Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 24 results ...
Ahadzie, D K, Proverbs, D G, Olomolaiye, P O and Ankrah, N (2009) Towards developing competency-based measures for project managers in mass house building projects in developing countries. Construction Management and Economics, 27(01), 89–102.
Al-Kharashi, A and Skitmore, M (2009) Causes of delays in Saudi Arabian public sector construction projects. Construction Management and Economics, 27(01), 3–23.
Bageis, A S and Fortune, C (2009) Factors affecting the bid/no bid decision in the Saudi Arabian construction contractors. Construction Management and Economics, 27(01), 53–71.
Burford, N K and Smith, F W (1999) Developing a new military shelter system: a case study in innovation. Building Research & Information, 27(01), 35–55.
Daget, Y T and Zhang, H (2019) Decision-making model for the evaluation of industrialized housing systems in Ethiopia. Engineering, Construction and Architectural Management, 27(01), 296–320.
Du, J, Jing, H, Castro-Lacouture, D and Sugumaran, V (2019) Multi-agent simulation for managing design changes in prefabricated construction projects. Engineering, Construction and Architectural Management, 27(01), 270–95.
Durdyev, S, Hosseini, M R, Martek, I, Ismail, S and Arashpour, M (2019) Barriers to the use of integrated project delivery (IPD): a quantified model for Malaysia. Engineering, Construction and Architectural Management, 27(01), 186–204.
Han, J, Rapoport, A and Fong, P S (2019) Incentive structures in multi-partner project teams. Engineering, