Deng, Y; Liu, Z; Song, L; Ni, G and Xu, N (2024) Exploring the metro construction accidents and causations for improving safety management based on data mining and network theory. Engineering, Construction and Architectural Management, 31(9), pp. 3508-3532. ISSN 0969-9988
Abstract
Purpose: The purpose of this study is to identify the causative factors of metro construction safety accidents, analyze the correlation between accidents and causative factors and assist in developing safety management strategies for improving safety performance in the context of the Chinese construction industry. Design/methodology/approach: To achieve these objectives, 13 types and 48 causations were determined based on 274 construction safety accidents in China. Then, 204 cause-and-effect relationships among accidents and causations were identified based on data mining. Next, network theory was employed to develop and analyze the metro construction accident causation network (MCACN). Findings: The topological characteristics of MCACN were obtained, it is both a small-world network and a scale-free network. Controlling critical causative factors can effectively control the occurrence of metro construction accidents. Degree centrality strategy is better than closeness centrality strategy and betweenness centrality strategy. Research limitations/implications: In practice, it is very difficult to quantitatively identify and determine the importance of different accidents and causative factors. The weights of nodes and edges are failed to be assigned when constructing MCACN. Practical implications: This study provides a theoretical basis and feasible management reference for construction enterprises in China to control construction risks and reduce safety accidents. More safety resources should be allocated to control critical risks. It is recommended that safety managers implement degree centrality strategy when making safety-related decisions. Originality/value: This paper establishes the MCACN model based on data mining and network theory, identifies the properties and clarifies the mechanism of metro construction accidents and causations.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | immune analysis; metro construction; network theory; safety management; topological characteristic |
| Index terms: | data mining, construction industry, strategy, manager, China, construction safety, safety management, safety performance, methodology, construction accident |
| Subjects: | data science, practitioner, industry analysis, environmental health, occupational health and safety management, Geography, management, research methods |
| Topics: | Sustainability, Roles and Professions, Research Practice, Geographical Context, Business Strategy, Health and Safety |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here