Causes of Construction Accidents and the Provisions of Safety Regulations in Construction Industry in Malaysia

Ismail, Ku Adenan Ku; Othman, Idris

doi:10.1007/978-981-33-6311-3_69

Cited by 3 publications

(2 citation statements)

References 7 publications

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“…In the United States, there were 23057 fall from height accidents during 2000-2020 [1]. In Malaysia, there were 1143 construction accidents during 2015-2019 [2]. In China, there were 6299 safety accidents in housing and municipal construction with 7562 fatalities during 2012-2021 [3].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Exploration of Construction Accidents Based on Knowledge Graph

Liao

Tan

et al. 2023

E3S Web Conf.

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The construction industry is characterized by long production cycles, poor mobility of workers, various kinds of outdoor operations and complex construction processes, leading to frequent safety accidents. To explore the occurrence rule of the construction accidents in building construction, this paper applied knowledge graph technology in the field of artificial intelligence to analyze construction accidents. Firstly, defining the conceptual architecture of the domain knowledge graph. Secondly, extracting key knowledge elements from construction accident data. The knowledge graph of construction accidents has been established by using the Neo4j graph database. Further, a construction accident analysis process based on the knowledge graph has been proposed. The intelligent analysis, such as query, statistical analysis and correlation path analysis for accident information have been conducted. The results shows that based on knowledge graph technology, construction accidents in visual graphics or tables could be visualized. The accident information in the form of knowledge could be saved and queried quickly. The study can provide knowledge support for accident prevention and improve the efficiency of accident analysis. Besides, it can provide innovative ideas as well as decision support for safety management.

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Section: Introductionmentioning

confidence: 99%

Intelligent Exploration of Construction Accidents Based on Knowledge Graph

Liao

Tan

et al. 2023

E3S Web Conf.

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“…According to recently released data from the Department of Occupational Safety and Health (DOSH, 2020), statistics show that from 2015 to 2019, about a 116% increase in accident cases. The main causes of accidents are working in high, unsafe work practices or conditions, and failure of structure (Ismail & Othman, 2021). This research is critical because it aims to determine the relationship between poor supervisory behavior and worker safety, as well as their dimensions and indicators (questionnaire items), to provide clear instructions and recommendations to construction practitioners about how supervisors may influence worker safety behavior.…”

Section: Introductionmentioning

confidence: 99%

The Supervisor’s Influence on Worker Safety in Construction Projects: A Case Study in Northern Region, Malaysia

Abd Muien,

Abdull Rahman,

Mohd Nusa

et al. 2023

JSCET

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Construction is one of the most hazardous businesses in the world, with countless accidents resulting in substantial loss of life and property damage. The fact that management conduct appears to be a key factor in workplace safety mishaps puts even more attention to the matter. The connection between managerial behaviors and workers’ safety in the construction industry has not been well studied or correctly characterized. This paper is aimed at discovering those management behaviors which can significantly impact workers’ safety in construction projects. The objectives of this study are to identify the dimensions of supervisory behavior related to workers’ safety, to determine the impacts of poor supervision on workers’ safety, and lastly to offer solutions to improve bad supervisory behavior to assure workers’ safety. A quantitative study was conducted by the distribution of questionnaires, with 142 respondents taken from construction employees from different contractor firms. They were selected from contractors’ companies registered under CIDB in three Northern states: Pulau Pinang, Kedah, and Perlis. The data were analyzed by using Statistical Package for the Social Science (SPSS). Normality, Validity, and Reliability Test with Cronbach’s Alpha Coefficient has been adopted in this research. The repercussions include delays in job progress, expenditure overruns, rework, and disruption of the project’s timeline and also to the productivity of the project. The impacts include delays in work progress, expense overruns, rework, mess with the project’s schedule, and also to the productivity of the project. Based on these findings, a supervisory effort to modify bad supervising behavior may assist to protect worker safety.

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