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Al-Kheetan, M J, Rahman, M M and Chamberlain, D A (2018) Remediation and protection of masonry structures with crystallising moisture blocking treatment. International Journal of Building Pathology and Adaptation, 36(01), 77–92.

Ali, A S, Azmi, N F and Baaki, T K (2018) Cost performance of building refurbishment works: the case of Malaysia. International Journal of Building Pathology and Adaptation, 36(01), 41–62.

Andersen, L P, Nørdam, L, Joensson, T, Kines, P and Nielsen, K J (2018) Social identity, safety climate and self-reported accidents among construction workers. Construction Management and Economics, 36(01), 22-31.

Bourgeois, D, Reinhart, C F and Ward, G (2008) Standard daylight coefficient model for dynamic daylighting simulations. Building Research & Information, 36(01), 68–82.

Enshassi, A, Ayash, A and Mohamed, S (2018) Key barriers to the implementation of energy-management strategies in building construction projects. International Journal of Building Pathology and Adaptation, 36(01), 15–40.

Gaspar, P L and Brito, J D (2008) Service life estimation of cement-rendered facades. Building Research & Information, 36(01), 44–55.

Hietajärvi, A-M and Aaltonen, K (2018) The formation of a collaborative project identity in an infrastructure alliance project. Construction Management and Economics, 36(01), 1-21.

Hosseini, M R, Roelvink, R, Papadonikolaki, E, Edwards, D J and Pärn, E (2018) Integrating BIM into facility management. International Journal of Building Pathology and Adaptation, 36(01), 2–14.

Lindelöf, D and Morel, N (2008) Bayesian estimation of visual discomfort. Building Research & Information, 36(01), 83–96.

Ogbeifun, E, Mbohwa, C and Pretorius, J C (2018) Developing an effective renovation plan: the influence of data collection tools. International Journal of Building Pathology and Adaptation, 36(01), 63–76.

Opawole, A and Jagboro, G O (2018) Compensation mechanisms for minimizing private party risks in concession-based public-private partnership contracts. International Journal of Building Pathology and Adaptation, 36(01), 93–120.

Pan, W, Gibb, A G F and Dainty, A R J (2008) Leading UK housebuilders' utilization of offsite construction methods. Building Research & Information, 36(01), 56–67.

Peltokorpi, A, Olivieri, H, Granja, A D and Seppänen, O (2018) Categorizing modularization strategies to achieve various objectives of building investments. Construction Management and Economics, 36(01), 32-48.

Pivo, G (2008) Responsible property investment criteria developed using the Delphi Method. Building Research & Information, 36(01), 20–36.

Sha, K, Yang, J and b, R S (2008) Competitiveness assessment system for China's construction industry. Building Research & Information, 36(01), 97–109.

Sundquist, V, Gadde, L-E and Hulthén, K (2018) Reorganizing construction logistics for improved performance. Construction Management and Economics, 36(01), 49-65.

Tam, V W Y and Tam, C M (2008) Waste reduction through incentives: a case study. Building Research & Information, 36(01), 37–43.

Yang, W and Kohler, N (2008) Simulation of the evolution of the Chinese building and infrastructure stock. Building Research & Information, 36(01), 1–19.

  • Type: Journal Article
  • Keywords: Building stock; infrastructure stock; life cycle analysis; resource consumption; sustainability; trend analysis; China
  • ISBN/ISSN: 0961-3218
  • URL: http://www.informaworld.com/openurl?genre=article&issn=0961-3218&volume=36&issue=1&spage=1
  • Abstract:
    During China's rapid urbanization and modernization process, the energy and mass flows as well as the related environmental impacts of the Chinese building and infrastructure stocks deserve attention due to the high volume of construction activity, the possibly short lifespan of the new constructions, and the increasing need for energy and construction materials, which have already led to severe environmental impacts. The objective of this study is to model the energy and material input and output through the construction and operation activities in the reference year (2005) to estimate future development during the ongoing urbanization process (until 2050) under present conditions (Trend scenario) and to formulate alternative scenarios with reduced resource consumption and environmental impacts. An integrated life cycle assessment (LCA) model is proposed by taking into account the material and energy flows and the related environmental impacts through a combined bottom-up and top-down approach. The historical evolution from 1978 to 2005 is analysed as a basis for the forecasting projections. The different age classes of the stock are modelled as cohorts classified by use and by type (urban/rural). The transitions of the key parameters follow a logistic function. The results show the possibilities and limitations of alternative long-term developments. The limitations of the model both in structure and input data are discussed.