Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 21 results ...

Akbari, S, Khanzadi, M and Gholamian, M R (2018) Building a rough sets-based prediction model for classifying large-scale construction projects based on sustainable success index. Engineering, Construction and Architectural Management, 25(04), 534–58.

Bordass, B and Leaman, A (1997) Future buildings and their services. Building Research & Information, 25(04), 190–5.

Carter, K and Fortune, C (2007) Sustainable development policy perceptions and practice in the UK social housing sector. Construction Management and Economics, 25(04), 399–408.

Chan, P W and Dainty, A R J (2007) Resolving the UK construction skills crisis: a critical perspective on the research and policy agenda. Construction Management and Economics, 25(04), 375–86.

Chen, J J (1997) The impact of Chinese economic reforms upon the construction industry. Building Research & Information, 25(04), 239–45.

Friedman, A and Cammalleri, V (1997) Selection criteria for energy-efficient windows. Building Research & Information, 25(04), 234–8.

Gooding, D and Thomas, T (1997) Soilcrete blocks. Building Research & Information, 25(04), 202–9.

Hagan, E B (1997) The use of stabilized soil to enhance rural housing. Building Research & Information, 25(04), 210–7.

Harris, D J and Dudek, S J M (1997) Heat losses from suspended timber floors. Building Research & Information, 25(04), 226–33.

Ismail, Z B (2018) Improving contractor social networking on IBS infrastructure maintenance projects: a review. Engineering, Construction and Architectural Management, 25(04), 479–96.

Jha, K N and Misra, S (2007) Ranking and classification of construction coordination activities in Indian projects. Construction Management and Economics, 25(04), 409–21.

Kelly, J (2007) Making client values explicit in value management workshops. Construction Management and Economics, 25(04), 435–42.

Kindangen, J I (1997) Window and roof configurations for comfort ventilation. Building Research & Information, 25(04), 218–25.

Lam, K-C, Ning, X and Ng, T (2007) The application of the ant colony optimization algorithm to the construction site layout planning problem. Construction Management and Economics, 25(04), 359–74.

Li, C Q (1997) Deterioration of concrete building structures. Building Research & Information, 25(04), 196–201.

Li, J, Yu, M and Wang, H (2018) A taxonomy of performance shaping factors for shield tunnel construction. Engineering, Construction and Architectural Management, 25(04), 574–96.

  • Type: Journal Article
  • Keywords: Human error; Performance shaping factors; Safety behaviour; Shield tunnel construction;
  • ISBN/ISSN: 0969-9988
  • URL: https://doi.org/10.1108/ECAM-06-2016-0155
  • Abstract:
    On shield tunnel construction (STC) site, human error is widely recognized as essential to accident. It is necessary to explain which factors lead to human error and how these factors can influence human performance. Human reliability analysis supports such necessity through modeling the performance shaping factors (PSFs). The purpose of this paper is to establish and validate a PSF taxonomy for the STC context. Design/methodology/approach The approach taken in this study mainly consists of three steps. First, a description of the STC context is proposed through the analysis of the STC context. Second, the literature which stretch across the PSF methodologies, cognitive psychology and human factors of STC and other construction industries are reviewed to develop an initial set of PSFs. Finally, a final PSF set is modified and validated based on STC task analysis and STC accidents cases. Findings The PSF taxonomy constituted by 4 main components, 4 hierarchies and 85 PSFs is established for human behavior modeling and simulation under the STC context. Furthermore, by comparing and evaluating the performance of STC PSF and existing PSF studies, the proposed PSF taxonomy meets the requirement for qualitative and quantitative analysis. Practical implications The PSF taxonomy can provide a basis and support for human behavior modeling and simulation under the STC context. Integrating PSFs into a behavior simulation model provides a more realistic and integrated assessment of human error by manifesting the influence of each PSFs on the cognitive processes. The simulation results can suggest concrete points for the improvement of STC safety management. Originality/value This paper develops a taxonomy of PSFs that addresses the various unique influences of the STC context on human behaviors. The harsh underground working conditions and diverse resources of system information are identified as key characteristics of the STC context. Furthermore, the PSF taxonomy can be integrated into a human cognitive behavior model to predict the worker’s behavior on STC site in future work.

Lingard, H C, Yip, B, Rowlinson, S and Kvan, T (2007) The experience of burnout among future construction professionals: a cross-national study. Construction Management and Economics, 25(04), 345–57.

Mahjoubpour, B, Nasirzadeh, F, Mohammad Hosein Zadeh Golabchi, M, Ramezani Khajehghiasi, M and Mir, M (2018) Modeling of workers’ learning behavior in construction projects using agent-based approach. Engineering, Construction and Architectural Management, 25(04), 559–73.

Olsen, J, Lee, Z-H and Pong, W (2007) Optimal selection of concrete anchors for connection cost reduction. Construction Management and Economics, 25(04), 423–34.

Oo, B-L, Drew, D S and Lo, H P (2007) Applying a random coefficients logistic model to contractors' decision to bid. Construction Management and Economics, 25(04), 387–98.

Shahsavand, P, Marefat, A and Parchamijalal, M (2018) Causes of delays in construction industry and comparative delay analysis techniques with SCL protocol. Engineering, Construction and Architectural Management, 25(04), 497–533.