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      Using Interpretative Structural Modeling to Identify Critical Success Factors for Safety Management in Subway Construction: A China Study

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          Abstract

          With the rapid development of urbanization in China, a vast number of subway projects are under construction and planned in many cities. However, the complexities of the environment in subway construction inherently bring about many uncertainties and risk factors. Understanding the inherent properties of the critical success factors (CSFs) will contribute significantly to the subway construction. From this perspective, this paper aims to identify the CSFs for safety management in subway construction. This study screened preliminary CSFs through a literature review and in-depth interviews with experts in China. Based on the data gathered and subsequently analyzed from the questionnaire surveys, a final total of 24 CSFs were identified. Then, interpretative structural modeling was employed to ascertain the interrelations among them. The result showed that the factors concerning the engineering survey and design not only occupy relatively higher scores in the questionnaire survey but also contribute significantly latent impacts on other factors. In addition, the creation of a reasonable schedule and the investment of the safety measures were also found to have a fundamental impact on the safety management of subway construction. This research guided the safety managers in determining the most important safety factors they must face and provided them valuable information that could promote safety performance and decrease the number of accidents over the course of subway construction.

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          Most cited references57

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          Contributing factors in construction accidents.

          This overview paper draws together findings from previous focus group research and studies of 100 individual construction accidents. Pursuing issues raised by the focus groups, the accident studies collected qualitative information on the circumstances of each incident and the causal influences involved. Site based data collection entailed interviews with accident-involved personnel and their supervisor or manager, inspection of the accident location, and review of appropriate documentation. Relevant issues from the site investigations were then followed up with off-site stakeholders, including designers, manufacturers and suppliers. Levels of involvement of key factors in the accidents were: problems arising from workers or the work team (70% of accidents), workplace issues (49%), shortcomings with equipment (including PPE) (56%), problems with suitability and condition of materials (27%), and deficiencies with risk management (84%). Employing an ergonomics systems approach, a model is proposed, indicating the manner in which originating managerial, design and cultural factors shape the circumstances found in the work place, giving rise to the acts and conditions which, in turn, lead to accidents. It is argued that attention to the originating influences will be necessary for sustained improvement in construction safety to be achieved.
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            Identifying elements of poor construction safety management in China

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              Toward Interpretation of Complex Structural Models

                Author and article information

                Journal
                Int J Environ Res Public Health
                Int J Environ Res Public Health
                ijerph
                International Journal of Environmental Research and Public Health
                MDPI
                1661-7827
                1660-4601
                28 June 2018
                July 2018
                : 15
                : 7
                : 1359
                Affiliations
                [1 ]School of Civil Engineering, Southeast University, Nanjing 211189, China; liupvip@ 123456foxmail.com (P.L.); xh@ 123456seu.edu.cn (X.X.)
                [2 ]School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China
                [3 ]School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China; 20170301014@ 123456cqu.edu.cn
                [4 ]Institute of Engineering Management, Hohai University, Nanjing 211100, China; 230129183@ 123456seu.edu.cn
                Author notes
                [* ]Correspondence: 230159652@ 123456seu.edu.cn ; Tel.: +86-025-8379-3697
                Author information
                https://orcid.org/0000-0002-7295-2380
                Article
                ijerph-15-01359
                10.3390/ijerph15071359
                6069219
                29958438
                9aa00fc2-6c6e-4bc2-91eb-5427abb49fe9
                © 2018 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 10 April 2018
                : 26 June 2018
                Categories
                Article

                Public health
                subway construction,safety,critical success factors,interpretative structural modeling

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