Books and Journal papers

iLab team won the Bronze Medal from the 48th International Exhibition of Inventions Geneva in 2023

iLab teams won Honorable Mention of BIM Automation Arena 2023 (The 1st Competition and Showcase on BIM x Programming for BIM Enthusiasts (Hong Kong Station)), HKIBIM, Hong Kong.

2023

  1. Guo, H., Ye, M., and Lu, W.S.(2023). Integrating creating shared value into competitive strategies: Case studies of Chinese international construction companies. International Journal of Construction Management, Accepted.
  2. Su, P.Y., Lu, W.S., Chen, J.J., and Hong, S.B. (2023). Floor plan graph learning for generative design of residential buildings: A discrete denoising diffusion model. Building Research & Informationhttps://doi.org/10.1080/09613218.2023.2288097.
  3. Fu, Y.L., Chen, J.J., and Lu, W.S.(2023). Human-robot collaboration for modular construction manufacturing: Review of academic research. Automation in Constructionhttps://doi.org/10.1016/j.autcon.2023.105196.
  4. Madushika, D. and Lu, W.S.(2023). Green retrofitting application in developing economies: State of the art and future research directions. Energy and Buildinghttps://doi.org/10.1016/j.enbuild.2023.113712.
  5. Lin, X., Chen, J.J., Lu, W.S., and Guo, H.L. (2023). An edge-weighted graph triumvirate to represent modular building layouts. Automation in Constructionhttps://doi.org/10.1016/j.autcon.2023.105140.
  6. Lu, W.S.(2023). Boosting construction waste material circularity: A sharing economy approach. In Charef, R. and Emmitt, S. (eds.) Circular Economy for the Built Environment. Accepted.
  7. Chen, J.J., Fu, Y.L., Lu, W.S., and Pan, Y.P. (2023). Augmented reality-enabled human-robot collaboration to balance construction waste sorting efficiency and occupational safety and health. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2023.119341.
  8. Wu, L., Lu, W.S., Chen, C. (2023). Resolving power imbalances in construction payment using blockchain smart contracts. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-03-2023-0194.
  9. Yuan, L., Lu, W.S., and Wu, Y.J. (2023). Characterizing the spatiotemporal evolution of building material stock in China’s Greater Bay Area: A statistical regression method. Journal of Industrial Ecology. Accepted.
  10. Ghansah, F. A. and Lu, W.S. (2023). Cyber-physical systems and digital twins for “cognitive building” in the construction industry. Construction Innovation. Accepted.
  11. Yang, Z.Z., Lu, W.S., and Kong, L.M. (2023). Identification of learning effects of modular construction manufacturing. Automation in Constructionhttps://doi.org/10.1016/j.autcon.2023.105010.
  12. Peng, Z., Lu, W.S., Hao, T., Tang, X., Huang, J.X., Webster, C. (2023). Cost-aware generative design for urban ‘cool spots’: A Random Forest-Principal Component Analysis-augmented combinatorial optimization approach. Building and Energyhttps://doi.org/10.1016/j.enbuild.2023.113317.
  13. Ababio, B. K., Lu, W.S., and Ghansah, F. A. (2023). Transitioning from green to circular procurement in developing countries: a conceptual framework for Ghana’s construction sector. Building Research & Informationhttps://doi.org/10.1080/09613218.2023.2229456
  14. Lu, W.S., Lou, J.F., and Wu, L. (2023). Combining smart construction objects (SCOs)-enabled blockchain oracles and signature techniques to ensure information authentication and integrity in construction. ASCE Journal of Computing in Civil Engineering. Accepted.
  15. Ghansah, F. A., Lu, W.S., and Ababio, B. K. (2023). Quality assurance of cross-border construction logistics and supply chain during the COVID-19 pandemic: Evidence from the Hong Kong–Mainland China links. International Journal of Logisticshttps://doi.org/10.1080/13675567.2023.2221180
  16. Zheng, L., Lu, W.S., and Zhou, Q.Y. (2023). Weather image-based short-term dense wind speed forecast with a ConvLSTM-LSTM deep learning model. Building and Environment. https://doi.org/10.1016/j.buildenv.2023.110446.
  17. Lu, W.S., Peng, Z., Webster, C., and Wu, L. (2023). Developing a construction waste material ‘passport’ for cross-jurisdictional trading. Journal of Cleaner Production. Accepted.
  18. Lu, W.S., Chen, J.J., Fu, Y.L., Pan, Y.P., and Ghansah, F. A. (2023). Digital twin-enabled human-robot collaborative teaming towards sustainable and healthy built environments. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.137412.
  19. Ghansah, F. A. and Lu, W.S. (2023). Responses to the COVID-19 pandemic in the construction industry: A literature review of academic research. Construction Management and Economics. https://doi.org/10.1080/01446193.2023.2205159.
  20. Xu, J.Y., Lou, J.F., Lu, W.S., Wu, L., and Chen, C. (2023). Ensuring construction material provenance using Internet of Things and blockchain: Learning from the food industry. Journal of Industrial Information Integration.
  21. Wu, L., Lu, W.S., and Chen, C. (2023). Strengths and weaknesses of client-server and peer-to-peer network models in construction projects. International Journal of Construction Management. https://doi.org/10.1080/15623599.2023.2185950.
  22. Lu, W.S., Long, W.Y., and Yuan, L. (2023). A machine learning regression approach for pre-renovation construction waste auditing. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.136596.
  23. Bao, Z.K., Lu, W.S., Peng, Z., and Ng, S.T. (2023). Balancing economic development and construction waste management in emerging economies: A longitudinal case study of Shenzhen, China guided by the environmental Kuznets curve. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2023.136547.
  24. Wu, L., Lu, W.S., Peng, Z., and Webster, C. (2023). A blockchain non-fungible token-enabled ‘passport’ for construction waste material cross-jurisdictional trading. Automation in Construction. https://doi.org/10.1016/j.autcon.2023.104783.
  25. Peng, Z., Lu, W.S., and Webster, C. (2023). Identifying the impacts of trading construction waste across jurisdictions: A simulation of the Greater Bay Area, China using non-linear optimization. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-023-25516-5.
  26. Ghansah, F. A. and Lu, W.S. (2023). Major opportunities of digital twins for smart buildings: A scientometric and content analysis. Smart and Sustainable Built Environment. https://doi.org/10.1108/SASBE-09-2022-0192.
  27. Zhao, R., Chen, Z., & Xue, F. (2023). A blockchain 3.0 paradigm for digital twins in construction project management. Automation in Construction, 145, 104645. https://doi.org/10.1016/j.autcon.2022.104645
  28. Chen, S. H., & Xue, F. (2023). Automatic BIM detailing using deep features of 3D views. Automation in Construction, 148, 104780. https://doi.org/10.1016/j.autcon.2023.104780
  29. Li, M., Xue, F., & Yeh, A. G. (2023). Bi-objective analytics of 3D visual-physical nature exposures in high-rise high-density cities for landscape and urban planning. Landscape and Urban Planning, 233, 104714. https://doi.org/10.1016/j.landurbplan.2023.104714
  30. Liang, D., & Xue, F. (2023). Integrating automated machine learning and interpretability analysis in architecture, engineering and construction industry: A case of identifying failure modes of reinforced concrete shear walls. Computers in Industry, 147, 103883. https://doi.org/10.1016/j.compind.2023.103883
  31. Yuan, L., Lu, W., Xue, F., & Li, M. (2023). Building feature‐based machine learning regression to quantify urban material stocks: A Hong Kong study. Journal of Industrial Ecology, 27(1), 336-349. https://doi.org/10.1016/j.compind.2023.103883
  32. Hu, D., Chen, J., & Li, S. (2022). Reconstructing unseen spaces in collapsed structures for search and rescue via deep learning based radargram inversion. Automation in Construction, 140, 104380.
  33. Chen, J., & Liu, D. (2023). Using computer vision to monitor ice condition in water supply infrastructure: A study of salient image features. Journal of Hydroinformatics, manuscript accepted.
  34. Liu, D., Sun, C., Chen, J., & Liu, L. (2023). Multisensory and BIM-Integrated Digital Twin to Improve Urban Excavation Safety. Journal of Computing in Civil Engineering, manuscript accepted.

