249
Views
51
CrossRef citations to date
0
Altmetric
Original Articles

Analysis of critical features and evaluation of BIM software: towards a plug-in for construction waste minimization using big data

, , , , , , & show all
Pages 211-228 | Received 07 Jun 2015, Accepted 02 Nov 2015, Published online: 21 Jan 2016

References

  • M. Osmani, J. Glass and A. Price, Architect and contractor attitudes to waste minimization, in Proceedings of the Institution of. Civil Engineers: Waste and Resource Managament, London, UK, 2006.
  • O.O. Faniran and G. Caban, Minimizing waste on construction project sites, Eng. Constr. Archit. Manage. 5 (1998), pp. 182–188.
  • J. Wang, Z. Li, and V.W. Tam, Critical factors in effective construction waste minimization at the design stage: A Shenzhen case study, China, Resour. Conserv. Recycl. 82 (2014), pp. 1–7.
  • L.L. Ekanayake and G. Ofori, Building waste assesment score: design-based tool, Build. Environ. 39 (2004), pp. 851–861.
  • Z. Liu, M. Osmani, and P. Demian, The Potential Use of BIM to Aid Construction Waste Minimization, Sophia Antipolis, France, 2011.
  • L.L. Oyedele, M. Regan, M. Von, J. Ahmad, A. Ebohon, and A. Elnokaly, Reducing waste to landfill in the UK: Identifying impediments and critical solutions, World J. Sci. Technol. Sustainable Dev. 10 (2013), pp. 131–142.
  • A. Salman, K. Malik, and M. Tayyab, Building information modeling (BIM): Now and beyond, Australas. J. Constr. Econ. Build. 12 (2012), p. 15.
  • L. Shen and C. Dkh, Application of Building information modeling (BIM) and information technology (IT) for project collaboration, EPPM. (2011), pp. 20–29.
  • R. Takim, M. Harris, and A. Hadi, Building information modeling (BIM): A new paradigm for quality of life within architectural, engineering and construction (AEC) industry, Procedia – Soc. Behav. Sci. 101 (2013), pp. 23–32.
  • T. Cerovsek, A review and outlook for a ‘Building Information Model’ (BIM): A multi-standpoint framework for technological development, Adv. Eng. Informatics. 25 (2011), pp. 224–244.
  • A. Porwal and K.N. Hewage, Building information modeling-based analysis to minimize waste rate of structural reinforcement, J. Constr. Eng. Manage. 138 (2012), pp. 943–954.
  • J. Tah, W. Zhou, F. Abanda, and F. Cheung, Towards a Holistic Modelling Framework for Embodied Carbon and Waste in the Building Lifecycle, Tizani, 2010.
  • CabinetOffice, BIM Strategy, (2011). Available at https://connect.innovateuk.org/web/modernbuiltktn/articles/-/blogs/new-construction-strategy?ns_33_redirect=%252Fweb%252Fmodernbuiltktn%252Farticles. [Accessed 24 03 2014].
  • C. Mcgrath, Waste minimisation in practice, Resources, Conservation and Recycling 32(1) (2001), pp. 227–238.
  • WRAP, ‘Site Waste Management Plans’, 2008. [Online]. Available: http://www.wrap.org.uk/content/site-Waste-Management-Plans-1. [Accessed 20 November, 2014]
  • WRAP, Net Waste Tool. 2011. [Online]. Available: http://nwtool.wrap.org.uk/. [Accessed 27 October, 2014]
  • WRAP, Designing-out Waste Tool for Buildings. 2011. [Online]. Available: http://dowtb.wrap.org.uk/. [Accessed 17 November, 2014]
  • BRE, SMARTStart. 2011. [Online]. Available: http://www.smartwaste.co.uk/smartstart/about.jsp. [Accessed 3 December, 2014]
  • BRE, SMARTAudit. 2008. [Online]. Available: http://www.smartwaste.co.uk/smartaudit/about.jsp. [Accessed 29 November, 2014]
  • J. Cheng and L. Ma, A BIM-based system for demolition and renovation waste estimation and planning, Waste Manage. 33 (2013), pp. 1539–1551.
  • A. Keys and A. Baldwin, Designing to Encourage Waste Minimization in the Construction Industry, Department of Civil & Building Engineering, Loughborough University, Licestershire, 2010.
