work and creating missing ones, and assembling them all into BUD-MI. The template consists of three data input tabs, two mini-tools for data input assistance, four result generation tabs, and additional tabs for background data and ancillary information. A case study in Sheffield, UK, illustrates BUD-MI's functionalities, enabling bespoke material intensity results to be disaggregated across building elements and components. BUD-MI supports future material intensity data collection efforts, ensuring data quality, granularity, comparability, transferability, and availability, thereby advancing socioeconomic metabolism and circular economy research and practice. Supplementary Information: The online version contains supplementary material available at 10.1007/s44498-026-00044-w.

Indexed as

Building material stockCircular economyCumulative researchData collection templateIndustrial ecologyMaterial intensity

Identifiers

PMID42238786
PMCPMC13226353

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.