2022

  1. Lu, W.S., Wu, L., Xu, J.Y., and Lou, J.F. (2022). Construction e-inspection 2.0 in the COVID-19 pandemic era: A blockchain-based technical solution. ASCE Journal of Management in Engineering. Accepted.
  2. Lu, W.S., Yuan, L., and Lee, W.M.W (2022). Understanding loading patterns of construction waste hauling trucks: Triangulation between big quantitative and informative qualitative data. Environmental Science and Pollution Research. https://doi.org/10.1007/s11356-022-19387-5.
  3. Lu, W.S. and Chen, J.J. (2022). Computer vision for solid waste segregation: A critical review of academic research. Waste Management. https://doi.org/10.1016/j.wasman.2022.02.009.
  4. Lou, J.F., Lu, W.S., Xu, J.Y., Li, X., and Wang, J. (2022). Nomenclature for offsite construction. Building Research and Information. https://doi.org/10.1080/09613218.2022.2039586.
  5. Wei, X.X., Ye, M., Yuan, L., Bi, W., and Lu, W.S. (2022). Analyzing the freight characteristics and carbon emission of construction waste hauling trucks: Big data analytics of Hong Kong. International Journal of Environmental Research and Public Health. https://doi.org/10.3390/ijerph19042318.
  6. Guo, H. and Lu, W.S., (2022). Measuring competitiveness with data-driven principal component analysis: A case study of Chinese international construction companies. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-04-2020-0262.
  7. Lu, W.S. and Anumba, C. (2022). Research Companion to Building Information Modeling. Edward Elgar. ISBN: 978-1-83910-551-7. https://dx.doi.org/10.4337/9781839105524.​
  8. Lu, W.S. and Anumba, C. (2022). Introduction to the Research Companion to Building Information Modeling. In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.1-10). Edward Elgar.
  9. Wang, J. and Lu, W.S. (2022). Building information modeling adoption and localization. In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.102-123). Edward Elgar.
  10. Xu, J.Y., Lu, W.S., and Li, X. (2022). Building information modeling, smart construction objects, and pervasive technologies integration.  In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.294-312). Edward Elgar.
  11. Laovisutthichai, V., Lu, W.S., and Bao, Z.K. (2022). Building information modeling-enabled design for construction waste minimization. In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.550-571). Edward Elgar.
  12. Charef, R. and Lu, W.S., (2022). Circular economy and building information modeling. In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.572-592). Edward Elgar.
  13. Anumba, C. and Lu, W.S. (2022). Conclusion to the Research Companion to Building Information Modeling. In Lu, W.S. and Anumba, C. (Eds). Research Companion to Building Information Modeling (pp.717-719). Edward Elgar.
  14. Lu, W.S. and Ye, M. (2022). The global construction market. In Ofori, G. (Eds.), Research Companion to Construction Economics (pp. 445-465). Edward Elgar. ISBN: 978-1-83910-822-8.
  15. Lu, W.S. and Xu, J.Y. (2022). Big data analytics and project organising. In Winch, G., Brunet, M., and Cao, D.P. (Eds.), Research Handbook on Complex Project Organizing. Edward Elgar. Accepted.
  16. Qi, Z., Liu, D., Zhang, J., & Chen, J. (2022). Micro-concrete crack detection of underwater structures based on convolutional neural network. Machine Vision and Applications, 33 (5), 74.
  17. Chen, S., Bao, Z., Chen, J., Yang, L., & Lou, V. (2022). Sustainable built environment for facilitating public health of older adults: Evidence from Hong Kong. Sustainable Development, published online.

