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

Author

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  • Ping Liu

    (School of Civil Engineering, Southeast University, Nanjing 211189, China
    School of Civil Engineering, Lanzhou University of Technology, Lanzhou 730050, China)

  • Qiming Li

    (School of Civil Engineering, Southeast University, Nanjing 211189, China)

  • Jing Bian

    (School of Construction Management and Real Estate, Chongqing University, Chongqing 400045, China)

  • Liangliang Song

    (Institute of Engineering Management, Hohai University, Nanjing 211100, China)

  • Xiaer Xiahou

    (School of Civil Engineering, Southeast University, Nanjing 211189, China)

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.

Suggested Citation

  • Ping Liu & Qiming Li & Jing Bian & Liangliang Song & Xiaer Xiahou, 2018. "Using Interpretative Structural Modeling to Identify Critical Success Factors for Safety Management in Subway Construction: A China Study," IJERPH, MDPI, vol. 15(7), pages 1-18, June.
    • Handle: RePEc:gam:jijerp:v:15:y:2018:i:7:p:1359-:d:155054
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    References listed on IDEAS

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    Cited by:

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    2. Xiao-Hai Weng & Yu-Ming Zhu & Xiao-Yu Song & Naveed Ahmad, 2019. "Identification of Key Success Factors for Private Science Parks Established from Brownfield Regeneration: A Case Study from China," IJERPH, MDPI, vol. 16(7), pages 1-17, April.
    3. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Małgorzata Sławińska, 2022. "Integrated Approach for Safety Culture Factor Evaluation from a Sustainability Perspective," IJERPH, MDPI, vol. 19(19), pages 1-30, September.
    4. Xiaoyan Jiang & Sai Wang & Jie Wang & Sainan Lyu & Martin Skitmore, 2020. "A Decision Method for Construction Safety Risk Management Based on Ontology and Improved CBR: Example of a Subway Project," IJERPH, MDPI, vol. 17(11), pages 1-23, June.
    5. Ping Liu & Mengchu Xie & Jing Bian & Huishan Li & Liangliang Song, 2020. "A Hybrid PSO–SVM Model Based on Safety Risk Prediction for the Design Process in Metro Station Construction," IJERPH, MDPI, vol. 17(5), pages 1-24, March.
    6. Yongcheng Zhang & Xuejiao Xing & Maxwell Fordjour Antwi-Afari & Mingqing Wu, 2022. "Safety Risk Estimation of Construction Project Based on Energy Transfer Model and System Dynamics: A Case Study of Collapse Accident in China," IJERPH, MDPI, vol. 19(21), pages 1-14, November.
    7. Banus Kam Leung Low & Siu Shing Man & Alan Hoi Shou Chan & Saad Alabdulkarim, 2019. "Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors," IJERPH, MDPI, vol. 16(8), pages 1-13, April.
    8. Bo Shao & Zhigen Hu & Dawei Liu, 2019. "Using Improved Principal Component Analysis to Explore Construction Accident Situations from the Multi-Dimensional Perspective: A Chinese Study," IJERPH, MDPI, vol. 16(18), pages 1-18, September.

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