IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v16y2019i18p3476-d268430.html
   My bibliography  Save this article

Using Improved Principal Component Analysis to Explore Construction Accident Situations from the Multi-Dimensional Perspective: A Chinese Study

Author

Listed:
  • Bo Shao

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Zhigen Hu

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

  • Dawei Liu

    (State Key Laboratory of Water Resources and Hydropower Engineering Science, Wuhan University, Wuhan 430072, China)

Abstract

The improvement of the macro-level accident situation in the Chinese construction industry is currently an urgent task for the government due to the high accident rate. This study intends to use improved principal component analysis to explore the accident situations in the Chinese construction industry from a multi-dimensional perspective, aiming at providing targeted direction on the improvement of the accident situation for the government. Six composite indicators that can quantify the accident situation are firstly selected based on a wide review of the literature and interviews with safety experts, with the original data collected from China institutions. The classical principal component analysis is then improved to examine the correlations between indicators, and further to evaluate accident situations in China provinces. Finally, the features of accident situations are explored and analyzed from a multi-dimensional perspective. The findings show that the improved principal component analysis can retain more dispersion degree information of the original data. Meanwhile, three principal components including the accident frequency, trend, and severity were extracted to quantify the accident situation, and a hierarchical indicator system for the comprehensive evaluation of the accident situation was constructed to deeper understand multi-dimensional characteristics of China’s accident situations. Furthermore, there exist great regional differences of accident situations in Chinese provinces. From the overall perspective, the accident situation shows a declining trend from the western backward region to the highly developed eastern coastal region. This study provides a multi-dimensional perspective for the government to formulate safety regulations and improve the accident situation.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3476-:d:268430
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/16/18/3476/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/1660-4601/16/18/3476/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Francisco Arturo Hernández-Arriaza & José Pérez-Alonso & Marta Gómez-Galán & Ferdinando Salata, 2018. "The Guatemalan Construction Industry: Approach of Knowledge Regarding Work Risks Prevention," IJERPH, MDPI, vol. 15(10), pages 1-28, October.
    2. Ping Yung, 2009. "Institutional arrangements and construction safety in China: an empirical examination," Construction Management and Economics, Taylor & Francis Journals, vol. 27(5), pages 439-450.
    3. Kjell Hausken & Jun Zhuang, 2016. "The strategic interaction between a company and the government surrounding disasters," Annals of Operations Research, Springer, vol. 237(1), pages 27-40, February.
    4. 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.
    5. Yaolong Liu & Xiaoli Huang & Jin Duan & Huaming Zhang, 2017. "The assessment of traffic accident risk based on grey relational analysis and fuzzy comprehensive evaluation method," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 88(3), pages 1409-1422, September.
    6. Xia-Zhong Zheng & Fei Wang & Jian-Lan Zhou, 2017. "A Hybrid Approach for Evaluating Faulty Behavior Risk of High-Risk Operations Using ANP and Evidence Theory," Mathematical Problems in Engineering, Hindawi, vol. 2017, pages 1-16, August.
    7. Hafiz Zahoor & Albert P. C. Chan & Wahyudi P. Utama & Ran Gao & Irfan Zafar, 2017. "Modeling the Relationship between Safety Climate and Safety Performance in a Developing Construction Industry: A Cross-Cultural Validation Study," IJERPH, MDPI, vol. 14(4), pages 1-19, March.
