Integrating economic, social, governance and Construction 4.0 in construction waste management: A comprehensive framework
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Abstract
The robust growth of the construction industry in Malaysia has increased the amount of construction waste significantly, causing environmental degradation and resource depletion. Integrating the economic, social and governance (ESG) principles with advanced technologies from Construction 4.0 can revamp the inefficient management of construction waste. This study aimed to identify the potential barriers to the implementation of a comprehensive construction waste management framework. A framework was developed based on the circular economy concept. The Delphi method was then utilised to gather expert consensus. Expert opinions of contractors, consultants, developers and government agencies were compiled to derive the framework. The study results revealed that the developed framework can succeed if the identified barriers are overcome. This comprehensive framework will lay a platform for better construction waste management.
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References
Abdallah, M., Talib, M. A., Feroz, S., Nasir, Q., Abdalla, H. and Mahfood, B. (2020). Artificial intelligence applications in solid waste management: A systematic research review. Waste Management, 109: 231–246. https://doi.org/10.1016/j.wasman.2020.04.057
Aghayari, J., Valmohammadi, C. and Alborzi, M. (2022). Explaining the effective factors on digital transformation strategies in the telecom industry of Iran using the Delphi method. Discrete Dynamics in Nature and Society, 1: 9562936. https://doi.org/10.1155/2022/9562936
Akinade, O.O., Oyedele, L.O., Munir, K., Bilal, M., Ajayi, S.O., Owolabi, H.A., Alaka, H.A. and Bello, S.A. (2016). Evaluation criteria for construction waste management tools: towards a holistic BIM framework. International Journal of Sustainable Building Technology and Urban Development, 7(1): 3–21. https://doi.org/10.1080/2093761x.2016.1152203
Alite, M., Abu-Omar, H., Agurcia, M.T., Jácome, M., Kenney, J., Tapia, A. and Siebel, M. (2023). Construction and demolition waste management in Kosovo: a survey of challenges and opportunities on the road to circular economy. Journal of Material Cycles and Waste Management, 25(2): 1191–1203. https://doi.org/10.1007/s10163-022-01577-5
Amudjie, J., Agyekum, K., Adinyira, E., Amos-Abanyie, S. and Kumah, V.M.A. (2023). Awareness and practice of the principles of circular economy among built environment professionals. Built Environment Project and Asset Management, 13(1): 140–156. https://doi.org/10.1108/bepam-11-2021-0135
Anagnostopoulos, T., Zaslavsky, A. and Medvedev, A. (2015). Robust waste collection exploiting cost efficiency of IoT potentiality in smart cities. In 2015 International Conference on Recent Advances in Internet of Things (RIoT). Singapore: Institute of Electrical and Electronics Engineers (IEEE), 1–6. https://doi.org/10.1109/riot.2015.7104901
Bajwa, M., Ahmed, R., Lababidi, H., Morris, M., Morton, A., Mosher, C., Wawersik, D., Herx-Weaver, A., Gross, I.T. and Palaganas, J.C. (2023). Development of distance simulation educator guidelines in healthcare: a Delphi method application. Simulation in Healthcare, 19(1): 1–10. https://doi.org/10.1097/sih.0000000000000707
Bao, Z. (2023). Developing circularity of construction waste for a sustainable built environment in emerging economies: New insights from China. Developments in the Built Environment, 13: 100107. https://doi.org/10.1016/j.dibe.2022.100107
Bello, S.A., Oyedele, L.O., Akinade, O.O., Bilal, M., Delgado, J.M.D., Akanbi, L.A., Ajayi, A.O. and Owolabi, H.A. (2021). Cloud computing in construction industry: Use cases, benefits and challenges. Automation in Construction, 122: 103441. https://doi.org/10.1016/j.autcon.2020.103441
Botchway, E.A., Asare, S.S., Agyekum, K., Salgin, B., Pittri, H., Kumah, V.M.A. and Dompey, A.M.A. (2023). Competencies driving waste minimization during the construction phase of buildings. Buildings, 13(4): 971. https://doi.org/10.3390/buildings13040971
Cheng, B., Huang, J., Lu, K., Li, J., Gao, G., Wang, T. and Chen, H. (2022). BIM-enabled life cycle assessment of concrete formwork waste reduction through prefabrication. Sustainable Energy Technologies and Assessments, 53: 102449. https://doi.org/10.1016/j.seta.2022.102449
Chong, H.-Y., Wong, J. S. and Wang, X. (2014). An explanatory case study on cloud computing applications in the built environment. Automation in Construction, 44: 152–162. https://doi.org/10.1016/j.autcon.2014.04.010
CIDB (Construction Industry Development Board) (2020). Construction 4.0 Strategic Plan (2021–2025): Next Revolution of the Malaysian Construction Industry. Kuala Lumpur: CIDB.
