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Akhavian, R and Behzadan, A H (2013) Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining. Journal of Construction Engineering and Management, 139(11).

Chou, J, Irawan, N and Pham, A (2013) Project Management Knowledge of Construction Professionals: Cross-Country Study of Effects on Project Success. Journal of Construction Engineering and Management, 139(11).

De Jarnette, V, McCarthy, L M, Bennert, T and Guercio, M C (2013) Use of Mechanistic-Empirical Pavement Design Principles to Assign Asphalt Pavement Pay Factor Adjustments. Journal of Construction Engineering and Management, 139(11).

El Asmar, M, Hanna, A S and Loh, W (2013) Quantifying Performance for the Integrated Project Delivery System as Compared to Established Delivery Systems. Journal of Construction Engineering and Management, 139(11).

Goedert, J D and Sekpe, V D (2013) Decision Support System–Enhanced Scheduling in Matrix Organizations Using the Analytic Hierarchy Process. Journal of Construction Engineering and Management, 139(11).

Hindman, D P, Timko, P D and Nussbaum, M A (2013) Mechanical Response of Unbraced Wood Composite I-Joist to Walking Loads. Journal of Construction Engineering and Management, 139(11).

Hwang, B and Soh, C K (2013) Trade-Level Productivity Measurement: Critical Challenges and Solutions. Journal of Construction Engineering and Management, 139(11).

Jiang, H, Xu, Y and Liu, C (2013) Construction Price Prediction Using Vector Error Correction Models. Journal of Construction Engineering and Management, 139(11).

Kang, Y, Kim, C, Son, H, Lee, S and Limsawasd, C (2013) Comparison of Preproject Planning for Green and Conventional Buildings. Journal of Construction Engineering and Management, 139(11).

• Type: Journal Article
• Keywords: Green buildings; Sustainable development; Construction costs; Project management; Green building; Sustainability; Preproject planning; Project Definition Rate Index; Cost performance;
• ISBN/ISSN: 0733-9364
• URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000760
• Abstract:
  The importance of green buildings has been frequently highlighted. However, barriers such as greater complexity, lack of understanding of sustainability, and the perception of a greater possibility of cost overrun have hindered the dissemination of green buildings. More planning efforts for green buildings can presumably help mitigate these barriers. This paper investigates preproject planning efforts for green and conventional building projects. Project-level data were collected (124 in total, 71 from conventional building projects and 53 from green building projects), with project data consisting of general information about the project, a Project Definition Rate Index (PDRI) survey, and cost performance. The project data were categorized into four groups based on their project type (green and conventional) and cost performance (actual cost on/under budget and over budget). For the four groups, a two-way analysis of variance test was used to compare the degree of preproject planning efforts measured by PDRI. The analysis indicated that green projects tend to have more investment in preproject planning efforts than conventional projects, and the difference was marginally statistically significant at the level of α=0.05. In addition, a comparison of the mean PDRI values of the four groups revealed that green projects with a superior cost performance invest more in preproject planning efforts than other groups, and the difference was statistically meaningful. From the interaction effect, we also found that the impact of preproject planning on cost performance is more critical for green projects than for conventional projects. Regarding the preproject planning category, we found that green projects with superior cost performance tend to involve more planning with regard to business strategy, project requirements, site information, building programming, and building/project design parameters. These findings make two contributions. First, the findings help practitioners justify additional preproject planning efforts for green projects. Second, some of the results of this study will be useful to practitioners initiating sustainable projects by helping with the determination of which aspects of green buildings should involve more extensive planning. These findings will help reduce the possibility of cost overruns and allow more green projects to be deployed in order to address the need for sustainability.

Leung, M, Yu, J and Liang, Q (2013) Improving Public Engagement in Construction Development Projects from a Stakeholder’s Perspective. Journal of Construction Engineering and Management, 139(11).

Ning, Y and Ling, F Y Y (2013) Reducing Hindrances to Adoption of Relational Behaviors in Public Construction Projects. Journal of Construction Engineering and Management, 139(11).

Pikas, E, Sacks, R and Hazzan, O (2013) Building Information Modeling Education for Construction Engineering and Management. II: Procedures and Implementation Case Study. Journal of Construction Engineering and Management, 139(11).

Praticò, F G (2013) New Road Surfaces: Logical Bases for Simple Quality-Related Pay Adjustments. Journal of Construction Engineering and Management, 139(11).

Sacks, R and Pikas, E (2013) Building Information Modeling Education for Construction Engineering and Management. I: Industry Requirements, State of the Art, and Gap Analysis. Journal of Construction Engineering and Management, 139(11).

Thomas, A, Davis, B, Dadi, G B and Goodrum, P M (2013) Case Study on the Effect of 690 mpa (100 ksi) Steel Reinforcement on Concrete Productivity in Buildings. Journal of Construction Engineering and Management, 139(11).

Won, J, Lee, G, Dossick, C and Messner, J (2013) Where to Focus for Successful Adoption of Building Information Modeling within Organization. Journal of Construction Engineering and Management, 139(11).