    8. Bożena Hoła & Tomasz Nowobilski, 2018. "Classification of Economic Regions with Regards to Selected Factors Characterizing the Construction Industry," Sustainability, MDPI, vol. 10(5), pages 1-11, May.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Qingwei Xu & Kaili Xu, 2021. "Analysis of the Characteristics of Fatal Accidents in the Construction Industry in China Based on Statistical Data," IJERPH, MDPI, vol. 18(4), pages 1-21, February.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ahsan Nawaz & Xing Su & Qaiser Mohi Ud Din & Muhammad Irslan Khalid & Muhammad Bilal & Syyed Adnan Raheel Shah, 2020. "Identification of the H&S (Health and Safety Factors) Involved in Infrastructure Projects in Developing Countries-A Sequential Mixed Method Approach of OLMT-Project," IJERPH, MDPI, vol. 17(2), pages 1-18, January.
    2. Ping Yung, 2015. "A new institutional economic theory of project management," Journal of Business Economics and Management, Taylor & Francis Journals, vol. 16(1), pages 228-243, February.
    3. Shitao Gong & Xin Gao & Zhou Li & Linyan Chen, 2021. "Developing a Dynamic Supervision Mechanism to Improve Construction Safety Investment Supervision Efficiency in China: Theoretical Simulation of Evolutionary Game Process," IJERPH, MDPI, vol. 18(7), pages 1-29, March.
    4. Teng Wang & Jingjing Yan & Jinlong Ma & Fei Li & Chaoyang Liu & Ying Cai & Si Chen & Jingjing Zeng & Yu Qi, 2018. "A Fuzzy Comprehensive Assessment and Hierarchical Management System for Urban Lake Health: A Case Study on the Lakes in Wuhan City, Hubei Province, China," IJERPH, MDPI, vol. 15(12), pages 1-16, November.
    5. Ping Liu & Yongtao Shang & Lei Zhang, 2023. "A Design for Safety (DFS) Framework for Automated Inspection Risks in Metro Stations by Integrating a Knowledge Base and Building Information Modeling," IJERPH, MDPI, vol. 20(6), pages 1-19, March.
    6. Nihan Yıldırım & Derya Gultekin & Doğan Tilkici & Dilek Ay, 2022. "An Institutional System Proposal for Advanced Occupational Safety and Labor Standards in the Turkish Construction Industry," IJERPH, MDPI, vol. 19(22), pages 1-31, November.
    7. Aniruddha Bagchi & Tridib Bandyopadhyay, 2018. "Role of Intelligence Inputs in Defending Against Cyber Warfare and Cyberterrorism," Decision Analysis, INFORMS, vol. 15(3), pages 174-193, September.
    8. Anas A. Makki & Ibrahim Mosly, 2020. "Determinants for Safety Climate Evaluation of Construction Industry Sites in Saudi Arabia," IJERPH, MDPI, vol. 17(21), pages 1-10, November.
    9. 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.
    10. Sezer, Sukru Ilke & Camliyurt, Gokhan & Aydin, Muhmmet & Akyuz, Emre & Gardoni, Paolo, 2023. "A bow-tie extended D-S evidence-HEART modelling for risk analysis of cargo tank cracks on oil/chemical tanker," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    11. 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.
    12. 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.
    13. Mohanad Kamil Buniya & Idris Othman & Serdar Durdyev & Riza Yosia Sunindijo & Syuhaida Ismail & Ahmed Farouk Kineber, 2021. "Safety Program Elements in the Construction Industry: The Case of Iraq," IJERPH, MDPI, vol. 18(2), pages 1-13, January.
    14. Ji-Min Sur & Young-Ju Kim, 2024. "Multi-Criteria Model for Identifying and Ranking Risky Types of Maritime Accidents Using Integrated Ordinal Priority Approach and Grey Relational Analysis Approach," Sustainability, MDPI, vol. 16(14), pages 1-18, July.
    15. 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.
    16. Vicki M. Bier & Yuqun Zhou & Hongru Du, 2020. "Game-theoretic modeling of pre-disaster relocation," The Engineering Economist, Taylor & Francis Journals, vol. 65(2), pages 89-113, April.
    17. John B. Coles & Jing Zhang & Jun Zhuang, 2022. "Bridging the research-practice gap in disaster relief: using the IFRC Code of Conduct to develop an aid model," Annals of Operations Research, Springer, vol. 312(2), pages 1337-1357, May.
    18. Bożena Hoła & Tomasz Nowobilski, 2019. "Analysis of the Influence of Socio-Economic Factors on Occupational Safety in the Construction Industry," Sustainability, MDPI, vol. 11(16), pages 1-12, August.
    19. Abdulrahman M. Basahel, 2021. "Safety Leadership, Safety Attitudes, Safety Knowledge and Motivation toward Safety-Related Behaviors in Electrical Substation Construction Projects," IJERPH, MDPI, vol. 18(8), pages 1-17, April.
    20. Wen Li & Tong Zhou & Qiang Mei & Xiangyang Liu & Muhammad Imran, 2023. "Evolution of micro and small enterprises’ work safety behavior in high-risk industries," Small Business Economics, Springer, vol. 60(1), pages 85-104, January.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:16:y:2019:i:18:p:3476-:d:268430. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.