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Construction health and safety: A topic landscape study

Author

Listed:
  • Cao Xiaorui
  • Guo Liang

    (Data Science institute, Shandong University, China)

  • Lu Ruodan

    (Darwin College, University of Cambridge, UK)

  • Liu Jianya

    (Data Science institute, Shandong University, China)

Abstract

We aim to draw in-depth insights into the current literature in construction health and safety and provide perspectives for future research efforts. The existing literature on construction health and safety is not only diverse and rich in sight, but also complex and fragmented in structure. It is essential for the construction industry and research community to understand the overall development and existing challenges of construction health and safety to adapt to future new code of practice and challenges in this field. We mapped the topic landscape followed by identifying the salient development trajectories of this research area over time. We used the topic modeling algorithm to extract 10 distinct topics from 662 abstracts (filtered from a total of 895) of articles published between 1991 and 2020. In addition, we provided the most cited references and the most popular journal per topic as well. The results from a time series analysis suggested that the construction health and safety would maintain its popularity in the next 5 years. Research efforts would be devoted to the topics including “Physical health and disease”, “Migrant and race”, “Vocational ability and training”, and “Smart devices.” Among these topics, “Smart devices” would be the most promising one.

Suggested Citation

  • Cao Xiaorui & Guo Liang & Lu Ruodan & Liu Jianya, 2021. "Construction health and safety: A topic landscape study," Organization, Technology and Management in Construction, Sciendo, vol. 13(2), pages 2472-2483, July.
    • Handle: RePEc:vrs:otamic:v:13:y:2021:i:2:p:2472-2483:n:4
    DOI: 10.2478/otmcj-2021-0027
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    References listed on IDEAS

    as
    1. Aoife M. Finneran & Alistair Gibb, 2013. "Construction Safety and Health," Construction Management and Economics, Taylor & Francis Journals, vol. 31(5), pages 501-502, May.
    2. Arcury, T.A. & Grzywacz, J.G. & Chen, H. & Mora, D.C. & Quandt, S.A., 2014. "Work organization and health among immigrant women: Latina manual workers in North Carolina," American Journal of Public Health, American Public Health Association, vol. 104(12), pages 2445-2452.
    3. Grün, Bettina & Hornik, Kurt, 2011. "topicmodels: An R Package for Fitting Topic Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 40(i13).
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