2021

  1. Wu, L., Lu, W.S., Zhao, R., Xu, J.Y., Li, X., and Xue, F. (2021). Using blockchain to improve information sharing accuracy in the onsite assembly of modular construction. ASCE Journal of Management in Engineering. https://doi.org/10.1061/(ASCE)ME.1943-5479.0001029.
  2. Dong, Z.M., Chen, J.J., and Lu, W.S. (2021). Computer vision to recognize construction waste compositions: A novel boundary-aware Transformer (BAT) model. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2021.114405.
  3. Wu, L., Lu, W.S., and Xu, J.Y. (2021). Blockchain-based smart contract for smart payment in construction: A focus on the payment freezing and disbursement cycle. Frontiers of Engineering Management. https://doi.org/10.1007/s42524-021-0184-y.
  4. Xu, J.Y., Lu, W.S., Papadonikolaki, E. (2021). Human-Organization-Technology (HOT) fit model for BIM adoption in construction project organizations: Impact factor analysis using social network analysis and comparative case study. ASCE Journal of Management in Engineering. https://10.1061/(ASCE)ME.1943-5479.0001013.
  5. Lu, W.S., Wu, L., and Xue, F. (2021). Blockchain technology for projects: A multi-criteria decision matrix. Project Management Journal. https://doi.org/10.1177/87569728211061780.
  6. Chen, J.J., Li, S., and Lu, W.S. (2021). Align to locate: Registering photogrammetric point clouds to BIM for robust indoor localization. Building and Environment. https://doi.org/10.1016/j.buildenv.2021.108675.
  7. Li, X., Wu, C.K., Xue, F., Yang, Z., Lou, J.F., and Lu, W.S. (2021). Ontology-based mapping model for automatic work packaging in modular construction. Automation in Construction. https://doi.org/10.1016/j.autcon.2021.104083.
  8. Bi, W., Lu, W.S., Zhao, Z., and Webster, C. (2021). Combinatorial optimization of construction waste collection and transportation: A case study of Hong Kong. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2021.106043.
  9. Wu, L., Lu, W.S., Xue, F., Li, X., Zhao, R. and Tang, M.H. (2021). Linking permissioned blockchain to Internet-of-Things (IoT) -BIM platform for off-site production management in modular construction. Computers in Industry. https://doi.org/10.1016/j.compind.2021.103573.
  10. Lu, W.S., Chen, J.J., and Xue, F. (2021). Using computer vision to recognize the composition of construction waste mixtures: A semantic segmentation approach. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2021.106022.
  11. Chen, J.J., Lu, W.S., Yuan, L., Wu, Y.J., and Xue, F. (2021). Estimating construction waste truck payload volume using monocular vision. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2021.106013.
  12. Laovisutthichai, V., and Lu, W.S. (2021). Architectural design for manufacturing and assembly for sustainability. In: Lau S.S.Y., Li J., Hao S., Lu S. (eds) Design and Technological Applications in Sustainable Architecture. Strategies for Sustainability. Springer, Cham. https://doi.org/10.1007/978-3-030-80034-5_15.
  13. Li, X., Lu, W.S., Xue, F., Wu, L., Zhao, R., Lou, J.F., and Xu, J.Y. (2021). Blockchain-enabled IoT-BIM platform for supply chain management in modular construction. ASCE Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002229.
  14. Ye, M., Lu, W.S., and Xue, F. (2021). Impact of institutional distance on environmental and social practices in host countries: Evidence from international construction companies. ASCE Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0002226.
  15. Lu, W.S., Wu, L., and Zhao, R. (2021). Rebuilding trust in the construction industry: A blockchain-based deployment framework. International Journal of Construction Management, https://doi.org/10.1080/15623599.2021.1974683.
  16. Xue, F., Li, X., Lu, W.S., Webster, C., Che, Z., and Lin, L. (2021). Big data-driven pedestrian analytics: Unsupervised clustering and relational query based on Tencent Street View photographs. ISPRS International Journal of Geo-Information, https://doi.org/10.3390/ijgi10080561.
  17. Charef, R. and Lu, W.S. (2021). Factor dynamics to facilitate circular economy adoption in construction. Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2021.128639.
  18. Bao, Z.K., Laovisutthichai, V., Tan, T., Wang, Q., and Lu, W.S. (2021). Design for manufacture and assembly (DfMA) enablers for offsite interior design and construction. Building Research & Information, https://doi.org/10.1080/09613218.2021.1966734.
  19. Lu, W.S., Li, X., Xue, F., Zhao, R., Wu, L., and Yeh, A.G.O. (2021). Exploring Smart Construction Objects (SCOs) as blockchain oracles in construction supply chain management. Automation in Construction. https://doi.org/10.1016/j.autcon.2021.103816.
  20. Yang, Z.Z., Xue, F., and Lu, W.S. (2021). Handling missing data for construction waste management: machine learning based on aggregated waste generation behaviors. Resources, Conservation & Recycling, https://doi.org/10.1016/j.resconrec.2021.105809.
  21. Peng, Z.Y., Lu, W.S., and Webster, C. (2021). Quantifying the embodied carbon saving potential of recycling construction and demolition waste in the Greater Bay Area, China: Status quo and future scenarios. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2021.148427.
  22. Lu, W.S., Lou, J.F., Webster, C., Xue, F., Bao, Z.K., and Chi, B. (2021). Estimating construction waste generation in the Greater Bay Area, China using machine learning. Waste Management, https://doi.org/10.1016/j.wasman.2021.08.012.
  23. Ye, M., Wang, H.D., and Lu, W.S. (2021). Opening the “black box” between corporate social responsibility and financial performance: from a critical review to an integrated framework of moderators and mediators. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.127919.
  24. Bao, Z.K., Lu, W.S., and Hao, J.L. (2021). Tackling the “last mile” problem in renovation waste management: A case study in China. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2021.148261.
  25. Lu, W.S., Wu, L., Zhao, R., Li, X., and Xue, F. (2021). Blockchain technology for governmental supervision of construction work: Learning from digital currency electronic payment systems. ASCE Journal of Construction Engineering and Management. https://doi.org/(ASCE)CO.1943-7862.0002148.
  26. Yuan, L., Lu, W.S., and Xue, F. (2021). Estimation of construction waste composition based on bulk density: A big data-probability (BD-P) model. Journal of Environmental Management. https://doi.org/10.1016/j.jenvman.2021.112822.
  27. Bao, Z.K. and Lu, W.S. (2021). A decision-support framework for planning construction waste recycling: A case study of Shenzhen, China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.127449.
  28. Lu, W.S., Lee, W.M.W., Xue, F., and Xu, J.Y. (2021). Revisiting the effects of prefabrication on construction waste minimisation: a quantitative study using bigger data. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2021.105579.
  29. Chen, J.J., Li, S., Liu, D.H., and Lu, W.S. (2021). Indoor camera pose estimation via style-transfer 3D models. Computer-Aided Civil and Infrastructure Engineering. https://doi.org/10.1111/mice.12714.
  30. Huang, C., Li, W., Lu, W.S., Xue, F., Liu, M., and Liu, Z. (2021). Optimisation of multiple-crane service schedules in overlapping areas through consideration of transportation efficiency and operational safety. Automation in Construction, https://doi.org/10.1016/j.autcon.2021.103716.
  31. Li, X., Chi, H.L., Lu, W.S., Xue, F., Zeng, J., and Li, Z.D. (2021). Federated transfer learning-enabled smart work packaging for preserving personal image information of construction worker. Automation in Construction. https://doi.org/10.1016/j.autcon.2021.103738.
  32. Li, X., Wu, L., Zhao, R., Lu, W.S., and Xue, F. (2021). Two-layer adaptive blockchain-based supervision model for off-site modular housing production. Computers in Industry. https://10.1016/j.compind.2021.103437.
  33. Chen, J.J., Lu, W.S., and Xue, F. (2021). “Looking beneath the surface”: A visual-physical feature hybrid approach for unattended gauging of construction waste composition. Journal of Environmental Management. https://10.0.3.248/j.jenvman.2021.112233.
  34. Wang, J. and Lu, W.S. (2021). A deployment framework for BIM localization. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-09-2020-0747.
  35. Guo, H. and Lu, W.S. (2021). The inverse U-shaped relationship between corporate social responsibility and competitiveness: evidence from Chinese international construction companies. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2021.126374.
  36. Lu, W.S., Yuan, L., and Xue, F. (2021). Investigating the bulk density of construction waste: A big data-driven approach. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2021.105480.
  37. Chen, J., & Liu D. (2021). Detecting, extracting and classifying foreign objects in inter-basin channels to ensure water supply safety. Journal of Hydroinformatics, jh20211118.
  38. Chen, J., Liu, D., & Li, X. (2021). Extracting Water Channels from Aerial Videos based on Image-to-BIM Registration and Spatio-Temporal Continuity. Automation in Construction, 132, 103970.
  39. Liu, D., Xia, X., Chen, J. *, & Li, S. (2021). Integrating building information model and augmented reality for drone-based building inspection. Journal of Computing in Civil Engineering, 35(2), 04020073.
  40.  Liu, D., Wang, Y., Chen, J., & Liang, J. (2021). Roller-integrated compaction assessment of earth-rock dam materials considering operation modes. Geotechnical Testing Journal, 44 (6), 20200126.(RCR Best Paper Award 2021, https://www.journals.elsevier.com/resources-conservation-and-recycling/news/resources-conservation-recycling-2021-best-paper-awards)
New Book: Research Companion of BIM (Edward Elgar), Edited by Prof. Wilson Lu and Chimay Anumba

