Implementation of safety management systems in Hong Kong construction industry – A safety practitioner's perspective

Yiu, Nicole S. N.; Sze, N.N.; Chan, Daniel W.M.

doi:10.1016/j.jsr.2017.12.011

Cited by 91 publications

(99 citation statements)

References 27 publications

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“…Adequate SMS requires a comprehensive investigation of the attributes that contribute to accidents. Yiu et al (2018) examined the efficiency of implementing the SMS in the Hong Kong construction industry, and a similar study was performed for developing countries in the research of Kheni et al (2010). Root cause analysis is commonly used to explore the core reasons behind a problem.…”

Section: Safety Performance and Safety Managementmentioning

confidence: 99%

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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Identifying the correlations between the attributes of severe accidents could be vital to preventing them. If such relationships were known dynamically, it would be possible to take preventative actions against accidents. The paper aims to develop an analytical model that is adaptable for each type of data to create preventative measures that will be suitable for any computational systems. The present model collectively shows the relationships between the attributes in a coherent manner to avoid severe accidents. In this respect, Association Rule Mining (ARM) is used as the technique to identify the correlations between the attributes. The research adopts a positivist approach to adhere to the factual knowledge concerning nine different accident types through case studies and quantitative measurements in an objective nature. ARM was exemplified with nine different types of construction accidents to validate the adaptability of the proposed model. The results show that each accident type has different characteristics with varying combinations of the attribute, and analytical model accomplished to accommodate variation through the dataset. Ultimately, professionals can identify the cause-effect relationships effectively and set up preventative measures to break the link between the accident causing factors.

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Section: Safety Performance and Safety Managementmentioning

confidence: 99%

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Ayhan

Doğan

Tokdemir

2020

Journal of Civil Engineering and Management

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“…To proxy the safety outcome, a number of indicators for the environmental, operational and personal characteristics of an organization and project could be set out [8]. There were a number of motivation factors identified through qualitative approaches, e.g., literature review and structural interview with the professionals [9]. These factors characterize the quality and level of achievement of SMS and the proxies (or outcomes) which reflect the operational and safety performances.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, we applied the empricial data about the construction industry in Hong Kong to evaluate the safety effectiveness of SMS implementation. Since the total contract sum of construction projects and density of infastructure development are high in Hong Kong, results of this study should be impactful in the area, given the constraints of financial budget, legal requirements (both mandatory and voluntary) and contractual obligation [9].…”

Section: Introductionmentioning

confidence: 99%

Implementation of Safety Management System for Improving Construction Safety Performance: A Structural Equation Modelling Approach

et al. 2019

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The construction industry contributes to a large proportion of industrial injury and mortality. It is of high importance to evaluate the effectiveness of the Safety Management System (SMS). In particular, it is necessary to compare the quality and level of achievement of SMS and safety performance of a construction project. However, a sizeable sample of construction accidents is often not available. Therefore, possible proxies to indicate the safety performance were established. Moreover, the motivation factors which characterize the quality and level of achievement should be identified. In this study, a structural model has been established to examine the relationship between the SMS implementation and operational & safety performance of the construction projects. Results of the structural model illustrated the relationship between (i) SMS implementation and project safety outcome, (ii) SMS implementation and five motivation factors, and (iii) project safety outcome and six proxies. Results of this study have unfolded the motivation factors in SMS implementation and their subsequent effects on project performance, throwing light on the need to enhance the safety management practice in order to reduce accidents and injuries in the construction industry in the long run.

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“…Owners must have the willingness to sanction safety-related cost. Scarcity in safety-related cost has a great influence on construction accidents, and this cause is common in many countries, especially in developing and underdeveloped one (Tam et al 2004;Williams et al 2019;Yiu et al 2018). Workers are the primary victims of the construction accidents, and they are in physical contact with accidents than any other project participants in construction.…”

Section: High-ranking Causesmentioning

confidence: 99%

Causes of Accident at Construction Sites in Bangladesh

Ahmed

2019

Organization, Technology and Management in Construction: An International Journal

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Abstract Bangladeshi construction industry suffers more safety issues than other developing countries in the world. Among many of these, accidents at the construction site go far beyond and shape a horrific figure of death every year. The aims of this study are to identify and prioritize the causes of accidents. This study also analyses and discusses causes of accident at the construction site in Bangladesh. A widespread literature review and open discussion took place to identify the causes and design the questionnaire. The questionnaire-based survey was used to elicit the attitude of four stakeholders such as workers, owners, consultants and contractors towards the causes of accident. Mean and relative importance index (RII) were used to determine the rank of causes, and Statistical Package for the Social Sciences (SPSS) 23 was used to perform the data validation test. This study identifies 77 causes under 14 major groups and ranked them based on the mean and RII. The top five major groups of causes are management-, consultant-, technology-, labour- and contractor-related causes. The top five causes are unawareness of safety-related issue, lack of personal protective equipment, lack of safety eliminating/avoiding design, unfit equipment, lack of knowledge and training on equipment. This study will help the project participants and authorities to know and understand the various characteristics and linkage of causes of construction accidents to improve the construction safety management. It contributes to the body of knowledge, as it reveals for the first time the causes of acci dents in the Bangladeshi construction industry.

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Implementation of safety management systems in Hong Kong construction industry – A safety practitioner's perspective

Abstract: The findings of the study were consistent and indicative of the future development of safety management practice and the sustainable safety improvement of Hong Kong construction industry in the long run.

Cited by 91 publications

References 27 publications

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

An Association Rule Mining Model for the Assessment of the Correlations Between the Attributes of Severe Accidents

Implementation of Safety Management System for Improving Construction Safety Performance: A Structural Equation Modelling Approach

Causes of Accident at Construction Sites in Bangladesh

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