Costa, A.A. and Grilo, A. (2015). BIM-based e-procurement: An innovative approach to construction e-procurement. The Scientific World Journal, 1: 905390. https://doi.org/10.1155/2015/905390
Dalkey, N.C. (1969). The Delphi Method: An Experimental Study of Group Opinion. Vol. 3.
Santa Monica: Rand Corporation. https://doi.org/10.7249/rm5888
Daoud, A.O., Omar, H., Othman, A.A.E. and Ebohon, O.J. (2023). Integrated framework towards construction waste reduction: The case of Egypt. International Journal of Civil Engineering, 21(5): 695–709. https://doi.org/10.1007/s40999-022-00793-2
De Jesus, A. and Mendonça, S. (2018). Lost in transition? Drivers and barriers in the eco-innovation road to the circular economy. Economics, 145: 75–89. https://doi.org/10.1016/j.ecolecon.2017.08.001
Debnath, B., Roychoudhuri, R. and Ghosh, S.K. (2016). E-waste management: A potential route to green computing. Procedia Environmental Sciences, 35: 669–675. https://doi.org/10.1016/j.proenv.2016.07.063
Department of Statistics (2023). Construction Statistics: Fourth Quarter 2023. Putrajaya: Department of Statistics Malaysia. Available at: https://www.dosm.gov.my/portal-main/release-content/construction-statistics-fourth-quarter-2023
. (2022). Quarterly Construction Statistics: First Quarter 2022. Putrajaya: Department of Statistics Malaysia. Available at: https://www.dosm.gov.my/site/downloadrelease?id=quarterly-construction-statistics-first-quarter-2022&lang=English
Esty, D.C. and Winston, A.S. (2006). Green to Gold: How Smart Companies Use Environmental Strategy to Innovate, Create Value and Build Competitive Advantage. New Haven: Yale University Press.
Geng, Y. and Doberstein, B. (2008). Developing the circular economy in China: Challenges and opportunities for achieving “leapfrog development”. International Journal of Sustainable Development and World Ecology, 15(3): 231–239. https://doi.org/10.3843/SusDev.15.3:6
Ghazilla, R.A.R., Sakundarini, N., Taha, Z., Abdul-Rashid, S.H. and Yusoff, S. (2015). Design for environment and design for disassembly practices in Malaysia: A practitioner’s perspectives. Journal of Cleaner Production, 108: 331–342. https://doi.org/10.1016/j.jclepro.2015.06.033
Grisham, T. (2009). The Delphi technique: A method for testing complex and multifaceted topics. International Journal of Managing Projects in Business, 2(1): 112–130. https://doi.org/10.1108/17538370910930545
Guldmann, E. and Huulgaard, R.D. (2020). Barriers to circular business model innovation: A multiple-case study. Journal of Cleaner Production, 243: 118160. https://doi.org/10.1016/j.jclepro.2019.118160
Hallowell, M.R. and Gambatese, J.A. (2009). Qualitative research: Application of the Delphi method to CEM research. Journal of Construction Engineering and Management, 136(1): 99–107. https://doi.org/10.1061/(asce)co.1943-7862.0000137
Hashim, N., Said, I. and Idris, N.H. (2013). Exploring e-procurement value for construction companies in Malaysia. Procedia Technology, 9: 836–845. https://doi.org/10.1016/j.protcy.2013.12.093
Jaillon, L. and Poon, C.S. (2014). Life cycle design and prefabrication in buildings: A review and case studies in Hong Kong. Automation in Construction, 39: 195–202. https://doi.org/10.1016/j.autcon.2013.09.006
Jude, A.B., Singh, D., Islam, S., Jameel, M., Srivastava, S., Prabha, B. and Kshirsagar, P.R. (2022). Retracted article: An artificial intelligence based predictive approach for smart waste management. Wireless Personal Communications, 127(1): 15–16. https://doi.org/10.1007/s11277-021-08803-7
Kermanshachi, S., Rouhanizadeh, B. and Dao, B. (2020). Application of Delphi method in identifying, ranking and weighting project complexity indicators for construction projects. Journal of Legal Affiairs and Dispute Resolution in Engineering and Construction, 12(1): 04519033. https://doi.org/10.1061/(asce)la.1943-4170.0000338
Kirchherr, J., Piscicelli, L., Bour, R., Kostense-Smit, E., Muller, J., Huibrechtse-Truijens, A. and Hekkert, M. (2018). Barriers to the circular economy: Evidence from the European Union (EU). Ecological Economics, 150: 264–272. https://doi.org/10.1016/j.ecolecon.2018.04.028
Liu, Z., Osmani, M., Demian, P. and Baldwin, A. (2015). A BIM-aided construction waste minimisation framework. Automation in Construction, 59: 1–23. https://doi.org/10.1016/j.autcon.2015.07.020
Lu, W. and Yuan, H. (2013). Investigating waste reduction potential in the upstream processes of offshore prefabrication construction. Renewable and Sustainable Energy Reviews, 28: 804–811. https://doi.org/10.1016/j.rser.2013.08.048
Ma, W., de Jong, M., Zisopoulos, F. and Hoppe, T. (2023). Introducing a classification framework to urban waste policy: Analysis of sixteen zero-waste cities in China. Waste Management, 165: 94–107. https://doi.org/10.1016/j.wasman.2023.04.012
Manoliadis, O.G. (2008). The role of adaptive environmental management in sustainable development case study assessing the economical benefits of sustainable construction in Greece. In E.B.O. Gungor (ed.), Environmental Technologies. London: INTECH Open Access Publisher, 85–96.
