Research on Barriers and Government Driving Force in Technological Innovation of Architecture Based on BIM
Run-Run Dong 1  
,  
 
 
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1
HeNan University of Technology, CHINA
2
University of Maryland, UNITED STATES
CORRESPONDING AUTHOR
Run-Run Dong   

HeNan University of Technology China. Address to No.100, Lianhua Rd., Zhengzhou City 450001, China. Tel: +86-186-2371-9217
Online publish date: 2017-08-22
Publish date: 2017-08-22
 
EURASIA J. Math., Sci Tech. Ed 2017;13(8):5757–5763
KEYWORDS
ABSTRACT
Technological innovation and knowledge transfer are a complex process, facing the challenges of various obstacles, may be the impact of technology, organizational, economic or talent, which requires innovation within the main and external power drive. BIM is gradually applied to the entire construction industry chain, in which the implementation of 3D modeling design application has been deeply rooted, stakeholders gradually accepted the BIM throughout the construction project life cycle development concept. Nine percent of stakeholders believe that BIM implementation is important. In the process of technological innovation and knowledge transfer, the priority of BIM implementation is focused on three aspects: cost, standard and talent. The choice of government driving force is focused on three aspects: fiscal and taxation support, national standard and education and training.
 
REFERENCES (13)
1.
Bae, A., Lee, D., & Park, B.-Y. (2015). Building information modeling utilization for optimizing milling quantity and hot mix asphalt pavement overlay quality. Canadian Journal of Civil Engineering, 43(10), 886-896. doi:10.1139/cjce-2015-0001.
 
2.
Bianco, M., Koss, R., & Zischka, K. (2016). Empowering emerging leaders in marine conservation: the growing swell of inspiration. A Quatic Conservation-marine and Freshwater Ecosystems, 256(2), 225-236. doi:10.1002/aqc.2650.
 
3.
Cao, D. (2016). Linking the Motivations and Practices of Design Organizations to Implement Building Information Modeling in Construction Projects: Empirical Study in China. Journal of Management in Engineering, 32(6). doi:10.1061/(ASCE)ME.1943-5479.0000453.
 
4.
Chong, H.-Y. (2016). The outlook of building information modeling for sustainable development. Clean Technologies and Environmental Policy, 18(6), 1877-1887. doi:10.1007/s10098-016-1170-7.
 
5.
Ghaffarianhoseini, A. (2016). Building Information Modelling (BIM) uptake: Clear benefits, understanding its implementation, risks and challenges. Renewable and Sustainable Energy Reviews, 75(8), 1046-1053. doi:10.1016/j.rser.2016.11.083.
 
6.
Grunewald, J. (2016). Netzwerken für Bauwerksinformationsmodelle BIM, Interoperabilität und Co-Simulation. Bauphysik, 38(6), 339. doi: 10.1002/bapi.201690057.
 
7.
Padegimas, E. M. (2016). Medicare Reimbursement for Total Joint Arthroplasty: The Driving Forces. The Journal of Bone and Joint Surgery, 98(12), 1007-1013. doi:10.2106/JBJS.15.00599.
 
8.
Peng, L. (2016). Spatiotemporal Dynamics and Drivers of Farmland Changes in Panxi Mountainous Region, China. Sustainability, 8(11), 1209. doi:10.3390/su8111209.
 
9.
Qiu, J. (2016). Building national laboratories to meet China’s development challenges. National Science Review, 3(3), 387-391. doi:10.1093/nsr/nww048.
 
10.
Shen, H. (2015). Dynamic Commercial Façades versus Traditional Construction: Energy Performance and Comparative Analysis. Journal of Energy Engineering, 141(4), 141-147. doi:10.1061/(ASCE)EY.1943-7897.0000225.
 
11.
Skandhakumar, N. (2016). Graph theory based representation of building information models for access control applications. Autamation in Construction, 68(8), 44-51. doi:10.1016/j.autcon.2016.04.001.
 
12.
Turk, Ž. (2016). Ten questions concerning building information modelling. Building and Environment, 107(10), 274-284. doi:10.1016/j.buildenv.2016.08.001.
 
13.
Xiao, L. (2016). Chinese Housing Reform and Social Sustainability: Evidence from Post-Reform Home Ownership. Sustainability, 8(10), 1053. doi:10.3390/su8101053.
 
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