Current trends and future research roadmap of multi-criteria decision-making in sustainable construction studies

Authors

DOI:

https://doi.org/10.51599/is.2025.09.01.12

Keywords:

analytic hierarchy process (AHP), built environment, multi-criteria decision-making, research methodology, sustainable construction.

Abstract

Purpose. Multi-criteria decision-making (MCDM) methods have become vital tools in sustainable construction (SC) research by tackling the intricacy of balancing social, environmental and economic factors of sustainable development. This paper aims to identify, analyse, and visualise the current trends in applying MCDM techniques to SC research.

Results. The study synthesises 190 scholarly research outputs extracted from the Scopus database after a careful filtering and refinement process. A scientometric analysis and knowledge mapping were performed using VOSviewer to study the scholarly outputs that constituted the dataset. Due to its flexibility and decision-support capabilities, the results revealed the dominant use of key MCDM methods, such as the Analytic Hierarchy Process (AHP). Findings show that India, the USA, Canada, China, and Italy are among the top five published countries. The finding further revealed five clusters on the application of the MCDM method aiding “green decision dynamics”, “sustainable building design and development”, “smart and sustainable building assessment”, and “construction efficiency”.

Scientific novelty. This research is motivated by the growing application of the MCDM method due to its efficiency as discovered in other disciplines. The scientific novelty is in the systematic and bibliometric analysis to highlight the future directions and potential research gaps in the application of MCDM methods in sustainable construction research studies. The study also showcased the gradual proliferation of MCDM techniques, such as AHP, in sustainable construction research.

Practical value. This study provides valuable insights for policymakers, researchers, academics, sustainability proponents and relevant agencies seeking to leverage MCDM techniques, such as the AHP, to promote sustainable construction concepts while navigating the complexity of competing priorities.

References

AbdelAzim, A. I., Ibrahim, A. M., & Aboul-Zahab, E. M. (2017). Development of an energy efficiency rating system for existing buildings using analytic hierarchy process – the case of Egypt. Renewable and Sustainable Energy Reviews, 71, 414–425. https://doi.org/10.1016/j.rser.2016.12.071.

Akadiri, P. O., Olomolaiye, P. O., & Chinyio, E. A. (2013). Multi-criteria evaluation model for the selection of sustainable materials for building projects. Automation in Construction, 30, 113–125. https://doi.org/10.1016/j.autcon.2012.10.004.

Alawneh, R., Ghazali, F., Ali, H., & Sadullah, A. F. (2019). A novel framework for integrating United Nations Sustainable Development Goals into sustainable non-residential building assessment and management in Jordan. Sustainable Cities and Society, 49, 101612. https://doi.org/10.1016/j.scs.2019.101612.

Aliu, J., Emere, C., & Oguntona, O. (2024). Mapping smart city and industry 4.0 research in construction-related studies. Baltic Journal of Real Estate Economics and Construction Management, 12(1), 258–275. https://doi.org/10.2478/bjreecm-2024-0017.

Alwaer, H., & Clements-Croome, D. J. (2010). Key performance indicators (KPIs) and priority setting in using the multi-attribute approach for assessing sustainable intelligent buildings. Building and Environment, 45(4), 799–807. https://doi.org/10.1016/j.buildenv.2009.08.019.

Banani, R., Vahdati, M. M., Shahrestani, M., & Clements-Croome, D. (2016). The development of building assessment criteria framework for sustainable non-residential buildings in Saudi Arabia. Sustainable Cities and Society, 26, 289–305. https://doi.org/10.1016/j.scs.2016.07.007.

Berardi, U. (2017). A cross-country comparison of the building energy consumptions and their trends. Resources, Conservation and Recycling, 123, 230–241. https://doi.org/10.1016/j.resconrec.2016.03.014.

Cappai, F., Forgues, D., & Glaus, M. (2018). The integration of socio-economic indicators in the CASBEE-UD evaluation system: a case study. Urban Science, 2(1), 28. https://doi.org/10.3390/urbansci2010028.

Castro, M. d. F., Mateus, R., & Bragança, L. (2017). Development of a healthcare building sustainability assessment method – proposed structure and system of weights for the Portuguese context. Journal of Cleaner Production, 148, 555–570. https://doi.org/10.1016/j.jclepro.2017.02.005.