Resources, Conservation & Recycling 2021 Best Paper Awards

the buildingSMART International Awards 2021

2020

  1. Xue, F., Wu, L., and Lu, W.S. (2020). Semantic enrichment of building and city information models: a ten-year review. Advanced Engineering Informatics. https://doi.org/10.1016/j.aei.2020.101245.
  2. Laovisutthichai, V., Lu, W.S., and Bao, Z.K. (2020). Design for construction waste minimization: guidelines and practice. Architectural Engineering and Design Management. https://doi.org/10.1080/17452007.2020.1862043.
  3. Lu, W.S., Bao, Z.K., Lee, W.M.W., Chi, B. and Wang, J.Y. (2020). An analytical framework of “zero waste construction site”: Two case studies of Shenzhen, China. Waste Management. https://doi.org/10.1016/j.wasman.2020.12.029.
  4. Xu, J.Y., Ye, M., Lu, W.S., Bao, Z.K., and Webster, C. (2020). A four-quadrant conceptual framework for analyzing extended producer responsibility in offshore prefabrication construction. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.124540.
  5. Xue, F., Lu, W.S., Chen, Z., and Webster, C. (2020). From LiDAR point cloud towards digital twin city: Clustering city objects based on Gestalt principles. ISPRS Journal of Photogrammetry and Remote Sensing. https://doi.org/10.1016/j.isprsjprs.2020.07.020.
    (2020 Featured Article by this journal. See https://www.journals.elsevier.com/isprs-journal-of-photogrammetry-and-remote-sensing/featured-articles/2020-featured-articles)
  6. Bao, Z.K., Lee, W.M.W., and Lu, W.S. (2020). Implementing on-site construction waste recycling in Hong Kong: Barriers and facilitators. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.141091.
  7. Lu, W.S., Lee, W.M.W., Bao, Z.K., Chi, B., and Webster, C. (2020). Cross-jurisdictional construction waste material trading: Learning from the smart grid. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.123352.
  8. Xue, F. and Lu, W.S. (2020). A semantic differential transaction approach to minimizing information redundancy for BIM and blockchain integration. Automation in Construction. https://doi.org/10.1016/j.autcon.2020.103270.
    (Based on the paper, we prepared an entry and won the buildingSMART International [bSI] Awards 2021 [the sole winner in the “Professional Research” category]. For more, please see https://www.buildingsmart.org/awards/bsi-awards-2021/winners-2021/)
  9. Lu, W.S., Tan, T., Xu, J.Y., Wang, J., Chen, K., Gao, S., and Xue, F. (2020). Design for Manufacture and Assembly (DfMA) in construction: the old and the new. Architectural Engineering and Design Management. https://doi.org/10.1080/17452007.2020.1768505.
  10. Bao, Z.K. and Lu, W.S. (2020). Developing efficient circularity for construction and demolition waste management in fast emerging economies: Lessons learned from Shenzhen, China. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.138264.
  11. Maués, L.M.F., Nascimento, B.D.M.O.D., Lu, W.S., and Xue, F. (2020). Estimating construction waste generation in residential buildings: a fuzzy set theory approach in the Brazilian Amazon. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.121779.
  12. Bao, Z.K., Lu, W.S., Chi, B, and Hao, J.L. (2020). Construction waste management performance in green building: Contextualising LEED in China. Detritus. https://doi.org/10.31025/2611-4135/2020.13992.
  13. Xu, J.Y., Lu, W.S., Ye, M., Webster, C., and Xue, F. (2020). Anatomy of waste generation flows in construction projects using passive bigger data. Waste Management. https://doi.org/10.1016/j.wasman.2020.03.024.
  14. Hao, J.L., Cheng, B., Lu, W.S., Xu, J., Wang, J., Bu, W., and Guo, Z (2020). Carbon emission reduction in prefabrication construction: A BIM-based life-cycle assessment approach. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2020.137870.
  15. Tan, T., Lu, W.S., Tan, G.Y., Xue, F., Chen, K, Xu, J.Y., Wang, J., and Gao, S. (2020). Construction-oriented design for manufacture and assembly (DfMA) guidelines. ASCE Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001877.
  16. Xu, J.Y., Lu, W.S., Anumba, C.J., and Niu, Y.H. (2020). From Smart Construction Objects to cognitive facility management. In Anumba and Roofigari (ed.), Cyber-Physical Systems in the Built Environment. Springer.
  17. Chen, K., Lu, W.S., and Wang, J. (2020). Academia-industry collaboration for BIM education: lessons learned from a case study. Industry and Higher Education. https://doi.org/10.1177/0950422220908799.
  18. Lu, W.S., Xu, J.Y., and Sönderland, J. (2020). Exploring the effects of building information modeling (BIM) on projects: A longitudinal social network analysis. ASCE Journal of Construction Engineering and Management. https://orcid.org/0000-0001-9589-6396.
  19. Chi, B., Lu, W.S., Ye, M., Bao, Z.K., and Zhang, X.L. (2020). Construction waste minimization in green building: A comparative analysis of LEED-NC 2009 certified projects in the US and China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2020.120749.
  20. Xu, J.Y., Lu, W.S., Ye, M., Xue, F., Zhang, X.L., and Lee, B.F.P. (2020). Is the private sector more efficient? Big data analytics of construction waste management sectoral efficiency. Resources, Conservation & Recycling. https://doi.org/10.1016/j.resconrec.2019.104674.
  21. Illankoon, I.M.C.S. and Lu, W.S. (2020). Cost implications of obtaining construction waste management-related credits in green building. Waste Management. https://doi.org/10.1016/j.wasman.2019.11.024.

