Open Access
Issue
SHS Web of Conf.
Volume 44, 2018
IV International Scientific Conference “The Convergence of Digital and Physical Worlds: Technological, Economic and Social Challenges” (CC-TESC2018)
Article Number 00033
Number of page(s) 9
DOI https://doi.org/10.1051/shsconf/20184400033
Published online 05 June 2018
  1. N. E. Klepeis, W. C. Nelson, W. R. Ott, J. P. Robinson, A. M. Tsang, P. Switzer, The National Human Activity Pattern Survey (NHAPS): A resource for assessing exposure to environmental pollutants. Journal of Exposure Analysis and Environmental Epidemiology, 11(3), 231-252 (2001) [online], Available at: [https://www.nature.com/articles/7500165.pdf, date of referencing 01.02.2018] [Google Scholar]
  2. Global Construction Perspectives and Oxford Economics, Global Construction 2025 (2013) [Google Scholar]
  3. World Economic Forum, The Boston Consulting Group, Shaping the Future of Construction. A Breakthrough in Mindset and Technology (2016) [online], Available at: [http://www3.weforum.org/docs/WEF_Shaping_the_Future_of_Construction_full_report__.pdf, date of referencing 29.01.2018] [Google Scholar]
  4. World Steel Association, World Steel in Figures 2015 (2015) [online], Available at: [https://aceroplatea.es/docs/WorldSteelFigures2015.pdf, date of referencing 29.01.2018] [Google Scholar]
  5. United Nations Environment Programme, Buildings and Climate Change: Status, Challenges and Opportunities (2007) [online], Available at: [http://hdl.handle.net/20.500.11822/7783, date of referencing 30.01.2018] [Google Scholar]
  6. M. Ishkenova, A brief review of construction sector in the USA, Turkey and EU states (2016) [online], Available at: [http://rfcaratings.kz/wp-content/uploads/2015/11/Stroitelnyj-sektor-RK-_okt.2016-g..pdf, date of referencing 31.01.2018] [Google Scholar]
  7. R. Agarwal, S. Chandrasekaran, M. Sridhar, Imaginingconstruction’sdigitalfuture (2016) [online], Available at: [https://www.mckinsey.com/industries/capital-projects-and-infrastructure/our-insights/imagining-constructions-digital-future, date of referencing 01.02.2018] [Google Scholar]
  8. A. Ward, A. Kirchherr, P. Wales, International comparisons of labour productivity by industry: 2014 (2017) [online], Available at: [https://www.ons.gov.uk/economy/economicoutputandproductivity/productivitymeasures/articles/internationalcomparisonsoflabourproductivitybyindustry/2014#results. date of referencing 01.01.2018] [Google Scholar]
  9. L. Probst, E. Monfardini, L. Frideres, S. Moujahid, P. Luxembourg, Smart Living: Advanced building materials (2014) [Google Scholar]
  10. http://info.carboncure.com/xprize-team [Google Scholar]
  11. K. Schwab, The Fourth Industrial Revolution (2017) [Google Scholar]
  12. P. Gerbert, M. Lorenz , M. Rüßmann, M. Waldner, J. Justus, P. Engel, M. Harnisch, Industry 4.0: The Future of Productivity and Growth in Manufacturing Industries (2015) [online], Available at: [http://image-src.bcg.com/Images/Industry_40_Future_of_Productivity_April_2015_tcm9-61694.pdf, date of referencing 01.02.2018] [Google Scholar]
  13. Case Study prepared by the Boston Consulting Group as part of the Future of Construction Project at the World Economic Forum Demonstrating the Viability of 3D Printing at Construction Scale (2016) [Google Scholar]
  14. P. Gerbert, S. Castagnino, C. Rothballer, A. Renz, R. Filitz, Digitalin Engineering and Construction. The Transformative Power of Building Information Modeling (2016) [online], Available at: http://futureofconstruction.org/content/uploads/2016/09/BCG-Digital-in-Engineering-and-Construction-Mar-2016.pdf (2018) [Google Scholar]
  15. https://www.onemap.sg/main/v2/ (2018) [Google Scholar]
  16. K. Parvan, Estimating the Impact of BIM Utilization on Building Project Performance [online] Available at: http://hdl.handle.net/1903/13063 (2012) [Google Scholar]
  17. World Economic Forum, The Boston Consulting Group, Shaping the Future of Construction. An Action Plan to Accelerate Building Information Modeling (BIM) Adoption [online], Available at: http://www3.weforum.org/docs/WEF_Accelerating_BIM_Adoption_Action_Plan.pdf (2018) [Google Scholar]
  18. Standard BS 1192:2007+A2:2016,Collaborative production of architectural, engineering and construction information – Code of practice (2007) [Google Scholar]
  19. Federal Ministry of Transport and Digital Infrastructure: Road Map for Digital Design and Construction - Introduction of modern, IT-based processes and technologies for the design, construction and operation of assets in the built environment (2015) [online], Available at: [https://www.bmvi.de/SharedDocs/EN/publications/road-map-for-digital-design-and-construction.pdf?__blob=publicationFile, date of referencing 01.02.2018] [Google Scholar]
  20. Dodge Data & Analytics, The Business Value of BIM in China http://images.marketing.construction.com/Web/DDA/%7B43cf3d41-46b5-4413-8aea-40d30e7ac57f%7D_EN_Business_Value_of_BIM_In_China_SMR.pdf (2015) [Google Scholar]
  21. Implementation plan of staged information modeling technologies in the area of industrial and civil construction approved by order of the Ministry of construction and housing and utilities infrastructure of the Russian Federation N 926/пр dated December 29, 2014 (2014) [Google Scholar]
  22. E. U. Elkina, West Irkutsk State Technical University, Latent risks in innovative development and reduction in quality control during investment projects in housing construction, 9 (92) (2014) [Google Scholar]
  23. F. M. Bass, T. V. Krishnan, D. Jain, Marketing Science, Why the Bass Model Fits Without Decision Variables, 13 (Summer) (1994) [Google Scholar]
  24. A. A. Alexeev, Economy and National economy management, Engineering innovation mechanisms in construction 10(131) (2015) [Google Scholar]
  25. Information-analytical agency INFOLine, 200 largest construction projects of shopping centers in RF. 2015-2018 projects (2015) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.