Research on the Development of 3D Printing Construction Industry Based on Diamond-Model (2018-08)¶
Liu Jingkuang,
Contribution - Proceedings of the International Conference on Construction and Real Estate Management, pp. 164-176
Abstract
The birth of 3D printing technology has led to the vigorous development of intelligent building. China’s 3D printing construction industry started lately and developed in chaos, but its potential is huge. In this paper, the diamond model is used to analyze 3D printing construction industry from six aspects, such as production factors, demand conditions, enterprise strategy and market competition subject, related industry, development opportunity, and government behavior. It points out the bottleneck of industrial development, and puts forward countermeasures and suggestions for its healthy and sustainable development such as combining the upstream and downstream of the industry, increasing the investment in scientific research, and establishing a sound system.
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2 References
0 Citations
BibTeX
@inproceedings{liu_li.2018.RotDo3PCIBoDM,
author = "Jingkuang Liu and Guokai Li",
title = "Research on the Development of 3D Printing Construction Industry Based on Diamond-Model",
doi = "10.1061/9780784481721.020",
year = "2018",
pages = "164--176",
booktitle = "Proceedings of the International Conference on Construction and Real Estate Management",
editor = "Yaowu Wang and Yimin Zhu and Geoffrey Q. P. Shen and Mohamed Al Hussein",
}
Formatted Citation
J. Liu and G. Li, “Research on the Development of 3D Printing Construction Industry Based on Diamond-Model”, in Proceedings of the International Conference on Construction and Real Estate Management, 2018, pp. 164–176. doi: 10.1061/9780784481721.020.
Liu, Jingkuang, and Guokai Li. “Research on the Development of 3D Printing Construction Industry Based on Diamond-Model”. In Proceedings of the International Conference on Construction and Real Estate Management, edited by Yaowu Wang, Yimin Zhu, Geoffrey Q. P. Shen, and Mohamed Al Hussein, 164–76, 2018. https://doi.org/10.1061/9780784481721.020.