A Comparative Analysis of Safety Performance in Commercial and Residential Construction: Unraveling Critical Insights

Year : 2024 | Volume :15 | Issue : 01 | Page : 1-10
By

Rubel Datta

Md Halimuzzaman

Salma Honey

  1. Master of Science Risk Control & Safety Management, University of Wisconsin-Stout, Menomonie USA
  2. Ph. D. Scholar School of Business, Galgotias University, Greater Noida Uttar Pradesh India
  3. Associate Professor Department of Business Administration, Royal University of Dhaka, Bangladesh Dhaka Bangladesh

Abstract

The comparative examination of safety performance in the domains of commercial and residential construction is an all-encompassing investigation that imparts valuable understandings into the distinct challenges and considerations within these two sectors. The research places emphasis on the significance of tailoring safety protocols to address the specific requisites of each domain, considering factors such as project magnitude, intricacy, and inherent characteristics. The study delves into safety climates by scrutinizing individuals, culture, procedures, infrastructure, metrics, and technological indicators. Behavioral facets, encompassing organizational conduct, worker involvement, performance assessment, and safety stressors, are recognized as pivotal factors in fostering safety in the construction field. The study is groundbreaking in its exhaustive analysis of safety performance in residential and commercial construction, surpassing a generic overview of safety in the broader construction industry. It pinpoints shared safety challenges and investigates industry-specific safety practices and protocols. The influence of worksite attributes, project intricacy, and labor force demographics on safety performance is accentuated. Based on the findings, the study proposes the establishment and implementation of tailored safety procedures for both residential and commercial construction endeavors. Continual evaluation of safety procedures, consideration of diverse safety indicators, and the adoption of behavior-based safety initiatives are advised. The study also highlights the significance of adapting safety protocols to industry advancements, integrating emerging technologies, and addressing the evolving demographics of the construction labor force. In conclusion, the research contributes to the continuous enhancement of safety practices in the construction industry by providing a comprehensive analysis of safety performance in residential and commercial construction, proffering insights into factors influencing safety climates, and recommending strategies for continual improvement. Future research avenues are suggested to deepen the understanding of the sustainability of safety measures, explore cultural influences, refine behavior-based safety initiatives, adapt safety protocols to industry advancements, integrate emerging technologies, and consider the evolving demographics of the construction labor force.

Keywords: Safety, health management systems, commercial construction, residential construction, incident

[This article belongs to Journal of Control & Instrumentation(joci)]

How to cite this article: Rubel Datta, Md Halimuzzaman, Salma Honey. A Comparative Analysis of Safety Performance in Commercial and Residential Construction: Unraveling Critical Insights. Journal of Control & Instrumentation. 2024; 15(01):1-10.
How to cite this URL: Rubel Datta, Md Halimuzzaman, Salma Honey. A Comparative Analysis of Safety Performance in Commercial and Residential Construction: Unraveling Critical Insights. Journal of Control & Instrumentation. 2024; 15(01):1-10. Available from: https://journals.stmjournals.com/joci/article=2024/view=150101

