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Abbas, G M and Gursel Dino, I (2022) The impact of natural ventilation on airborne biocontaminants: a study on COVID-19 dispersion in an open office. Engineering, Construction and Architectural Management, 29(04), 1609-41.
Chan, M (2011) Fatigue: the most critical accident risk in oil and gas construction. Construction Management and Economics, 29(04), 341–53.
Dodanwala, T C and Santoso, D S (2022) The mediating role of job stress on the relationship between job satisfaction facets and turnover intention of the construction professionals. Engineering, Construction and Architectural Management, 29(04), 1777-96.
Elazouni, A and Salem, O A (2011) Progress monitoring of construction projects using pattern recognition techniques. Construction Management and Economics, 29(04), 355–70.
Guan, K, Feng, K and Zeng, S X (2001) Urban housing development reform and in China. Building Research & Information, 29(04), 286–92.
Guo, S, Zhao, Y, Luoren, Y, Liang, K and Tang, B (2022) Knowledge discovery of correlations between unsafe behaviors within construction accidents. Engineering, Construction and Architectural Management, 29(04), 1797-816.
Hallowell, M, Esmaeili, B and Chinowsky, P (2011) Safety risk interactions among highway construction work tasks. Construction Management and Economics, 29(04), 417–29.
Hiete, M, Kühlen, A and Schultmann, F (2011) Analysing the interdependencies between the criteria of sustainable building rating systems. Construction Management and Economics, 29(04), 323–8.
- Type: Journal Article
- Keywords: building performance; certification; Germany; sustainable construction
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446193.2011.558105
- Abstract:
Various building rating systems have been developed to assess the ?green? or sustainable performance of buildings. Most systems make use of hierarchical criteria systems to evaluate the buildings with respect to the different aspects of sustainability. Often, these criteria show complex interdependencies between each other. Taking the German building rating system as an example, the Decision?Making Trial and Evaluation Laboratory (DEMATEL) method is used to analyse such interdependencies and to characterize the criteria. Users of the rating system might benefit from this information, e.g. when focusing on cause criteria counting on that an improvement there will also result in improvements of dependent criteria. Rating system developers might remove strongly related criteria and correct the criteria weighting for identified interdependencies.
Hongliang, Z, Xiangzhen, H and Ying, W (2001) China's construction regulatory systems. Building Research & Information, 29(04), 265–9.
Hu, K, Rahmandad, H, Smith‐Jackson, T and Winchester, W (2011) Factors influencing the risk of falls in the construction industry: a review of the evidence. Construction Management and Economics, 29(04), 397–416.
Issa, M H, Attalla, M, Rankin, J H and Christian, A J (2011) Energy consumption in conventional, energy‐retrofitted and green LEED Toronto schools. Construction Management and Economics, 29(04), 383–95.
Kongchasing, N and Sua-iam, G (2022) The main issue working with migrant construction labor: a case study in Thailand. Engineering, Construction and Architectural Management, 29(04), 1715-30.
Liang, H and Shi, X (2022) Exploring the structure and emerging trends of construction health management: a bibliometric review and content analysis. Engineering, Construction and Architectural Management, 29(04), 1861-89.
Ling, F Y-Y and Boo, J H S (2001) Improving the accuracy estimates of building of approximate projects. Building Research & Information, 29(04), 311–8.
Luo, J, Gale, A and He, X (2001) Investing in the Chinese industry via joint ventures construction. Building Research & Information, 29(04), 277–85.
Rousseau, D and Chen, Y (2001) Sustainability options for China's residential building sector. Building Research & Information, 29(04), 293–301.
Sandanayake, M, Kumanayake, R and Peiris, A (2022) Environmental impact assessments during construction stage at different geographic levels – a cradle-to-gate analysis of using sustainable concrete materials. Engineering, Construction and Architectural Management, 29(04), 1731-52.
Schade, J, Olofsson, T and Schreyer, M (2011) Decision‐making in a model‐based design process. Construction Management and Economics, 29(04), 371–82.
Sha, K and Lin, S (2001) Reforming China's state-owned enterprises construction. Building Research & Information, 29(04), 270–6.
Shirong, L (2001) China's construction education in higher transition. Building Research & Information, 29(04), 302–11.
Sierra, F (2022) COVID-19: main challenges during construction stage. Engineering, Construction and Architectural Management, 29(04), 1817-34.
Sun, J, Wang, C C, Yang, Z, Yu, T, Li, J and Xiong, X (2022) Impact of organizational decentralization degree on job satisfaction and job performance: a hierarchical linear model analysis for construction projects. Engineering, Construction and Architectural Management, 29(04), 1642-60.
Thneibat, M, Thneibat, M and Al-Tamimi, B (2022) Establishing the synergy between the perceptions of construction professionals and the phases of value management. Engineering, Construction and Architectural Management, 29(04), 1835-60.
To, W M and Lam, K H (2022) Green project management from employees' perspective in Hong Kong's engineering and construction sectors. Engineering, Construction and Architectural Management, 29(04), 1890-907.
Wang, L and Cheng, Y (2022) Exploring a comprehensive knowledge map for promoting safety management research in the construction industry. Engineering, Construction and Architectural Management, 29(04), 1678-714.
Yeh, H-H H (2011) Adjustment behaviour of capital structure over the business cycles: evidence from the construction industry of Taiwan. Construction Management and Economics, 29(04), 329–40.
Yin, H, Wang, D, Yin, Y, Liu, H and Deng, B (2022) Response of contractor behavior to hierarchical governance: effects on the performance of mega-projects. Engineering, Construction and Architectural Management, 29(04), 1661-77.
Zhao, Y, Chen, W, Arashpour, M, Yang, Z, Shao, C and Li, C (2022) Predicting delays in prefabricated projects: SD-BP neural network to define effects of risk disruption. Engineering, Construction and Architectural Management, 29(04), 1753-76.