Mostafa, S., Kim, K.P., Tam, V.W. and Rahnamayiezekavat, P. (2020). Exploring the status, benefits, barriers and opportunities of using BIM for advancing prefabrication practice. International Journal of Construction Management, 20(2): 146–156. https://doi.org/10.1080/15623599.2018.1484555
Naji, K.K., Gunduz, M., Alhenzab, F., Al-Hababi, H. and Al-Qahtani, A. (2024). Assessing the digital transformation readiness of the construction industry utilizing the Delphi method. Buildings, 14(3): 601. https://doi.org/10.3390/buildings14030601
Nawaz, A., Chen, J. and Su, X. (2023). Exploring the trends in construction and demolition waste (CandDW) research: A scientometric analysis approach. Sustainable Energy Technologies and Assessments, 55: 102953. https://doi.org/10.1016/j.seta.2022.102953
Okoli, C. and Pawlowski, S.D. (2004). The Delphi method as a research tool: an example, design considerations and applications. Information and Management, 42(1): 15–29. https://doi.org/10.1016/j.im.2003.11.002
Pamidimukkala, A. and Kermanshachi, S. (2023). Occupational challenges of women in construction industry: Development of overcoming strategies using Delphi technique. Journal of Legal Affiairs and Dispute Resolution in Engineering and Construction, 15(1): 04522028. https://doi.org/10.1061/(asce)la.1943-4170.0000571
. (2022). Development of strategies to improve health and safety of women in construction industry: A Delphi method. In F. Jazizadeh, T. Shealy and M.J. Garvin (eds.), Construction Research Congress 2022. Reston, VA: American Society of Civil Engineers, 314-323. https://doi.org/10.1061/9780784483985.032
Pan, M., Linner, T., Pan, W., Cheng, H. and Bock, T. (2018). A framework of indicators for assessing construction automation and robotics in the sustainability context. Journal of Cleaner Production, 182: 82–95. https://doi.org/10.1016/j.jclepro.2018.02.053
Peng, C.L., Scorpio, D.E. and Kitbert, C.J. (1997). Strategies for successful construction and demolition waste recycling operations. Construction Management and Economics, 15(1): 49–58. https://doi.org/10.1080/014461997373105
Pradhananga, P., ElZomor, M. and Santi Kasabdji, G. (2021). Identifying the challenges to adopting robotics in the US construction industry. Journal of Construction Engineering and Management, 147(5): 05021003. https://doi.org/10.1061/(asce)co.1943-7862.0002007
Purchase, C.K., Al Zulayq, D.M., O’Brien, B.T., Kowalewski, M.J., Berenjian, A., Tarighaleslami, A.H. and Seifan, M. (2022). Circular economy of construction and demolition waste: A literature review on lessons, challenges and benefits. Materials, 15(1): 76. https://doi.org/10.3390/ma1501007
Rayens, M.K. and Hahn, E.J. (2000). Building consensus using the policy Delphi method. Policy, Politics, and Nursing Practice, 1(4): 308-315. https://doi.org/10.1177/152715440000100409
Rios, F.C., Chong, W.K. and Grau, D. (2015). Design for disassembly and deconstruction-Challenges and opportunities. Procedia Engineering, 118: 1296–1304. https://doi.org/10.1016/j.proeng.2015.08.485.
