Menglin Dai

Biographic Data

ID8952673
NAMEMenglin Dai
GIVEN NAMESMenglin
FAMILY NAMEDai
SIGNATUREDAI M
AFFILIATIONSDepartment of Civil and Structural Engineering The University of Sheffield Sheffield UK
ORCID0000-0002-1139-6325
VERIFIEDYes
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2022
LATEST PUBLICATION YEAR2025
H-INDEX0

  • Modeling interior component stocks of UK housing using exterior features and machine learning techniques

    Open AccessMenglin Dai, Jakub Jurszyk et al.ARTICLEJournal of Industrial Ecology2025

    Building stock modeling is a vital tool for assessing material inventories in buildings, playing a critical role in promoting a circular economy, facilitating waste management, and supporting socio‐economic analyses. However, a major challenge in building stock modeling lies in achieving accurate component‐level assessments, as current approaches primarily rely on archetype‐based statistical data, which often lack precision. Addressing this chall…

  • A scalable data collection, characterization, and accounting framework for urban material stocks

    Open AccessHadi Arbabi, Maud Lanau et al.ARTICLEJournal of Industrial Ecology2022

    Building stocks represent an extensive reservoir of secondary resources. However, common bottom‐up characterization of these, often based on archetypal classification of buildings and their corresponding material intensity, are still not suitable to adequately inform circular economic strategies. Indeed, these approaches typically result in a loss of building‐specific details, and a building stock characterization in terms of material mass, for e…