De Souza Dutra, C. T., Rohan, U., Branco, R. R., Chinelli, C. K., de Araujo, A. J. V. B., & Soares, C. A. P. (2017). Barriers and challenges to the sustainability requirements implementation in public procurement of engineering works and services. Open Journal of Civil Engineering, 7(1), 1–13. https://doi.org/10.4236/ojce.2017.71001.

Domingos, L., Sousa, M. J., Resende, R., Pizarro Miranda, B., Rego, S., & Ferreira, R. (2024). Establishment of a smart building assessment framework in the context of smart cities. Built Environment Project and Asset Management, 14(5), 798–813. https://doi.org/10.1108/BEPAM-07-2023-0116.

Drejeris, R., & Kavolynas, A. (2014). Multi-criteria evaluation of building sustainability behavior. Procedia – Social and Behavioral Sciences, 110, 502–511. https://doi.org/10.1016/j.sbspro.2013.12.894.

Emere, C. E. (2024). An integrated sustainable building construction model for project delivery in South Africa (PhD Thesis). University of Johannesburg. Available at: https://www.proquest.com/openview/1355d334f5f89e0de2f0f7e102fd5c4c/1?pq-origsite=gscholar&cbl=2026366&diss=y.

Emere, C. E., Aigbavboa, C. O., Thwala, W. D., & Akinradewo, O. I. (2024). A principal component analysis of sustainable building construction features for project delivery in South Africa. Journal of Engineering, Design and Technology. https://doi.org/10.1108/JEDT-01-2024-0015.

Fallahpour, A., Wong, K. Y., Rajoo, S., Olugu, E. U., Nilashi, M., & Turskis, Z. (2020). A fuzzy decision support system for sustainable construction project selection: an integrated FPP-FIS model. Journal of Civil Engineering and Management, 26(3), 247–258. https://doi.org/10.3846/jcem.2020.12183.

Figueiredo, K., Pierott, R., Hammad, A. W., & Haddad, A. (2021). Sustainable material choice for construction projects: a life cycle sustainability assessment framework based on BIM and Fuzzy-AHP. Building and Environment, 196, 107805. https://doi.org/10.1016/j.buildenv.2021.107805.

Govindan, K., Shankar, K. M., & Kannan, D. (2016). Sustainable material selection for construction industry – a hybrid multi criteria decision making approach. Renewable and Sustainable Energy Reviews, 55, 1274–1288. https://doi.org/10.1016/j.rser.2015.07.100.

Hohenadel, K. (2024). What is sustainable architecture? Available at: https://www.thespruce.com/what-is-sustainable-architecture-4846497.

Hosseini, M. R., Maghrebi, M., Akbarnezhad, A., Martek, I., & Arashpour, M. (2018). Analysis of citation networks in building information modelling research. Journal of Construction Engineering and Management, 144(8). https://doi.org/10.1061/(ASCE)co.1943-7862.0001492.

Huang, R., & Hsu, W. (2011). Framework development for state-level appraisal indicators of sustai nable construction. Civil Engineering and Environmental Systems, 28(2), 143–164. https://doi.org/10.1080/10286608.2010.502964.

Huynh, V. (2020). Developing an assessment framework for smart and sustainable buildings (Master’s thesis). Available at: https://urn.fi/URN:NBN:fi:aalto-202001261800.

Invidiata, A., Lavagna, M., & Ghisi, E. (2018). Selecting design strategies using multi-criteria decision making to improve the sustainability of buildings. Building and Environment, 139, 58–68. https://doi.org/10.1016/j.buildenv.2018.04.041.

Jahan, A., & Edwards, K. L. (2013). Multi-criteria decision analysis for supporting the selection of engineering materials in product design. Oxford, UK: Elsevier, Butterworth-Heinemann.

Jayawickrama, T. S. (2014). Conceptual framework for environmental rating systems for infrastructure projects in Sri Lanka: application to small hydropower projects. National University of Singapore. Available at: https://core.ac.uk/reader/48778760.

