ISM-MICMAC Model-Based Construction Risk Evaluation for Green Retrofit Project of Public Buildings

Shengnan Li (), Xiaosen Huo and Liudan Jiao
Additional contact information
Shengnan Li: Chongqing Jiaotong University
Xiaosen Huo: Chongqing Jiaotong University
Liudan Jiao: Chongqing Jiaotong University

A chapter in Proceedings of the 27th International Symposium on Advancement of Construction Management and Real Estate, 2023, pp 960-974 from Springer

Abstract: Abstract As the risks in construction phase of public building green renovation projects are complex, a reasonable evaluation of the risk hierarchy, identification of key risk relationships, and analysis of risk transmission paths make an important foundation for making efficient risk control measures. In this study, 23 risk factors in the construction phase of public building green renovation projects were firstly sorted out, a four-level hierarchical structure of the risk system was derived by applying the ISM modeling method, combing with the MICMAC method to calculate the driving forces and dependencies of risk factors. And to divide the risk factors into three clusters: independent cluster, autonomous cluster, and dependency cluster. The results of the study can provide reference and decision-making ideas for risk management of green retrofit projects in public buildings. The model results show that risk factors including the policy, supervisory responsibility, technical management experience, personnel safety awareness, and equipment operation risks, as deep-level influencing factors, have a high driving force and strong influence, and should be actively controlled as risk sources. Contract and related management risks, which are at the surface level, are not only susceptible to the influence of other levels in the system but also have complex interactions within the levels.

Keywords: green retrofit; public buildings; risk assessment; ISM-MICMAC model (search for similar items in EconPapers)
Date: 2023
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:978-981-99-3626-7_74

Ordering information: This item can be ordered from
http://www.springer.com/9789819936267

DOI: 10.1007/978-981-99-3626-7_74

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 ().