  • C. Eastman, P. Teicholz, R. Sacks, K. Liston, BIM Handbook:A Guide to Building Information Modeling for Owners, Managers, Designers, Engineers and Contractors, 2nd ed., John Wiley & Sons Inc, New York, NY, 2011.
  • R. Attar, E. Hailemariam, M. Glueck, A. Tessier, J. McCrae, and A. Khan, BIM-based building performance monitor, SimAUD. (2010), p. 32.
  • A. Motamedi and A. Hammad, Lifecycle management of facilities components using radio frequency identification and building information model, Next Generation Construction IT: Technology Foresight, Future Studies, Roadmapping, and Scenario Planning 14 (2009), pp. 238–262.
  • Revit, Revit, Autodesk (2014). Available at http://www.autodesk.co.uk/products/revit-family/overview. [Accessed 2014].
  • Bentley, MicroStation, Bentley Systems (2014). Available at http://www.bentley.com/en-GB/products/microstation/. [Accessed 15 July, 2014].
  • Graphisoft, ArchiCAD, Nemetschek (2014. Available at http://www.graphisoft.com/archicad/. [Accessed 10 July, 2014].
  • Nemetschek, Vectorworks, Nemetschek (2014). Available at http://www.nemetschek.com/en/home/the_company/brand_portfolio/vectorworks.html. [Accessed 11 July, 2014].
  • Gehry, Digital Project, Gehry Technologies (2014). Available at http://www.gehrytechnologies.com/en/products/. [Accessed 13 July, 2014].
  • B. Kourmpanis, A. Papadopoulos, K. Moustakas, M. Stylianou, K. Haralambous, and M. Loizidou, Preliminary study for the management of construction and demolition waste, Waste Manage. Res. 26 (2008), pp. 267–275.
  • Z. Wu, A.T. Yu, L. Shen, and G. Liu, Quantifying construction and demolition waste: An analytical review, Waste Manage. 34 (2014), pp. 1683–1692.
  • W. Lu and H. Yuan, Investigating waste reduction potential in the upstream, Renewable and Sustainable (2013), pp. 804–811.
  • M. Zamorano, C. Brebbia, A. Kungolos, V. Popov, and H. Itoh, Waste Management and the Environment, 4th ed., WIT Press, Granada, Spain, 2008.
  • J.W. Creswell, Qualitative Inquiry and Research Design: Choosing among Five Approaches, 3rd ed., Sage publications, USA, 2012.
  • V. Singh, N. Gu, and X. Wang, Technical features of BIM servers for collaboration on building and construction projects, in ICSU 2010: Proceedings of the First International Conference on Sustainable Urbanization, Hong Kong, 2010.
  • Z. Xu-dong and T. Jie, BIM based on intelligent parametric modeling technology, J. Chongqing Univ. (Natural Science Edition). 6 (2006), p. 27.
  • G. Lee, R. Sacks, and C.M. Eastman, Specifying parametric building object behavior (BOB) for a building information modeling system, Autom. constr. 15 (2006), pp. 758–776.
  • P.E.D. Love and L. Heng, Quantifying the causes and costs of rework in construction, Constr. Manage. Econ. 4 (2000), pp. 479–490.
  • D.A. Keim, F. Mansmann, and J. Thomas, Visual analytics: How much visualization and how much analytics? ACM SIGKDD Explor. Newsletter 11 (2010), pp. 5–8.
  • C. Panse, M. Sips, D.A. Keim, and S.C. North, Visualization of geo-spatial point sets via global shape transformation and local pixel placement, IEEE Transactions on Visualization and Computer Graphics 12 (2006), pp. 749–756.
  • A. Grilo and R. Jardim-Goncalves, Value proposition on interoperability of BIM and collaborative working environments, Autom. Constr. (2010), pp. 522–530.
  • T.E. El-Diraby, Domain ontology for construction knowledge, J. Constr. Eng. Manage. 139 (2012), pp. 768–784.
  • Q. He, L. Qian, Y. Duan, and Y. Li, Current situation and barriers of BIM implementation, J. Eng. Manage. (2012), pp. 12–16.
  • M. Ibrahim and R. Krawczyk, The Level of Knowledge of CAD Objects within the Building Information Model, in Association for Computer-Aided Design in Architecture, New York, 2003.
