TL;DR: In this article, it is well known that building prefabrication has numerous prominent advantages, including shortening construction time, promoting efficiency, reducing air pollution, and so on.
Abstract: It is well known that building prefabrication has numerous prominent advantages, including shortening construction time, promoting efficiency, reducing air pollution, and so on. As a result, the Ch...
TL;DR: This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC.
Abstract: Off-site construction (OSC) is known as an efficient construction method that could save time and cost, reduce waste of resources, and improve the overall productivity of projects. Coupled with digital technologies associated with the Industry 4.0 concept, OSC can offer a higher rate of productivity and safety. While there is a rich literature focusing on both OSC and Industry 4.0, the implementation of associated digital technologies in the OSC context has not been fully evaluated. This paper intends to evaluate the current literature of digital technology applications in OSC. Scientometric analyses and a systematic review were carried out evaluating fifteen typical digital technologies adopted by OSC projects, including building information modelling (BIM), radio frequency identification devices (RFID), global positioning systems (GPS), the Internet of Things (IoT), geographic information systems (GIS), sensors, augmented reality (AR), virtual reality (VR), photogrammetry, laser scanning, artificial intelligence (AI), 3D printing, robotics, big data, and blockchain. This review formulates a clear picture of the current practice of these digital technologies and summarizes the main area of application and limitations of each technology when utilized in OSC. The review also points out their potential and how they can be better adopted to improve OSC practice in the future.
TL;DR: In this paper, a systematic review was conducted of policies related to prefabricated construction in China, which revealed a closely integrated policy network, the evolution of ambitious policy objectives, and the development of a combination of various policy instruments over different stages.
TL;DR: In this article, a prediction model was established by system dynamics, including direct CECI, indirect and operational CECIs, to accurately predict the peak of the peak carbon emission of the construction industry in China.
Abstract: China has become the world's largest carbon emitter, and its commitment to peak carbon emissions by 2030 is important for global development. The construction industry is one of China's biggest carbon emitters, and its peak has a direct impact on China's carbon commitment. Due to the regional heterogeneity of different provinces, the carbon emission of construction industry (CECI) at provincial level is of unique significance. To accurately predict the peak of provincial CECI, a prediction model was established by system dynamics, including direct CECI, indirect CECI and operational CECI. Taking Jiangsu province as an example, the single and multiple scenario settings with increasing R&D investment, promoting energy-saving buildings and implementing carbon trading from 2016 to 2030 was carried out, indicating that: 1) Without any carbon emission reduction measures, the CECI would maintain an annual growth rate of 5.58% to reach 530.61 million tons by 2030, and the indirect and operational CECI account for the majority of total with an average annual growth rate of 8.02% and 2.79% respectively. 2) All three measures had good carbon reduction effects, which would reduce the total CECI by 26.46% 21.68% and 10.68% respectively by 2030, but only when implemented simultaneously can CECI peak before 2030, 308.77 million tons at 2029. In the end, three policy implications was put forward. The framework presented in this paper provided a basis for the prediction of peak CECI in a province or state, which can help policy makers plan a more reasonable low-carbon development roadmap.
TL;DR: With a compound annual growth rate of 5.69%, the modular construction market is forecasted to increase to a market value of $154.8 million by the end of 2023 as mentioned in this paper.
Abstract: With a compound annual growth rate of 5.69%, the modular construction market is forecasted to increase to a market value of $154.8 million by the end of 2023. Traditional stick-built constr...
TL;DR: In this paper, the authors identified 12 key influencing factors through literature review and Delphi method under a 4R (i.e., robustness, rapidity, redundancy, and resourcefulness) framework, and used the DEMATEL and ISM methods to investigate their influencing mechanisms.