Kaiv, T. (2023). Enhancing construction efficiency: key factors and strategies. Available at: https://www.bauwise.com/enhancing-construction-efficiency-key-factors-and-strategies.

Kazimieras Zavadskas, E., Antucheviciene, J., & Chatterjee, P. (2018). Multiple-criteria decision-making (MCDM) techniques for business processes information management. Information, 10(1), 4. https://doi.org/10.3390/info10010004.

Khoshnava, S. M., Rostami, R., Valipour, A., Ismail, M., & Rahmat, A. R. (2018). Rank of green building material criteria based on the three pillars of sustainability using the hybrid multi criteria decision making method. Journal of Cleaner Production, 173, 82–99. https://doi.org/10.1016/j.jclepro.2016.10.066.

Koo, D. H. (2007). Development of sustainability assessment model for underground infrastructure (PhD Thesis). Arizona State University. Available at: https://www.proquest.com/openview/0eafe3d71b674ba1c6d86aaa8e3ba520/1?pq-origsite=gscholar&cbl=18750.

Li, L., Wang, L., & Zhang, X. (2022). Technology innovation for sustainability in the building construction industry: an analysis of patents from the Yangtze River Delta, China. Buildings, 12(12), 2205. https://doi.org/10.3390/buildings12122205.

Liang, H., Ren, J., Gao, Z., Gao, S., Luo, X., Dong, L., & Scipioni, A. (2016). Identification of critical success factors for sustainable development of biofuel industry in China based on grey decision-making trial and evaluation laboratory (DEMATEL). Journal of Cleaner Production, 131, 500–508. https://doi.org/10.1016/j.jclepro.2016.04.151.

Mardani, A., Jusoh, A., MD Nor, K., Khalifah, Z., Zakwan, N., & Valipour, A. (2015). Multiple criteria decision-making techniques and their applications – a review of the literature from 2000 to 2014. Economic Research – Ekonomska Istraživanja, 28(1), 516–571. https://doi.org/10.1080/1331677X.2015.1075139.

Markelj, J., Kitek Kuzman, M., Grošelj, P., & Zbašnik-Senegačnik, M. (2014). A simplified method for evaluating building sustainability in the early design phase for architects. Sustainability, 6(12), 8775–8795. https://doi.org/10.3390/su6128775.

Medineckiene, M., Zavadskas, E. K., Björk, F., & Turskis, Z. (2015). Multi-criteria decision-making system for sustainable building assessment/certification. Archives of Civil and Mechanical Engineering, 15(1), 11–18. https://doi.org/10.1016/j.acme.2014.09.001.

Metwally, E. A., Ismail, M. R., & Farid, A. A. (2024). Advancing building assessment tools: achieving sustainable development goals through the fusion of internet of things occupant-centric principles and sustainable practices. Buildings, 14(6), 1798. https://doi.org/10.3390/buildings14061798.

Nguyen, P. H., & Fayek, A. R. (2022). Applications of fuzzy hybrid techniques in construction engineering and management research. Automation in Construction, 134, 104064. https://doi.org/10.1016/j.autcon.2021.104064.

Nielsen, A. N., Jensen, R. L., Larsen, T. S., & Nissen, S. B. (2016). Early-stage decision support for sustainable building renovation – a review. Building and Environment, 103, 165–181. https://doi.org/10.1016/j.buildenv.2016.04.009.

Okafor, C. C., Aigbavboa, C., & Thwala, W. D. (2023). A bibliometric evaluation and critical review of the smart city concept – making a case for social equity. Journal of Science and Technology Policy Management, 14(3), 487–510. https://doi.org/10.1108/jstpm-06-2020-0098.

Okokpujie, I. P., Okonkwo, U. C., Bolu, C. A., Ohunakin, O. S., Agboola, M. G., & Atayero, A. A. (2020). Implementation of multi-criteria decision method for selection of suitable material for development of horizontal wind turbine blade for sustainable energy generation. Heliyon, 6(1), e03142. https://doi.org/10.1016/j.heliyon.2019.e03142.

Pons, O., De la Fuente, A., & Aguado, A. (2016). The use of MIVES as a sustainability assessment MCDM method for architecture and civil engineering applications. Sustainability, 8(5), 460. https://doi.org/10.3390/su8050460.