  • J. Shaohua, Z. Haiyan, and Z. Jian, Research on BIM-based construction domain text information management, J. Netw. 8 (2013), pp. 1455–1464.
  • B. Bossink and H. Brouwers, Construction waste: Quantification and source evaluation, J. Constr. Eng. Manage. 122 (1996), pp. 55–60.
  • H. Wiley, Waste Management Hierarchy‘, in Dictionary of Environmental Science and Technology (2000). Available at http://search.credoreference.com.ezproxy.uwe.ac.uk/content/entry/wileyenvsci/waste_management_hierarchy/0. [Accessed 06 September 2014].
  • RIBA, RIBA Plan of Work 2013, RIBA (2013). Available at http://www.architecture.com/RIBA/Professionalsupport/RIBAOutlinePlanofWork2013.aspx. [Accessed 21 07 2014].
  • S. Azhar, Building information modeling (BIM): Trends, benefits, risks, and challenges for the AEC industry, Leadership Manage. Eng. 11 (2011), pp. 241–252.
  • S. Ghemawat, H. Gobioff, and S. Leung, The Google file system, ACM SIGOPS Operating Systems Review 37 (2003), pp. 29–43.
  • J. Manyika, M. Chui, B. Brown, J. Bughin, R. Dobbs, C. Roxburgh, and A.H. Byers, Big data: The Next Frontier for Innovation, Competition, and Productivity, 2nd ed., McKinsey Global Institute, Washington, DC, 2011.
  • E. Siegel, Predictive Analytics: The Power to Predict who Will Click, Buy, Lie, Or Die, 1st ed., John Wiley & Sons, USA, 2013.
  • K.-H. Lee, Y.-J. Lee, H. Choi, Y.D. Chung, and B. Moon, Parallel data processing with MapReduce: A survey, ACM SIGMOD Record 40 (2012), pp. 11–20.
  • J. Thomas and K.A. Cook, A visual analytics agenda, Comput. Graphics and Appl. 26 (2006), pp. 10–13.
  • K.V. Nesbitt and S. Barrass, Finding trading patterns in stock market data, Comput. Graphics Appl. IEEE 24 (2004), pp. 45–55.
  • A. Lee, A. Girgensohn, and J. Zhang, Browsers to support awareness and social interaction, Comput. Graphics Appl. IEEE 24 (2004), pp. 66–75.
  • J. Thomas and P.C. Wong, Visual analytics, IEEE Comput. Graphics Appl. 24 (2004), pp. 20–21.
  • M.M. Mantei and T.J. Teorey, Cost/benefit analysis for incorporating human factors in the software lifecycle, Commun. ACM 31 (1998), pp. 428–439.
  • S.J. Wang, B. Middleton, L.A. Prosser, C.G. Bardon, C.D. Spurr, P.J. Carchidi, A.F. Kittler, R.C. Goldszer, D.G. Fairchild, and A.J. Sussman, A cost-benefit analysis of electronic medical records in primary care, Am. J. med. 114 (2003), pp. 397–403.
  • A. Halevy, Why your data won’t mix, Queue - Semi-struct. Data 3 (2005), pp. 50–58.
  • A.Y. Halevy, N. Ashish, D. Bitton, M. Carey, D. Draper, J. Pollock, A. Rosenthal, and V. Sikka, Enterprise Information Integration: Successes, Challenges and Controversies, in ACM SIGMOD International Conference on Management of Data, Baltimore, 2005.
  • H. Garcia-Molina, Y. Papakonstantinou, D. Quass, A. Rajaraman, Y. Sagiv, J. Ullman, V. Vassalos, and J. Widom, The TSIMMIS approach to mediation: Data models and languages, J. Intell. Inf. Syst. 8 (1997), pp. 117–132.
  • S. Chaudhuri and U. Dayal, An overview of data warehousing and OLAP technology, ACM Sigmod Record. 26 (1997), pp. 65–74.
  • D. Fatta, A. Papadopoulos, E. Avramikos, E. Sgourou, K. Moustakas, F. Kourmoussis, A. Mentzis, and M. Loizidou, Generation and management of construction and demolition waste in Greece—an existing challenge, Res. Conserv. Recycl. (2003), pp. 81–91.
