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Barajei, C, Kusi, E, Ackon, F, Osman, A M, Mohammed, A M Z, Simpeh, F and Gyimah, F (2024) Success factors of the consultant selection stage of the Ghanaian public construction projects: The road sector’s perspective. Construction Economics and Building, 24(01-02), 144-62.

Bello, A O, Abdulraheem, A A, Afolabi, O P, Aka, A and Gbenga, P O (2024) Assessing the underlying factors affecting trust and transparency in the construction industry: A mixed method approach. Construction Economics and Building, 24(01-02), 3-28.

Chiponde, D, Gledson, B and Greenwood, D (2024) The institutional field of learning from project-related failures: opportunities and challenges. Construction Economics and Building, 24(01-02), 163-81.

Debs, L and Hubbard, B (2023) Gathering and disseminating lessons learned in construction companies to support knowledge management. Construction Economics and Building, 23(01-02), 56-76.

Domínguez-Herrera, M M, González-Morales, O and González-Díaz, E (2023) Social responsibility of construction company as strategy for sustainability in island territories. Construction Economics and Building, 23(01-02), 30-55.

Hong, J, Akotia, J and Egbu, C (2024) Virtual reality in construction activities: Barriers for adoption in China. Construction Economics and Building, 24(01-02), 77-93.

Kapogiannis, G, Palaios, P and Sawhney, A (2024) Digital construction led growth asymmetries in Europe: The need for collaborative culture. Construction Economics and Building, 24(01-02), 50-76.

Khan, I H and Munawer, T (2024) A systematic review of economic sustainability of vertical greenery systems for buildings. Construction Economics and Building, 24(01-02), 119-43.

Suriyanon, N, Sutheerawatthana, P, Kaewmoracharoen, M and Klansai, V (2023) The utility and value of contract terms: A case study on interior contractors. Construction Economics and Building, 23(01-02), 77-94.

Uddin, S M J, Albert, A, Pradhananga, N, Ganapati, N E and Prajapati, J (2023) Health and safety challenges among post-disaster reconstruction workers. Construction Economics and Building, 23(01-02), 4-30.

  • Type: Journal Article
  • Keywords: wellbeing; earthquake; government; health and safety; safety; Nepal; natural disaster; best practice; construction worker; stakeholder; interview
  • ISBN/ISSN:
  • URL: https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/8441
  • Abstract:

    With the increase in the number of natural disasters in recent years, post-disaster reconstruction (PDR) efforts have become increasingly important to aid community recovery. Accordingly, a large body of recent research has focused on identifying the best practices for accelerating recovery and restoring impacted communities. However, relatively little attention has been devoted to the health and safety challenges experienced by reconstruction workers that aid post-disaster recovery and reconstruction efforts. The current investigation focused on addressing this knowledge gap by seeking to uncover the health and safety challenges that reconstruction workers experienced in the context of the 2015 Gorkha earthquake in Nepal – that was responsible for nearly 9,000 deaths and 22,000 injuries. The data collection effort involved in-depth interviews with several stakeholders, including construction workers, supervisors, site engineers, general contractors, homeowners, and governmental officials. This study enhances our understanding of the health and safety challenges experienced by PDR workers. The study also offers insight on how the obtained knowledge can be leveraged by government and stakeholders with supervisory roles to ensure proper health, safety, and wellbeing of the reconstruction workers.

Upadhyaya, D and Malek, M S S (2024) An exploratory factor analysis approach to investigate health and safety factors in Indian construction sector. Construction Economics and Building, 24(01-02), 29-49.

Wood, X, Ghimire, P, Kim, S, Barutha, P and Jeong, H D (2024) Framework for evaluating the success of integrated project delivery in the industrial construction sector: A mixed methods approach & machine learning application. Construction Economics and Building, 24(01-02), 94-118.