The hindrance to using prefabrication in Hong Kong's building industry

Zhang, Wei; Lee, Ming Wai; Jaillon, Lara; Poon, Chi Sun

doi:10.1016/j.jclepro.2018.08.190

Cited by 107 publications

(125 citation statements)

References 42 publications

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“…A construction enterprise's satisfaction with PC is mainly affected by time, cost and productivity. However, construction companies are unwilling to adopt PC techniques because of high capital costs, difficulties in achieving economies of scale, immature production of prefabricated components, enterprise culture of avoiding risks [14,15], and lack of experience in operating such projects [16]. The adoption of a conservative strategy [17] established a dynamic assembly simulation dynamic model, analyzing the factors affecting assembly progress from three levels, including inefficient quality inspection and design data conversion, asynchronous data in the industry chain, and poor collaboration among enterprises due to design changes.…”

Section: Literature Reviewmentioning

confidence: 99%

Factors affecting prefabricated construction promotion in China: A structural equation modeling approach

et al. 2020

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Prefabricated construction (PC) has attracted wide spread attention as a model of sustainable development for the construction industry of the future. Although the PC has many advantages, it is still at an initial stage in China. Based on the current conditions in China, this study focuses on the interrelationships of factors affecting PC promotion. Firstly, through a comprehensive review of relevant literatures and expert recommendations, 5 factors were identified: policy factor, technical factor, management factor, market factor and cost factor. Next, the data were collected through a questionnaire survey, and the questionnaire data were processed using SPSS 24.0 and AMOS 22.0. The overall relationships of each factor were quantitatively analyzed with Structural Equation Modeling (SEM). The results show that the policy factor plays a dominant role, while the management factor and market factors are also significant. This study also provides decision makers with relevant information about the factors involved, which will be helpful in devising appropriate strategies for the wider adoption of PC. OPEN ACCESS Citation: Jiang W, Huang Z, Peng Y, Fang Y, Cao Y (2020) Factors affecting prefabricated construction promotion in China: A structural equation modeling approach. PLoS ONE 15(1): e0227787. https://doi.

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Section: Literature Reviewmentioning

confidence: 99%

Factors affecting prefabricated construction promotion in China: A structural equation modeling approach

et al. 2020

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“…The search terms included barrier, barrier-like words, design, design-like words, prefabricated buildings, and many others. However, after careful reading, only five journal articles [25][26][27][28][29][30] and two online articles were ultimately selected for their valuable content. By reviewing the previous files on three prefabricated building projects, some practical relevant content was found and recorded.…”

Section: Gt-based Barrier Identificationmentioning

confidence: 99%

“…Montali et al [25] presented a series of challenges in facade design: the intrinsic interdependence of the design process, manufacturability information challenges, and a lack of multiobjective optimization and predictive design. Zhang et al [26] summarized some hindrances to prefabrication design, including a long design time, a lack of design change flexibility, few available codes and standards, a lack of experienced designers, and the absence of management experience. Wu et al [27] listed the design-related risks in prefabricated buildings: an insufficient consideration of supply chain conditions, the insufficient experience of architects and engineers, poor interdisciplinary design coordination, and a lack of standards and codes.…”

mentioning

confidence: 99%

Research on the Barrier Analysis and Strength Measurement of a Prefabricated Building Design

Yuan

Wang

et al. 2020

Sustainability

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As a sustainable and cleaner type of facility, prefabricated buildings face more design barriers than traditional non-prefabricated buildings. Identifying and managing these barriers is key to improving the success rate of prefabricated building design. However, direct studies on these design barriers are extremely rare. The present study solved this problem by combining multiple methods, including grounded theory (GT), structured self-intersection matrix (SSIM), analytic network process (ANP), and the linear weighted sum method (LWSM). GT was adopted to identify the barriers to prefabricated building design and then SSIM was used to analyze the interactions among them. The eight design barriers were finally identified and classified into three clusters: technical barriers, economic barriers, and management barriers. A further analysis found that there is dependence and feedback among these clusters. The technical barrier cluster and management barrier cluster experience self-feedback. A network model based on ANP was next established to calculate the weights of the barrier elements and then this model was combined with LWSM to evaluate the overall design barrier strength of a project case. The results showed that architectural individualization has the greatest impact on prefabricated building design, followed by the collaborative issues among multiple units and professional designer issues. The overall design barrier strength of the project case was larger. Therefore, the first suggestion provided to the facility management sector is to establish a library for standard house types to achieve architectural design through multihouse combinations.Sustainability 2020, 12, 2994 2 of 16 construction [7], and off-site construction [8]. Whether emergency-driven or market-driven, prefabricated buildings are becoming increasingly popular. However, several barriers affecting the development of prefabricated buildings are often mentioned, including a higher total cost [9], impaired aesthetics [10], additional risks [11], a lack of professional expertise [12], and the absence of management experience [13]. Nevertheless, prefabricated buildings are still favored by the government of China due to their many advantages, including their faster construction speed [14], less required on-site labor [15], higher construction quality [16], sustainable development [17], and superior occupational health and safety [18]. With the development of prefabricated buildings, some new issues are beginning to emerge and become increasingly prominent, especially the design changes of prefabricated buildings. Bogenstatter noted that the design stage determines up to 80% of operational costs, as well as the environment impacts [19,20]. Hence, design changes can waste a great deal of time and money and even affect the quality of buildings. Overcoming this issue remains a troubling prospect for industry insiders and researchers.Design changes are common not just for ordinary buildings but also for prefabricated buildings. However, the design of a p...

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“…The Hong Kong Buildings Department issued a series of financial incentive policies to promote the development of prefabrication, in which the reward of gross floor area (GFA) has the greatest attraction for real estate enterprises. Based on the policy, real estate enterprises can increase the volumetric rate of their projects to gain additional GFA if they adopt prefabricated construction methods, such as non-structural external walls [65]. Strengthening government financial incentives can increase the enthusiasm of real estate enterprises to implement prefabrication.…”

Section: Moderating Roles Of Reputational Incentives and Financial Inmentioning

confidence: 99%

Impacts of Consumers and Real Estate Enterprises on the Implementation of Prefabrication in Residential Buildings: The Moderating Role of Incentive Policies

2019

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Based on the theory of Planned Behavior, this study firstly explored the relationship between the behavioral intention and the actual behavior of consumers and real estate enterprises when choosing prefabricated residential buildings. Partial Least Squares Structural Equation Modeling (PLS-SEM) was adopted, being supported by the questionnaire data from 310 respondents of 14 prefabricated building demonstration cities in China, to achieve the purpose. The results show that there is a gap between the behavioral intention and the actual behavior of consumers and real estate enterprises. The moderating effect of reputational incentive policies and financial incentive policies was examined to bridge the gap. It shows that reputational incentive policies and financial incentive policies are an effective way in promoting the behavioral intention and actual behavior of real estate enterprises when adopting prefabricated residential buildings, but they all do not work for consumers. The findings can help government understand the preference of consumers and real estate enterprises, so as to use governance incentive policies more wisely and rationally under various circumstances.

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The hindrance to using prefabrication in Hong Kong's building industry

Cited by 107 publications

References 42 publications

Factors affecting prefabricated construction promotion in China: A structural equation modeling approach

Factors affecting prefabricated construction promotion in China: A structural equation modeling approach

Research on the Barrier Analysis and Strength Measurement of a Prefabricated Building Design

Impacts of Consumers and Real Estate Enterprises on the Implementation of Prefabrication in Residential Buildings: The Moderating Role of Incentive Policies

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