Abstracts – Browse Results
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Balasubramani, M, Mahalingam, A and Scott, W R (2020) Imitation and adaptation: lessons from a case study of a metro rail project in India. Construction Management and Economics, 38(04), 364–82.
Chinowsky, P S and Javernick-Will, A (2020) High-value, collaborative networks. Construction Management and Economics, 38(04), 398–408.
Dewulf, G and Garvin, M J (2020) Responsive governance in PPP projects to manage uncertainty. Construction Management and Economics, 38(04), 383–97.
Hall, D M, Whyte, J K and Lessing, J (2020) Mirror-breaking strategies to enable digital manufacturing in Silicon Valley construction firms: a comparative case study. Construction Management and Economics, 38(04), 322–39.
Hallowell, M R, Bhandari, S and Alruqi, W (2020) Methods of safety prediction: analysis and integration of risk assessment, leading indicators, precursor analysis, and safety climate. Construction Management and Economics, 38(04), 308–21.
- Type: Journal Article
- Keywords: Safety risk; leading indicators; precursor analysis; safety climate; energy assessment;
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2019.1598566
- Abstract:
Construction safety prediction is an emerging field where various forms of information and analytical techniques are used to predict the likelihood or severity of a future injury. A review of this literature reveals that even though the approaches are used for the same goal of predicting future safety outcomes, they are modeled independently and exclusively from one another. To organize thinking in safety prediction, the literature is organized into four operationally-defined predictive families: (1) safety risk assessment, which considers the characteristics and dangers of the work; (2) precursor analysis, which considers the conditions of the workers; (3) leading indicators, which consider the quantity of safety management activities; and (4) safety climate assessments, which considers worker perceptions of safety. Additionally, a unified model is proposed where the four families are considered together and opportunities for synergy and cross-validation are exploited. Researchers may benefit from this model as they create points of departure, propose and test novel approaches, and attempt to contextualize their findings within the existing body of literature. Furthermore, practitioners may use the model to make more accurate and robust safety predictions that account for the interconnectedness of the work attributes, human resources, and management strategies that affect safety.
Kunz, J and Fischer, M (2020) Virtual design and construction. Construction Management and Economics, 38(04), 355–63.
Tommelein, I D (2020) Design science research in construction management: multi-disciplinary collaboration on the SightPlan system. Construction Management and Economics, 38(04), 340–54.