Rao, R. V. (2007). Multiple-attribute decision making in the manufacturing environment. In D. T. Pham (Ed.), Decision making in the manufacturing environment: using graph theory and fuzzy multiple attribute decision making methods. Springer Series in Advanced Manufacturing. Springer, London. https://doi.org/10.1007/978-1-4471-4375-8_1.

Reza, B., Sadiq, R., & Hewage, K. (2011). Sustainability assessment of flooring systems in the city of Tehran: an AHP-based life cycle analysis. Construction and Building Materials, 25(4), 2053–2066. https://doi.org/10.1016/j.conbuildmat.2010.11.041.

Sarkis, J., Meade, L., & Presley, A. (2009). A sustainability decision model for the built environment. Working Paper No. 2009-08. Worcester, MA, USA: George Perkins Marsh Institute, Clark University. Available at: https://citeseerx.ist.psu.edu/document?repid=rep1&type=pdf&doi=c29b8842ee082aaafda7ac9de5c0836cd7c18d32.

Serpell, A., Kort, J., & Vera, S. (2013). Awareness, actions, drivers and barriers of sustainable construction in Chile. Technological and Economic Development of Economy, 19(2), 272–288. https://doi.org/10.3846/20294913.2013.798597.

Si, J., Marjanovic-Halburd, L., Nasiri, F., & Bell, S. (2016). Assessment of building-integrated green technologies: a review and case study on applications of multi-criteria decision making (MCDM) method. Sustainable Cities and Society, 27, 106–115. https://doi.org/10.1016/j.scs.2016.06.013.

Singh, A., & Malik, S. K. (2014). Major MCDM techniques and their application – a review. IOSR Journal of Engineering, 4(5), 15–25. Available at: https://iosrjen.org/Papers/vol4_issue5%20(part-2)/C04521525.pdf.

Sourani, A., & Sohail, M. (2011). Barriers to addressing sustainable construction in public procurement strategies. In Proceedings of the Institution of Civil Engineers – Engineering Sustainability, vol. 164, no. 4 (pp. 229–237). Thomas Telford Ltd. https://doi.org/10.1680/ensu.2011.164.4.229.

Stojić, G., Stević, Ž, Antuchevičienė, J., Pamučar, D., & Vasiljević, M. (2018). A novel rough WASPAS approach for supplier selection in a company manufacturing PVC carpentry product. Information, 9(5), 35–50. https://doi.org/10.3390/info9050121.

Sussex, J., Rollet, P., Garau, M., Schmitt, C., Kent, A., & Hutchings, A. (2013). A pilot study of multi-criteria decision analysis for valuing orphan medicines. Value in Health, 16(8), 1163–1169. https://doi.org/10.1016/j.jval.2013.10.002.

Tzeng, G., & Huang, J. (2011). Multiple attribute decision making: methods and applications. New York, Chapman and Hall/CRC. https://doi.org/10.1201/b11032.

Usmani, F. (2024). What is sensitivity analysis? Available at: https://pmstudycircle.com/sensitivity-analysis.

van Eck, N. J., & Waltman, L. (2019). Accuracy of citation data in Web of Science and Scopus. arXiv preprint arXiv:1906.07011. https://doi.org/10.48550/arXiv.1906.07011.

Velasquez, M., & Hester, P. T. (2013). An analysis of multi-criteria decision-making methods. International Journal of Operations Research, 10(2), 56–66. Available at: http://www.orstw.org.tw/ijor/vol10no2/ijor_vol10_no2_p56_p66.pdf.

Wang, Z., Gong, Z., & Liu, Z. (2023). Dynamic simulation of green technology innovation in large construction companies. Environmental Science and Pollution Research, 30, 114452–114470. https://doi.org/10.1007/s11356-023-30276-3.

Downloads

Published

2025-03-30

How to Cite

Oguntona, O. A., Emere, C., Ayorinde, E., & Ohiomah, I. (2025). Current trends and future research roadmap of multi-criteria decision-making in sustainable construction studies. Journal of Innovations and Sustainability, 9(1), 12. https://doi.org/10.51599/is.2025.09.01.12

Issue

Section

Multidisciplinary