Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 17 results ...

Barraza, G A, Back, W E and Mata, F (2004) Probabilistic Forecasting of Project Performance Using Stochastic S Curves. Journal of Construction Engineering and Management, 130(01), 25–32.

Bonnal, P, Gourc, D and Lacoste, G (2004) Where Do We Stand with Fuzzy Project Scheduling?. Journal of Construction Engineering and Management, 130(01), 114–23.

Chan, A P C, Scott, D and Chan, A P L (2004) Factors Affecting the Success of a Construction Project. Journal of Construction Engineering and Management, 130(01), 153–5.

Cho, Y, Haas, C T, Sreenivasan, S V and Liapi, K (2004) Position Error Modeling for Automated Construction Manipulators. Journal of Construction Engineering and Management, 130(01), 50–58.

Deng, X, Ding, S and Tian, Q (2004) Reasons underlying a mandatory high penalty construction contract bonding system. Journal of Construction Engineering and Management, 130(01), 67–74.

Dikmen, I and Birgonul, M T (2004) Neural Network Model to Support International Market Entry Decisions. Journal of Construction Engineering and Management, 130(01), 59–66.

Dzeng, R J, Wang, W C and Tserng, H P (2004) Module-Based Construction Schedule Administration for Public Infrastructure Agencies. Journal of Construction Engineering and Management, 130(01), 5–14.

Elazouni, A M and Gab-Allah, A A (2004) Finance-Based Scheduling of Construction Projects Using Integer Programming. Journal of Construction Engineering and Management, 130(01), 15–24.

Ford, D N, Anderson, S D, Damron, A J, de Las Casas, R, Gokmen, N and Kuennen, S T (2004) Managing Constructibility Reviews to Reduce Highway Project Durations. Journal of Construction Engineering and Management, 130(01), 33–42.

Goodrum, P M and Haas, C T (2004) Long-Term Impact of Equipment Technology on Labor Productivity in the U.S. Construction Industry at the Activity Level. Journal of Construction Engineering and Management, 130(01), 124–33.

Hauck, A J, Walker, D H T, Hampson, K D and Peters, R J (2004) Project Alliancing at National Museum of Australia—Collaborative Process. Journal of Construction Engineering and Management, 130(01), 143–52.

Ho, S P and Liu, L Y (2004) Analytical Model for Analyzing Construction Claims and Opportunistic Bidding. Journal of Construction Engineering and Management, 130(01), 94–104.

Ling, F Y Y, Chan, S L, Chong, E and Ee, L P (2004) Predicting Performance of Design-Build and Design-Bid-Build Projects. Journal of Construction Engineering and Management, 130(01), 75–83.

Marzouk, M and Moselhi, O (2004) Multiobjective Optimization of Earthmoving Operations. Journal of Construction Engineering and Management, 130(01), 105–13.

Shapira, A (2004) Work Inputs and Related Economic Aspects of Multitier Shoring Towers. Journal of Construction Engineering and Management, 130(01), 134–42.

Shr, J and Chen, W T (2004) Setting Maximum Incentive for Incentive/Disincentive Contracts for Highway Projects. Journal of Construction Engineering and Management, 130(01), 84–93.

Treloar, G J, Love, P E D and Crawford, R H (2004) Hybrid Life-Cycle Inventory for Road Construction and Use. Journal of Construction Engineering and Management, 130(01), 43–49.

  • Type: Journal Article
  • Keywords: Life cycles; Inventories; Hybrid methods; Road construction; road building; construction; life cycle costing; civil engineering; environmental factors;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:1(43)
  • Abstract:
    Life-cycle assessment (LCA) is a technique that is used worldwide by clients and their design team to assess the impact of their projects on the environment. The main advantage of LCA is in supporting decision making with quantitative data. LCA inventories can be either fully developed or streamlined. Fully developed LCAs are time-consuming and costly to prepare. Streamlined LCAs can be used as an effective decision-making tool when considering environmental performance during the design process, but with a loss of inventory completeness. Acknowledging the advantages and disadvantages of both types of LCA, this paper proposes a hybrid LCA method that uses input-output data to fill in those gaps routinely left in conventional LCA inventories. The developed hybrid LCA method is demonstrated using a life-cycle energy study of eight different road designs, including vehicle manufacture, maintenance, replacement, and operation. It was found that the road construction process was initially the most important, but in the long run the manufacture, use, and maintenance of vehicles using the road (which are an inevitable consequence of road construction) became paramount.