References

  1. Aksorn, T., & Hadikusumo, B. H. W. (2008). Critical success factors influencing safety program performance in Thai construction projects. Safety Science, 46(4), 709–727. https://doi.org/10.1016/j.ssci.2007.06.006
  2. Alhammadi, S. (2022). Identification and Categorisation of Safety Improvement Practices in the Construction Industry: Review Study. International Review of Civil Engineering (IRECE), 13(1), Article 1. https://doi.org/10.15866/irece.v13i1.21199
  3. Bikarama, P. Y., Nikhil, V., Akshay, K. M., & N. A., S. (2022). Usage of Behavioral-Based Safety Approach for Improving Worker Performances in Construction Sector: A Review | SpringerLink. https://link.springer.com/chapter/10.1007/978-981-16-8270-4_23
  4. Brooks, R. C., Riley, R. A., & Thomas, Jason. T. (2005). Detecting and Preventing the Financing of Terrorist Activities: A Role for Government Accountants. 54(1), 12–18.
  5. Bružas, A. (2010). The architectural features and prevalence of contemporary landmarks in Kaunas city. Mokslas – Lietuvos Ateitis / Science – Future of Lithuania, 2(3), Article 3. https://doi.org/10.3846/mla.2010.052
  6. Cao, X., Li, X., Zhu, Y., & Zhang, Z. (2015). A comparative study of environmental performance between prefabricated and traditional residential buildings in China. Journal of Cleaner Production, 109, 131–143. https://doi.org/10.1016/j.jclepro.2015.04.120
  7. Castanheira, E. C., Souza, H. A., & Fortes, M. Z. (2015). Influence of natural and artificial light on structured steel buildings. Renewable and Sustainable Energy Reviews, 48, 392–398. https://doi.org/10.1016/j.rser.2015.04.022
  8. Cha, H. S., & Kim, C. K. (2011). Quantitative approach for project performance measurement on building construction in South Korea. KSCE Journal of Civil Engineering, 15(8), 1319–1328. https://doi.org/10.1007/s12205-011-1323-5
  9. Deru, M., Field, K., Studer, D., Benne, K., Griffith, B., Torcellini, P., Liu, B., Halverson, M., Winiarski, D., Rosenberg, M., Yazdanian, M., Huang, J., & Crawley, D. (2011). S. Department of Energy Commercial Reference Building Models of the National Building Stock (NREL/TP-5500-46861). National Renewable Energy Lab. (NREL), Golden, CO (United States). https://doi.org/10.2172/1009264
  10. Ghosh, S., Nourihamedani, M., Reyes, M., & Snyder, L. (2023). Association Between Leading Indicators of Safety Performance in Construction Projects. International Journal of Construction Education and Research, 0(0), 1–15. https://doi.org/10.1080/15578771.2023.2195209
  11. Goh, Y. M., & Chua, D. (2013). Neural network analysis of construction safety management systems: A case study in Singapore. Construction Management and Economics, 31(5), 460–470. https://doi.org/10.1080/01446193.2013.797095
  12. Kassu, A., Iii, C. F., Mills, J., & Sharma, A. (2018). Analysis of Spectral Signatures of Silicone-Based Sealant Materials Used in Residential and Commercial Buildings. Journal of Building Construction and Planning Research, 6(3), Article 3. https://doi.org/10.4236/jbcpr.2018.63008
  13. Kim, S., Song, S., & Lee, D. (2021). Buildings | Free Full-Text | A Conceptual Model of Multi-Spectra Perceptions for Enhancing the Safety Climate in Construction Workplaces. https://www.mdpi.com/2075-5309/11/8/347
  14. Lopez del Puerto, C., Clevenger, C. M., Boremann, K., & Gilkey, D. P. (2014). Exploratory Study to Identify Perceptions of Safety and Risk among Residential Latino Construction Workers as Distinct from Commercial and Heavy Civil Construction Workers. Journal of Construction Engineering and Management, 140(2), 04013048. https://doi.org/10.1061/(ASCE)CO.1943-7862.0000794
  15. Nguyen, P. T. (2021). Construction site layout planning and safety management using fuzzy-based bee colony optimization model. Neural Computing and Applications, 33(11), 5821–5842. https://doi.org/10.1007/s00521-020-05361-0
  16. Onososen, A. O., & Musonda, I. (2022). Perceived Benefits of Automation and Artificial Intelligence in the AEC Sector: An Interpretive Structural Modeling Approach. Frontiers in Built Environment, 8. https://www.frontiersin.org/articles/10.3389/fbuil.2022.864814
  17. Popova, O., Glebova, J., & Pustovgar, A. (2018). Quality assessment of urban areas based on neural network modeling and GIS. E3S Web of Conferences, 33, 02032. https://doi.org/10.1051/e3sconf/
    20183302032
  18. Shaikh, A. Y., Osei‐Kyei, R., & Hardie, M. (2020). A critical analysis of safety performance indicators in construction. International Journal of Building Pathology and Adaptation, 39(3), 547–580. https://doi.org/10.1108/IJBPA-03-2020-0018
  19. Usukhbayar, R., & Choi, J. (2020). Critical safety factors influencing on the safety performance of construction projects in Mongolia. Journal of Asian Architecture and Building Engineering, 19(6), 600–612. https://doi.org/10.1080/13467581.2020.1770095

Regular Issue Subscription Original Research
Volume 15
Issue 01
Received April 11, 2024
Accepted May 16, 2024
Published May 25, 2024