Lu et al. (2019). BIM and Big Data for Construction Cost Management. Routledge.

Dr Xue Fan et al. won the Faculty Research Output Award 2019
Example blockchain architecture for BIM change contract

(Source: Xue and Lu (2020). A semantic differential transaction approach to minimizing information redundancy for BIM and blockchain integration. Automation in Construction.)

Benchmarking waste generation in different types of construction works

(Source: Lu et al. (2015). Benchmarking construction waste management performance using big data. Resources, Conservation and Recycling.)

2019

  1. Lai, W.C.L., Chau, K. W., Lorne, F.T., and Lu, W.S. (2019). Experimental coastal land reclamation: Qianhai as a case interpreted. Planning Practice & Researchhttps://doi.org/10.1080/02697459.2019.1700599.
  2. Lu, W.S., Lai, C.C., and Tse, T. (2019). BIM and Big Data for Construction Cost Management. Routledge, ISBN: 978-0-8153-9094-7.
  3. Ye, M., Lu, W.S., Flanagan, R., and Chau, K.W. (2019). Corporate social responsibility ‘glocalisation’: evidence from the international construction business. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.1831.
  4. Zhai, Y., Chen, K., Zhou, X., Cao, J., Lyu, Z., Jin, X., Shen, G., Lu, W.S., and Huang, G.Q. (2019). An Internet of Things-enabled BIM platform for modular integrated construction: A case study in Hong Kong. Advanced Engineering Informatics. 42 (10), 100997. https://doi.org/10.1016/j.aei.2019.100997.
  5. Yu, B., Wang, J.Y., Li, J., Lu, W.S., Li, Z.D., and Xu, X.X. (2019). Quantifying the potential of recycling demolition waste generated from urban renewal: A case study in Shenzhen, China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2019.119127.
  6. Liang, X.N., Lu, W.S., and Wu, Z.Z. (2019). Effects of collaboration networks on technology innovation in solar photovoltaic (PV) sector: A case study of China. Journal of Green Buildinghttps://doi.org/10.3992/jgb.15.3.139.
  7. Gao, S., Jin, R.Y., and Lu, W.S. (2019). Design for manufacture and assembly in construction: a review. Building Research & Informationhttps://doi.org/10.1080/09613218.2019.1660608
  8. Xu, J.Y., Chen, K., Zetkulic, A., Xue, F., Niu, Y.H., and Lu, W.S.(2019). Pervasive sensing technologies for facility management: A critical review. Facilities. 38(1/2), 161-180. https://doi.org/10.1108/F-02-2019-0024
  9. Xu, J.Y., Lu, W.S., Xue, F., and Chen, K (2019). ‘Cognitive facility management’: Definition, system architecture, and example scenario. Automation in Construction. https://doi.org/10.1016/j.autcon.2019.102922.
  10. Xue, F., Lu, W.S., Chen, K., and Webster, C. (2019). BIM reconstruction from 3D point clouds: A semantic registration approach based on multimodal optimisation and architectural design knowledge. Advanced Engineering Informatics. 42 (10), 100965. https://doi.org/10.1016/j.aei.2019.100965.
  11. Chen, K. and Lu, W.S. (2019). Bridging BIM and building (BBB) for information management in construction: The underlying mechanism and implementation. Engineering, Construction and Architectural Managementhttps://doi.org/10.1108/ECAM-05-2018-0206.
  12. Tan, T., Chen, K., Xue, F., and Lu, W.S. (2019). Barriers to Building Information Modeling (BIM) implementation in China’s prefabricated construction: An interpretive structural modeling (ISM) approach. Journal of Cleaner Productionhttps://10.1016/j.jclepro.2019.02.141.
  13. Niu, Y., Lu, W.S., Xue, F., Liu, D.D., Chen, K., Fang, D.P., and Anumba, C. (2019). Towards the “Third Wave”: An SCO-enabled occupational health and safety management system for construction. Safety Sciencehttps://doi.org/10.1016/j.ssci.2018.07.013.
  14. Xue, F., Lu, W.S., Webster, C., and Chen, K. (2019). A derivative-free optimization-based approach for detecting architectural symmetries from 3D point clouds. ISPRS Journal of Photogrammetry and Remote Sensing, 148, 32-40. https://doi.org/10.1016/j.isprsjprs.2018.12.005.
    (Research Output Prize 2018/19, The University of Hong Kong. http://www.rss.hku.hk/honours-awards/internal-awards/rop-winners/2018-19)
  15. Xue, F., Lu, W.S., Chen, K., and Zetkulic, A. (2019). From ‘semantic segmentation’ to ‘semantic registration’: A derivative-free optimization-based approach for automatic generation of semantically rich as-built building information models (BIMs) from 3D point clouds. ASCE Journal of Computing in Civil Engineering. 2019, 33(4), https://doi.org/10.1061/(ASCE)CP.1943-5487.0000839.
  16. Bao, Z.K., Lu, W.S., Chi, B., Yuan, H.P., and Hao, J.L. (2019). Procurement innovation for a circular economy of construction and demolition waste: lessons learned from Suzhou, China. Waste Management. https://doi.org/10.1016/j.wasman.2019.08.031.
  17. Illankoon, I.M.C.S. and Lu, W.S. (2019). Optimising choices of ‘building services’ for green building: interdependence and life cycle costing. Building and Environment, 161(8), https://doi.org/10.1016/j.buildenv.2019.106247.
  18. Lu, W.S., Chi, B., Bao, Z.K., and Zetkulic, A. (2019). Evaluating the effects of green building on construction waste management: A comparative study of three green building rating systems. Building and Environment, 155(5), 247-256. https://doi.org/10.1016/j.buildenv.2019.03.050.
  19. Hao, J.L., Yuan, H.P., Liu, J., Chan, C.S., and Lu, W.S. (2019). A model for assessing the economic performance of construction waste reduction. Journal of Cleaner Production. 232(2019), 427-440. https://doi.org/10.1016/j.jclepro.2019.05.348.
  20. Lu, W.S. (2019). Big data analytics to identify illegal construction waste dumping: A Hong Kong study. Resources, Conservation & Recycling. 141, 264-272. https://doi.org/10.1016/j.resconrec.2018.10.039.
2018

