Investigating the Potential of ChatGPT in Construction Management: A Study of Interpreting Construction Crane-Related Accident Reports

Yifan Wang, Junyu Chen (), Bo Xiao (), Yuxuan Zhang (), Yuan Chen () and Qiming Li
Additional contact information
Yifan Wang: Hong Kong Polytechnic University
Junyu Chen: Hong Kong Polytechnic University
Bo Xiao: Michigan Technological University
Yuxuan Zhang: Nanjing University of Aeronautics and Astronautics
Yuan Chen: Tianjin University
Qiming Li: Southeast University

Chapter Chapter 23 in Proceedings of the 28th International Symposium on Advancement of Construction Management and Real Estate, 2024, pp 327-340 from Springer

Abstract: Abstract Large language models, such as Chat Generative Pre-training Transformer (ChatGPT), have shown great potential to revolutionize the construction industry by automating repetitive and time-consuming tasks. This study presents a framework to explore the feasibility of ChatGPT to automatically analyze causal factors using narrative accident reports in construction. Firstly, the ChatGPT was used to extract primary causal factors from accident reports from the perspectives of human-related, crane-related, environment-related, and management-related. Then, outputs from ChatGPT were evaluated by a group of participants in terms of clarity, specificity, reliability, and inspiration. Finally, the outputs from ChatGPT were further corrected by the same participants through careful addition, deletion, or re-judgment of the factors. The findings of this study include: (1) ChatGPT was generally considered a satisfying assisting tool for causal factor extraction and analysis; (2) the results also implied that this technology still needs further development before it can be widely applied in professional areas, such as construction crane safety. Overall, this study highlights the potential and the required further efforts of applying large language models in research.

Keywords: ChatGPT; Natural language processing; Factor extraction; Accident analysis; Construction management (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:lnopch:978-981-97-1949-5_23

Ordering information: This item can be ordered from
http://www.springer.com/9789819719495

DOI: 10.1007/978-981-97-1949-5_23

Access Statistics for this chapter

More chapters in Lecture Notes in Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().