  • J. Solís-Guzmán, M. Marrero, M. Montes-Delgado, and A. R.-d.-A., A Spanish model for quantification and management of construction waste, Waste Manage. 29 (2009), pp. 2542–2548.
  • I. Martínez Lage, F. Martínez Abella, C. Vázquez Herrero, and J. Luis Pérez Ordóñez, Estimation of the annual production and composition of C&D debris in Galicia (Spain), Waste manage.30 (2010), pp. 636–645.
  • J.Y. Wang, A. Touran, C. Christoforou, and H. Fadlalla, A systems analysis tool for construction and demolition wastes management, Waste manage. 24 (2004), pp. 989–997.
  • K. Cochran and T.G. Townsend, Estimating construction and demolition debris generation using a materials flow analysis approach, Waste Manage. 30 (2010), pp. 2247–2254.
  • M. Shepperd and G. Kadoda, Comparing software prediction techniques using simulation, IEEE Trans. Software Eng. 27 (2001), pp. 1014–1022.
  • C. Mair, G. Kadoda, M. Lefley, K. Phalp, C. Schofield, M. Shepperd, and S. Webster, An investigation of machine learning based prediction systems, J. Syst. Softw. 53(2000), pp. 23–29.
  • S.K. Card, J.D. Mackinlay, and B. Shneiderman, Readings in Information Visualization: Using Vision to Think, Morgan Kaufmann, San Francisco, 1999.
  • C. Chen, Information Visualization: Beyond the Horizon, Springer Science & Business, New York, 2006.
  • D.A. Keim, Visual exploration of large data sets, Commun. ACM 44 (2001), pp. 38–44.
  • D.A. Keim, F. Mansmann, J. Schneidewind, J. Thomas, and H. Ziegler, Visual analytics: Scope and challenges, Vol. 4404, Springer, Berlin Heidelberg, 2008, pp. 76–90.
  • R. Kosara, C.G. Healey, V. Interrante, D.H. Laidlaw, and C. Ware, Visualization viewpoints, IEEE Comput. Graphics Appl. 23 (2003), pp. 20–25.
  • S. Innes, Developing Tools for Designing Out Waste Pre-Site and On-Site, in Proceedings of Minimising Construction Waste Conference: Developing Resource Efficiency and Waste Minimization in Design and Construction, London, 2004.
  • G. Aranda-Mena, J. Crawford, A. Chevez, and T. Froese, Building information modelling demystified: does it make business sense to adopt BIM? Int. J. Managing Projects Bus. 2 (2009), pp. 419–434.
  • D.A. Keim, F. Mansmann, and J. Thomas, Visual analytics: How much visualization and how much analytics?, ACM SIGKDD Explor. Newsletter 11 (2010), pp. 5–8.
  • J. Dean and S. Ghemawat, MapReduce: Simplified data processing on large clusters, 51 (2008), pp. 107–113.
  • E. Hetzler and A. Turner, Analysis experiences using information visualization, IEEE Comput. Graph. Appl. 24 (2004), pp. 22–26.
  • S.T. Teoh, K. Ma, S.F. Wu, and T. Jankun-Kelly, Detecting flaws and intruders with visual data analysis, Comput. Graphics Appl. IEEE 24 (2004), pp. 27–35.
  • K. Franco, R. Jonathan, T. Joseph, D. David, and K. Esra, Early stage multi-level cost estimation for schematic BIM models, Autom. Constr. 27 (2012), pp. 67–77.
  • A. Halevy, A. Rajaraman and J. Ordille, Data integration: The teenage years, in Proceedings of the 32nd International Conference on Very Large Data Bases, Seoul, 2006.
  • J. Shi and Y. Xu, Estimation and forecasting of concrete debris amount in China, Res. Conserv. Recycl. 49, pp. 147–158.
  • A. Bruvoll and K. Ibenholt, Future waste generation forecasts on the basis of a macroeconomic model, Res. Conserv. Recycl. 19(1997), pp. 137–149.
  • K. Panos and D.I. Danai, Survey Regarding Control and Reduction of Construction Waste, 2012.
  • M. Last, Y. Klein, and A. Kandel, Knowledge discovery in time series databases, IEEE Trans. Syst. Man Cybern. Part B Cybern. 31 (2001), pp. 160–169.
  • A. Yezioro and E. Shaviv, Shading: A design tool for analyzing mutual shading between buildings, Sol. energy 52 (1994), pp. 27–37.