  1. Zhang, R., Xing, J., Ye, K., Lu, W.S., and Shan, Y.W. (2018). Synchronicity of global construction cost indexes. Engineering, Construction and Architectural Management. https://doi.org/10.1108/ECAM-02-2018-0045.
  2. Lu, W.S., Chen, K., Xue, F., and Pan, W. (2018). Searching for an optimal level of prefabrication in construction: An analytical framework. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2018.07.319.
  3. Niu, Y., Anumba, C., and Lu, W.S.(2018). Taxonomy and deployment framework for emerging pervasive technologies in construction projects. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001653.
  4. Lu, W.S., Chen, K., Zetkulic, A., and Liang, C. (2018). Measuring building information modelling (BIM) maturity: A Hong Kong case study. International Journal of Construction Managementhttps://doi.org/10.1080/15623599.2018.1532385.
  5. Chen, K. and Lu, W.S.(2018). Design for Manufacture and Assembly (DfMA) oriented approach to a curtain wall system: A case study of a commercial building in Wuhan, China. Sustainabilityhttps://doi.org/10.3390/su10072211.
  6. Lu, W.S.(2018). Smart construction objects (SCOs): An alternative way to smart construction. Building Journalhttp://www.building.hk/pdf/180608BJHK_Forum.pdf.
  7. Xue, F., Chen, K., Lu, W.S., Niu, Y., and Huang, G.Q. (2018). Linking radio-frequency identification to BIM: Status quo, development trajectory and guidelines for practitioners. Automation in Constructionhttps://doi.org/10.1016/j.autcon.2018.05.023.
  8. Chen, K., Lu, W.S., Xue, F., Tang, P.B., and Li, L.H. (2018). Automatic BIM reconstruction in high-density urban areas: Augmenting multi-source data with architectural knowledge. https://doi.org/10.1016/j.autcon.2018.05.009.
  9. Xue, F., Lu, W.S., and Chen, K. (2018). Automatic generation of semantically rich as-built BIM using 2D images: A derivative-free optimization approach. Computer-Aided Civil and Infrastructure Engineeringhttp://doi.org/10.1111/mice.12378.
  10. Zheng, L., Chen, K., and Lu, W.S. (2018). Bibliometric analysis of the construction education research from 1982 to 2017. Journal of Professional Issues in Engineering Education and Practicehttps://doi.org/10.1061/(ASCE)EI.1943-5541.0000412.
  11. Wu, Y., Chau, K.W., Lu, W.S., Shen, L.Y., Shuai, C. and Chen J. (2018). Decoupling relationship between economic output and carbon emission in the Chinese construction industry. Environmental Impact Assessment Review. https://doi.org/10.1016/j.eiar.2018.04.001.
  12. Shen, L.Y., Wu, Y., Shuai, C.Y., Lu, W.S., Chau, K.W., and Chen, X. (2018). Analysis on the evolution of low carbon city from process characteristic perspective. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2018.03.190.
  13. Liu, D.D., Lu, W.S., and Niu, Y.H. (2018). Extended Technology-Acceptance Model (TAM) to make smart construction systems successful. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001487.
  14. Lu, W.S., Ye, M., Chau, K.W., and Flanagan, R. (2018). The paradoxical nexus between corporate social responsibility and sustainable financial performance: evidence from the international construction business. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.1501.
  15. Wang, H.D. Lu, W.S., Sönderland, J., and Chen, K. (2018). The interplay between formal and informal institutions in projects: A social network analysis. Project Management Journalhttps://doi.org/10.1177/8756972818781629.
  16. Wang, H.D., Zhang, X.L., and Lu, W.S. (2018). Improving social sustainability in construction: a conceptual framework based on social network analysis. ASCE Journal of Management in Engineeringhttps://doi.org/10.1061/(ASCE)ME.1943-5479.0000607.
  17. Lu, W.S., Webster, C., Peng, Y., Chen, X., Chen, K. (2018). Big data in construction waste management: Prospects and challenges. Detritus. https://doi.org/10.31025/2611-4135/2018.13737.
  18. Xu, J.Y., Lu, W.S., Xue, F., Chen, K., Ye, M., Wang, J., and Chen, X. (2018). Cross-boundary collaboration in waste management research: a network analysis. Environmental Impact Assessment Reviewhttps://doi.org/10.1016/j.eiar.2018.08.005.
  19. Zhang, Y.Z., Lu, W.S., Tam, W. Y. V., and Feng, Y.B. (2018). From urban metabolism to industrial ecosystem metabolism: A study of construction in Shanghai from 2004 to 2014. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2018.08.054.
  20. Lu, W.S., Chen, X., Peng, Y., and Liu, X.J. (2018). The effects of green building on construction waste minimization: triangulating ‘big data’ with ‘thick data’. Waste Managementhttps://doi.org/10.1016/j.wasman.2018.07.030.
  21. Chen, X., Lu, W.S., Xue, F., and Xu, J.Y. (2018). A cost-benefit analysis of green buildings with respect to construction waste minimization using big data in Hong Kong. Journal of Green Buildinghttps://doi.org/10.3992/1943-4618.13.4.61.
CRIOCM 2019 Chongqing Conference
Sai Ying Pun, Neighbourhood outside of HKU. Shot by Mr. Tan Tan, iLab Alumni, currently PhD candidate at UCL

