A Novel Index for Measuring the Level of Modularization in Building Construction

Zhiqian Zhang (), Yang Li and Wei Pan
Additional contact information
Zhiqian Zhang: The University of Hong Kong
Yang Li: The University of Hong Kong
Wei Pan: The University of Hong Kong

Chapter Chapter 116 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 1681-1695 from Springer

Abstract: Abstract Modular integrated construction (MiC) has been increasingly adopted for buildings. Different MiC systems engage different levels of modularization (LoM), which however has not been explored in the literature. This paper aims to develop a novel index, modular integrated rate (MIR), to quantitatively measure the LoM of modular buildings. MIR is a composition of modularization rate (MR) which indicates the modularized area of a floor plan and integration rate (IR) which specifies the integration of architectural, structural, and building services works into modules. Using a real-life MiC building project, MIR is demonstrated effective in comprehensively reflecting LoM. The study also indicates a strong impact of LoM on construction efficiency, e.g. a strong negative correlation of MIR with construction time. Notably, the case scenario with the highest MIR (71%) could reduce the floor cycle to less than 4 days. The paper contributes a novel approach to quantitatively measuring building modularization, which should facilitate a step change in MiC system design, evaluation and selection for enhanced efficiency.

Keywords: Modular integrated construction; Level of modularization; Integration rate; Modularization rate; Building (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-1949-5_117

Ordering information: This item can be ordered from
http://www.springer.com/9789819719495

DOI: 10.1007/978-981-97-1949-5_117

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().