Rowe, G. and Wright, G. (1999). The Delphi technique as a forecasting tool: issues and analysis. International Journal of Forecasting, 15(4): 353–375. https://doi.org/10.1016/s0169-2070(99)00018-7
Ryłko-Polak, I., Komala, W. and Białowiec, A. (2022). The reuse of biomass and industrial waste in biocomposite construction materials for decreasing natural resource use and mitigating the environmental impact of the construction industry: a review. Materials, 15(12), 4078. https://doi.org/10.3390/ma15124078
Saidani, M., Yannou, B., Leroy, Y., Cluzel, F. and Kendall, A. (2019). A taxonomy of circular economy indicators. Journal of Cleaner Production, 207: 542–559. https://doi.org/10.1016/j.jclepro.2018.10.014
Saxena, A., Singh, R., Gehlot, A., Akram, S.V., Twala, B., Singh, A., Montero, E.C. and Priyadarshi, N. (2022). Technologies empowered environmental, social and governance (ESG): An industry 4.0 landscape. Sustainability, 15(1): 309. https://doi.org/10.3390/su15010309
Tam, V.W. and Hao, J.J. (2014). Prefabrication as a mean of minimizing construction waste on site. International Journal of Construction Management, 14(2): 113–121. https://doi.org/10.1080/15623599.2014.899129
Tangalakis, K., Lexis, L., Hryciw, D.H., Towstoless, M., Bakker, A.J., Beckett, E., Brown, D., Cameron, M., Choate, J. and Chopin, L. (2023). Establishing consensus for the core concepts of physiology in the Australian higher education context using the Delphi method. Advances in Physiology Education, 47(3): 419–426. https://doi.org/10.1152/advan.00140.2022
Tseng, M.-L., Li, S.-X., Lin, C.-W.R. and Chiu, A.S. (2023). Validating green building social sustainability indicators in China using the fuzzy Delphi method. Journal of Industrial and Production Engineering, 40(1): 35–53. https://doi.org/10.1080/21681015.2022.2070934
Tu, B., Pan, M., Zuo, J., Chang, R.-D., Webber, R.J., Zou, Z. and Dong, N. (2023). Cost-benefit analysis of construction waste source reduction: a system dynamics approach. Environmental Science and Pollution Research, 30(1): 557–577. https://doi.org/10.1007/s11356-022-22148-z
Wang, V.C. and Reio Jr, T.G. (2017). Handbook of Research on Innovative Techniques, Trends and Analysis for Optimized Research Methods. Hershey: IGI Global. https://doi.org/10.4018/978-1-5225-5164-5
Wang, Z., Li, H. and Yang, X. (2020). Vision-based robotic system for on-site construction and demolition waste sorting and recycling. Journal of Building Engineering, 32: 101769. https://doi.org/10.1016/j.jobe.2020.101769
Wolsink, M. (2010). Contested environmental policy infrastructure: Socio-political acceptance of renewable energy, water and waste facilities. Environmental Impact Assessment Review, 30(5): 302–311. https://doi.org/http://dx.doi.org/10.1016/j.eiar.2010.01.001
Won, J., Cheng, J.C. and Lee, G. (2016). Quantification of construction waste prevented by BIM-based design validation: Case studies in South Korea. Waste management, 49: 170–180. https://doi.org/10.1016/j.wasman.2015.12.026
Yeung, J.F., Chan, A.P., Chan, D.W. and Li, L.K. (2007). Development of a partnering performance index (PPI) for construction projects in Hong Kong: a Delphi study. Construction Management and Economics, 25(12): 1219–1237. https://doi.org/10.1080/01446190701598673
Yoopetch, C., Kongarchapatara, B. and Nimsai, S. (2022). Tourism forecasting using the Delphi method and implications for sustainable tourism development. Sustainability, 15(1): 126. https://doi.org/10.3390/su15010126
Yuan, Z., Bi, J. and Moriguichi, Y. (2006). The circular economy: A new development strategy in China. Journal of Industrial Ecology, 10(1–2): 4–8. https://doi.org/10.1162/108819806775545321
Zhao, L., Liu, Z. and Mbachu, J. (2019). Development of intelligent prefabs using IoT technology to improve the performance of prefabricated construction projects. Sensors, 19(19): 4131. https://doi.org/10.3390/s19194131
Zhu, D.J. and Huang, X.F. (2005). Building up a model for circular economy based on object, main body and policy. Naikai Academic Journal, 4: 86–93.
Zunk, B., Marchner, M., Uitz, I., Lerch, C. and Schiele, H. (2014). The role of E-procurement in the Austrian construction industry: Adoption rate, benefits and barriers. International Journal of Industrial Engineering and Management, 5(1): 13–21. https://doi.org/10.24867/ijiem-2014-1-102