Sai Ying Pun, Neighbourhood outside of HKU

2017

  1. Ye, M., Lu, W.S., Flanagan, R., and Ye, K.H. (2017). Diversification in the international construction business. Construction Management and Economicshttp://dx.doi.org/10.1080/01446193.2017.1388530.
  2. Chen, X. and Lu, W.S.(2017). Identifying factors influencing demolition waste generation in Hong Kong. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2016.09.164.
  3. Chen, K., Xu, G., Xue, F., Zhong, R. Y., Liu, D., and Lu, W.S. (2017). A physical Internet-enabled BIM system for prefabricated construction. International Journal of Computer Integrated Manufacturinghttps://doi.org/10.1080/0951192X.2017.1379095.
  4. Lu, W.S., Peng, Y., Xue, F., Chen, K., Niu, Y.H., and Chen, X. (2017). The fusion of Geographic Information System (GIS) and BIM for big data analytics in managing development sites. Comprehensive Geographic Information Systemshttps://doi.org/10.1016/B978-0-12-409548-9.09677-9.
  5. Zheng, L. Lu, W.S., Chen, K., Chau, K.W., and Niu, Y.H. (2017). Benefit sharing for BIM implementation: Tackling the moral hazard dilemma in inter-firm cooperation. International Journal of Project Managementhttps://doi.org/10.1016/j.ijproman.2017.01.006.
  6. Zhong, R., Peng, Y., Xue, F., Fang, J., Zou, W., Luo, H., Ng. S.T., Lu, W.S., Shen, Q.P., and Huang, G.Q. (2017). Prefabricated construction enabled by the Internet-of-Things. Automation in Constructionhttps://doi.org/10.1016/j.autcon.2017.01.006.
  7. Chen, K., Lu, W.S., Wang, H.D., Niu, Y. H., and Huang, G.Q. (2017). Naming objects in BIM: A convention and a semi-automatic approach. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001314.
  8. Lu, W.S., Webster, C., Chen, K., Zhang, X.L., and Chen, X. (2017). Computational BIM for construction waste management: moving from rhetoric to reality. Renewable & Sustainable Energy Reviewshttps://doi.org/10.1016/j.rser.2016.10.029.
2016

  1. Wang, H.D, Lu, W.S., Ye, M., Chau, K.W., and Zhang, X.L. (2016). The curvilinear relationship between corporate social performance and corporate financial performance: evidence from the international construction industry. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2016.07.184.
  2. Xiong, B., Lu, W.S., Skitmore, M., Chau, K.W., and Ye, M. (2016). Virtuous nexus between corporate social performance and financial performance: A study of construction enterprises in China. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2016.04.078.
  3. Chancellor, W. and Lu, W.S.(2016). A regional and provincial productivity analysis of the Chinese construction industry: from 1995 to 2012. ASCE Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001177.
  4. Lu, W.S., Niu, Y.H., Liu, D.D., Chen, K., and Ye, M. (2016). i-Core: Towards a customizable smart construction system for Hong Kong. Innovation in Construction, v. 1, p. 71-79, ISSN 2312-8291.
  5. Niu, Y.H., Lu, W.S., Liu, D., Chen, K., Anumba, C., and Huang, G. Q. (2016). An SCO-enabled logistics and supply chain management system in construction. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001232.
  6. Liang, C., Lu, W.S., Rowlinson, S., and Zhang, X.L. (2016). Development of a multifunctional BIM maturity model. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001186.
  7. Zhang, X.L., Hes, D., Wu, Y.Z., Hafkamp, W., Lu, W.S., Bayulken, B., Schnitzer, H., and Li, F. (2016). (CFP) Catalyzing sustainable urban transformations towards smarter, healthier cities through urban ecological infrastructure, regenerative development, eco towns and regional prosperity. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2016.02.038.
  8. Wu, Y., Shen, J., Zhang, X., Skitmore, M., and Lu, W.S. (2016).The impact of urbanization on carbon emissions in developing countries: a Chinese study based on the U-Kaya method. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2016.06.121.
  9. Zhao, X.L., Pan, W., and Lu, W.S. (2016). Business model innovation for delivering zero carbon buildings. Sustainable Cities and Society. https://doi.org/10.1016/j.scs.2016.03.013.
  10. Lu, W.S., Peng, Y., Chen, X., Skitmore, M., and Zhang, X.L. (2016). The S-curve for forecasting waste generation in construction projects. Waste Managementhttps://doi.org/10.1016/j.wasman.2016.07.039.
  11. Lu, W.S., Webster, C., Peng Y., Chen, X., and Zhang, X.L. (2016). Estimating and calibrating the amount of building-related construction and demolition waste in urban China. International Journal of Construction Managementhttps://doi.org/10.1080/15623599.2016.1166548.
  12. Tam, V.W.Y. and Lu, W.S.(2016). Construction waste management profiles, practices, and performance: a cross-jurisdictional analysis in four countries. Sustainabilityhttps://doi.org/10.3390/su8020190.
2015

  1. Lu, W.S., Ye, M., Flanagan, R., and Ye, K.H. (2015). Corporate social responsibility disclosures in international construction business: trends and prospects. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0001034.
  2. Niu, Y.H., Lu, W.S., Chen, K., Huang, G.Q., and Anumba, C. (2015). Smart construction objects. ASCE Journal of Computing in Civil Engineering. https://doi.org/10.1061/(ASCE)CP.1943-5487.0000550.
  3. Chen, K., Lu, W.S., Peng, Y., Rowlinson, S.M., and Huang, G.Q (2015). Bridging BIM and building: From a literature review to an integrated conceptual framework. International Journal of Project Managementhttps://doi.org/10.1016/j.ijproman.2015.03.006.
  4. Lu, W.S., Fung, A., Peng, Y., Liang, C. and Rowlinson, S.M. (2015). Demystifying construction project time-effort distribution curves: a BIM and non-BIM comparison. ASCE Journal of Management in Engineeringhttps://doi.org/10.1061/(ASCE)ME.1943-5479.0000356.
  5. Lu, W.S., Chen, X., Peng, Y., and Shen, L.Y. (2015). Benchmarking construction waste management performance using big data. Resources, Conservation and Recycling. https://doi.org/10.1016/j.resconrec.2015.10.013.
  6. Lu, W.S., Chen, X., Ho, C.W.D., and Wang, H.D. (2015). Analysis of the construction waste management performance in Hong Kong: the public and private sectors compared using big data. Journal of Cleaner Productionhttps://doi.org/10.1016/j.jclepro.2015.06.106.
  7. Lu, W.S., Peng, Y. Webster, C., and Zuo, J. (2015). Stakeholders’ willingness to pay for enhanced construction waste management: a Hong Kong study. Renewable and Sustainable Energy Reviewshttps://doi.org/10.1016/j.rser.2015.03.008.
  8. Lai, W.C.L., Baker, M., Lu, W.S., Chau, M.H., Ho, D.C.W., and Davies, S. (2015). Out of sight, out of mind: A comparative study of public bus terminals as civic spaces. Citieshttps://doi.org/10.1016/j.cities.2014.11.004.
2014

