Analyzing green building project risk interdependencies using Interpretive Structural Modeling

被引:83
|
作者
Guan, Li [1 ]
Abbasi, Alireza [1 ]
Ryan, Michael J. [1 ]
机构
[1] Univ New South Wales, Sch Engn & Informat Technol, POB 7916, Canberra, BC 2610, Australia
关键词
Green building projects; Risk management; Risk interdependencies; Interpretive structural modeling (ISM); Matrice d'Impacts Croises Multiplication Appliquee a un Classement (MICMAC) analysis; SUSTAINABLE CONSTRUCTION; TECHNOLOGIES ADOPTION; EXISTING BUILDINGS; RETROFIT PROJECTS; BARRIERS; PERFORMANCE; IDENTIFICATION; MANAGEMENT; DRIVERS; ENERGY;
D O I
10.1016/j.jclepro.2020.120372
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Green building (GB) projects have attracted wide attention in the construction industry in recent years owing to numerous benefits of green practices for sustainable development. However, existing research efforts on GB project risk management are very limited, and no prior in-depth research has focused on studying the risk interdependencies in GB projects from the perspectives of both the project life cycle and multiple project risks. This paper begins by identifying and distinguishing GB project constraints from multiple GB project risks using a systematic literature review and then investigates, based on the Interpretive Structural Modeling (ISM) method, the risk interdependencies taking into account the identified 16 constraint factors, 22 risk factors and 11 objectives throughout a GB project life cycle. The importance of constraints and risk factors associated with GB project objectives was calculated based on the influence transmission through network paths in the established ISM-based model. In addition, the Matrice d'Impacts Croises Multiplication Appliquee a un Classement (MICMAC) approach was used to analyze the drive and dependence powers of risk interdependency elements. Critical constraints and risk factors in the implementation of GB projects can be obtained from the proposed risk analysis model, which contributes to an in-depth risk perception of GB projects for industry practitioners and facilitates GB project risk management in a more effective way. (c) 2020 Elsevier Ltd. All rights reserved.
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页数:17
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