  • D. Folio, SkySpark‘, SkyFoundry (2014). Available at http://www.skyfoundry.com/skyspark/. [Accessed 09 September 2014].
  • F. Hakimpour and A. Geppert, Resolving Semantic Heterogeneity in Schema Integration, in Proceedings of the International Conference on Formal Ontology in Information Systems, New York, 2001.
  • C. Batini, M. Lenzerini, and S.B. Navathe, A comparative analysis of methodologies for database schema integration, ACM Comput. Surv. (CSUR) 18 (1986), pp. 323–364.
  • T.R. Gruber, Toward principles for the design of ontologies used for knowledge sharing, Int. J. Hum Comput Stud. 43 (1993), pp. 907–928.
  • J. Heflin, J. Hendler, and S. Luke, SHOE: A Knowledge Representation Language for Internet Applications, 1999.
  • D. Fensel, F. Van Harmelen, I. Horrocks, D.L. McGuinness, and P.F. Patel-Schneider, OIL: An ontology infrastructure for the semantic web, IEEE Intell. Syst. 16 (2001), pp. 38–45.
  • D.L. McGuinness, R. Fikes, J. Hendler, and L.A. Stein, DAML+ OIL: An ontology language for the Semantic Web, IEEE Intell. Syst. 17 (2002), pp. 72–80.
  • I. Horrocks, P.F. Patel-Schneider, and F. Van Harmelen, From SHIQ and RDF to OWL: The making of a web ontology language, Web semantics: Science, Services and Agents on the World Wide Web 1 (2003), pp. 7–26.
  • R.W. Group, ‘RDF - Resource Description Framework‘, 2004. [Online]. Available: http://www.w3.org/RDF/. [Accessed 15 May 2014].
  • C. David, C. Olivier, and B. Guillaume, A survey of RDF storage approaches, ARIMA J 15 (2012), pp. 11–35.
  • P. Cudre-Mauroux, I. Enchev, S. Fundatureanu, P. Groth, A. Haque, A. Harth, F.L. Keppmann, D. Miranker, J.F. Sequeda and M. Wylot, NoSQL databases for RDF: An empirical evaluation, The Semantic Web - ISWC 2013 (2013), pp. 310–325.
  • M. Stonebraker, SQL databases v. NoSQL databases, Communications of the ACM 53(4) (2010), pp. 10–11.
  • J. Pokorny, NoSQL databases: a step to database scalability in web environment, Intl J Web Info Syst 9(1) (2013), pp. 69–82.
  • N. Leavitt, Will NoSQL databases live up to their promise?, Computer, 43 (2010), pp. 12–14.
  • M. Buerli and C.P.S.L. Obispo, The Current State of Graph Databases, Graph Databases Survey (2012). Available at https://wiki.csc.calpoly.edu/csc560/raw-attachment/wiki/Buerli_Bibliography/Graph_Databases_Survey.pdf.
  • Oracle, Oracle NoSQL Database, 2010. [Online]. Available:http://www.oracle.com/uk/products/database/nosql/overview/index.html. [Accessed 15 May 2014].
  • Yahoo, Apache Cassandra, 2011. [Online]. Available: http://cassandra.apache.org/. [Accessed 17 May 2014].
  • Voldemort, Project Voldemort - A distributed database, 2009. [Online]. Available: http://www.project-voldemort.com/voldemort/. [Accessed 17 May 2014].
  • M. Inc., MongoDB - Agile and Scalable Document Base, 2010. [Online]. Available: http://www.mongodb.org/. [Accessed 15 May 2014].
  • N. Cawthon and A.M. Vande, The Effect of Aesthetic on the Usability of Data Visualization, in Proceedings of InfoViz (IV ‘07). IEEE Computer Society, Washington, DC, 2007.
  • B. Shneiderman, Extreme visualization: squeezing a billion records into a million pixels, in SIGMOD Proceedings, New York, 2008.
  • J. Wu, Y. Zhou, K. Aberer and K.Tan, Towards integrated and efficient scientific sensor data processing: A database approach, in EDBT Proceedings, New York, 2009.
  • X.Bai, D.White and D.Sundaram, Visual intelligence density: definition, measurement, and implementation, in CHINZ ‘09, New York, 2009.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.