  1. Lu, W.S. (2014). Reliability of Engineering News-Record international construction data. Construction Management and Economicshttps://doi.org/10.1080/01446193.2014.919403.
  2. Lu, W.S., Chau, K.W., Wang, H.D., and Pan, W. (2014). A decade’s debate on the nexus between corporate social and corporate financial performance: a critical review of empirical studies 2002 – 2011. Journal of Cleaner Production. https://doi.org/10.1016/j.jclepro.2014.04.072.
  3. Lu, W.S. (2014). Corporate Social Responsibility (CSR) in international construction. Frontiers and Key Trends in Construction Management Research. China City Press: Beijing (in Chinese). ISBN: 9787507429336.
  4. Lu, W.S., Yang, H., and Langston, C. (2014). Internationalization of the construction industry. Measuring Construction: Prices, Output, and Productivity. ISBN: 9780415659376. Routledge.
  5. Jewell, C., Flanagan, R., and Lu, W.S. (2014). The dilemma of scope and scale for construction professional service firms. Construction Management and Economics. https://doi.org/10.1080/01446193.2013.879194.
  6. Tan, Y.T., Shen, L.Y., Craig Langston, Lu, W.S., and Yam, C.H.M. (2014). Critical success factors for building maintenance business: A Hong Kong case study. Facilitieshttps://doi.org/10.1108/F-08-2012-0062.
  7. Flanagan, R., Jewell, C, Lu, W.S., and Pekericli, K. (2014). Auto-ID – Bridging the physical and the digital on construction projects. Chartered Institute of Building. ISBN 1853800191. 38p. http://www.ciob.org/sites/default/files/Auto-ID%20Book.pdf
  8. Lu, W.S., Fung, A., Peng, Y., Liang, C., and Rowlinson, S.M. (2014). Cost-benefit analysis of Building Information Modeling implementation in building projects through demystification of time-effort distribution curves. Building and Environment. https://doi.org/10.1016/j.buildenv.2014.08.030.
  9. Lai, W.C.L., Lu, W.S., and Lorne, F. (2014). A catallaxis framework of government land reclamation: the case of Hong Kong and Shenzhen. Habitat Internationalhttps://doi.org/10.1016/j.habitatint.2014.04.013.
2013

  1. Ye, K.H., Shen, L.Y., and Lu, W.S. (2013). A discriminant model for measuring competition intensity of construction market. Engineering, Construction and Architectural Managementhttps://doi.org/10.1108/ECAM-05-2012-0053.
  2. Lu, W.S., Ye, K.H., Flanagan, R., and Jewell, C. (2013). Nexus between contracting and construction professional service businesses: empirical evidence from the international market. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0000802.
  3. Shi, L.G., Ye, K.H., Lu, W.S., and Hu, X (2013). Improving the competence of construction management consultants to underpin sustainable construction in China. Habitat International. https://doi.org/10.1016/j.habitatint.2013.08.002.
  4. Yang, H. andLu, W.S. (2013). Niche comparisons: toward a new approach for analysing competition and organizational performance in the international construction market. Construction Management and Economics. https://doi.org/10.1080/01446193.2013.777753.
  5. Lu, W.S., Peng, Y., Shen, Q.P., and Li, H. (2013). Generic model for measuring benefits of BIM as a learning tool in construction tasks. ASCE Journal of Construction Engineering and Management. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000585.
  6. Lu, W.S.and Yuan, H.P. (2013). Investigating waste reduction potential in the upstream processes of offshore prefabrication construction. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2013.08.048.
  7. Lu, W.S.and Tam, W. Y. V. (2013). Construction waste management policies and their effectiveness in Hong Kong: A longitudinal review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2013.03.007.
  8. Yuan, H.P., Lu, W.S., and Hao, J.L. (2013). The evolution of construction waste sorting on-site. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2013.03.007
  9. Lu, W.S.(2013). Beyond the inert and non-inert dichotomy: towards ‘building a zero waste Hong Kong’. Building Journal. https://fac.arch.hku.hku.hk/wilson/BJ11_2013.pdf.
  10. Lu, W.S.(2013). Construction Waste Management in Hong Kong: Ten years, no change? Building Journal. http://www.smile-net.hk/hot_topics/20130618construction_waste.pdf.
  11. Lu, W.S.(2013). Enhancing housing production in Hong Kong through BIMatizing offshore prefabrication. Building Journal. http://www.building.hk/forum/2013_0326housing.pdf.
  12. Lu, W.S., Liu, A. M.M., Wang, H.D., and Wu, Z.B. (2013). Procurement innovation for public construction projects: A study of agent-construction system and public-private partnership in China. Engineering, Construction and Architectural Managementhttps://doi.org/10.1108/ECAM-09-2011-0084.
2012 or earlier

  1. Lu, W.S., Ye, K.H., Flanagan, R., and Jewell, C. (2012). Developing construction professional services in the international market: A SWOT analysis of China. ASCE Journal of Management in Engineeringhttps://doi.org/10.1061/(ASCE)ME.1943-5479.0000144.
  2. Lu, W.S., Liu, A. M.M., Rowlinson, S.M., and Poon, S.W. (2012). Sharpening competitive edge through procurement innovation: Perspectives from Chinese international construction companies. ASCE Journal of Construction Engineering and Managementhttps://doi.org/10.1061/(ASCE)CO.1943-7862.0000614.
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