Analysing factors affecting developers’ behaviour towards the adoption of prefabricated buildings in China

Wang, Yanjie; Wang, Fucheng; Sang, Peidong; Huan-bin, Song

doi:10.1007/s10668-021-01265-8

Cited by 14 publications

(8 citation statements)

References 50 publications

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“…The PH development process comprises stages such as conception, design, manufacturing, construction, and maintenance (Figure 1), each overseen by developers who influence project characteristics such as the scale, location, ownership type, and stakeholder engagement [6,15]. Throughout this entire process, the developers also function as orchestrators of a complex network of stakeholders including designers, contractors, regulatory bodies, and the public [16]. Unlike traditional projects, PH projects require intricate coordination among stakeholders due to the off-site fabrication and on-site assembly nature of prefabricated components [5].…”

Section: Role Of Developers In Prefabricated Housingmentioning

confidence: 99%

How Do Developers Influence the Transaction Costs of China’s Prefabricated Housing Development Process? An Investigation through the Bayesian Belief Network Approach

Wu,

Qian,

Straub

et al. 2024

Systems

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The implementation of prefabricated housing (PH) has become prevalent in China recently due to its advantages in enhancing production and energy-saving efficiency within the construction system. However, stakeholders may not always fully realize the benefits of adopting PH due to the emergence of transaction costs (TCs) in the development process of such projects. This study investigated the strategies for developers to make rational choices for minimizing the TCs of the PH project considering their own attributes and external constraints. A Bayesian Belief Network model was applied as the analytical method, based on surveys conducted in China. A single sensitivity analysis indicated that developers influence the TCs of PH through the following three most impactful factors: prefabrication rate, PH experience, and contract payment method. Integrated strategies are recommended for developers in various situations based on a multiple sensitivity analysis. Developers facing challenges due to high prefabrication rates are advised to reduce the risks by procuring highly qualified general contractors and adopting unit-price contracts. For developers with limited PH experience, adopting the Engineering–Procurement–Construction procurement method is the most efficient way to reduce their TCs in the context of China’s PH market. This study contributes to the current body of knowledge concerning the effect of traders’ attributes and choices on TCs, expanding the application of TC theory and fulfilling the study on the determinants of TCs in construction management.

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Section: Role Of Developers In Prefabricated Housingmentioning

confidence: 99%

How Do Developers Influence the Transaction Costs of China’s Prefabricated Housing Development Process? An Investigation through the Bayesian Belief Network Approach

Wu,

Qian,

Straub

et al. 2024

Systems

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“…Besides, Hwang et al (2018) conducted a study in Singapore and identified that the increased initial cost also involves additional project planning and design efforts. Thus, numerous studies have revealed that economic feasibility is a significant factor, and it is natural to conclude that developers' economic strength is positively correlated with developers' willingness to adopt prefabrication (Li, 2020;Wang et al, 2021b;Wu et al, 2019a). With the support of economic strength, powerful developers would attract the talents in this field and are willing to adopt prefabricated construction (Wang et al, 2021b).…”

Section: Literature Reviewmentioning

confidence: 99%

“…Under this circumstance, the factors affecting developers' willingness have been explored in existing studies, and these documents have contributed to the literature on prefabricated housing management. For example, economic factors were considered important in many studies (Li, 2020; Wang et al ., 2021b). Additionally, other studies have focused on the impact of government policies on developers' willingness, and identified the most effective governance tools (Gao and Tian, 2020; Luo et al ., 2021; Xue et al ., 2021).…”

Section: Introductionmentioning

confidence: 99%

Investigating the mechanism of developers' willingness to adopt prefabricated housing using an integrated DEMATEL-SD framework

Yang

et al. 2023

ECAM

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PurposePrefabricated construction is an innovative technique for decreasing carbon emissions in the construction industry. However, as the investors of housing projects, a majority of developers are unwilling to adopt prefabricated housing in practice. To promote prefabricated housing, this study aims to develop an integrated framework of fuzzy-decision making trial and evaluation laboratory (fuzzy-DEMATEL) and system dynamics (SD) to understand the underlying influencing mechanism of developers' willingness.Design/methodology/approachThrough literature review, a total of 17 influencing factors were identified. Then, the interrelationships among the factors were evaluated by 10 experienced professionals, and the impacts given and received by each factor were further analyzed through fuzzy-DEMATEL. Based on the technology acceptance model (TAM), a SD model was developed to explore the influencing mechanism.FindingsThe major cause factors were identified, including mandatory implementation policies, economic incentive policies, environmental protection policies, component standardization and developers' economic strength. This group of factors was expected to be given priority attention in the case of limited resources. On the other hand, the results indicated that economic incentive policies and mandatory implementation policies could affect the developers' willingness via perceived usefulness, while the others mainly influenced perceived ease of use.Originality/valueLittle research has focused on the interrelationships among the influencing factors of developers' willingness to adopt prefabricated housing. This study contributed to understanding the mechanism of developers' willingness from a systematic view and providing the priority of influencing factors. Several strategies were proposed to improve the practical implementation of prefabricated housing development.

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“…e safety management in the hoisting construction of prefabricated buildings is difficult, which is related to the current situation that the development of prefabricated buildings in China is not quite mature. e relevant technical standards are not complete, and the management concept also stays at the traditional level of safety management [12]. Faced with the frequent safety management bottleneck of hoisting accidents in various industries, the safety management of component hoisting of prefabricated buildings has received much attention.…”

Section: Prefabricated Hoisting Construction (1) Composition Of Prefa...mentioning

confidence: 99%

Analysis of Safety Behavior of Prefabricated Building Workers’ Hoisting Operation Based on Computer Vision

2022

Mathematical Problems in Engineering

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Safety accidents occur frequently in the construction industry, and unsafe behavior of workers is one of the main reasons for the occurrence of safety accidents. In recent years, the rapid development of emerging technologies has provided effective support for the automatic identification of unsafe behaviors. In particular, computer vision technology does not require equipment to be attached to workers. It has little impact on its operation and can process a large amount of image data in a timely and fast manner. Therefore, it is more suitable for the construction site environment. This study starts from the hoisting operation on the construction site of prefabricated building projects and introduces relevant machine learning methods. Early warning analysis on the safety risk of the tower crane is carried out to complete the hoisting operation of prefabricated components. To suspend dangerous tasks in time according to the warning results, relevant measures are taken and potential risks are eliminated to prevent accidents.

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Analysing factors affecting developers’ behaviour towards the adoption of prefabricated buildings in China

Cited by 14 publications

References 50 publications

How Do Developers Influence the Transaction Costs of China’s Prefabricated Housing Development Process? An Investigation through the Bayesian Belief Network Approach

How Do Developers Influence the Transaction Costs of China’s Prefabricated Housing Development Process? An Investigation through the Bayesian Belief Network Approach

Investigating the mechanism of developers' willingness to adopt prefabricated housing using an integrated DEMATEL-SD framework

Analysis of Safety Behavior of Prefabricated Building Workers’ Hoisting Operation Based on Computer Vision

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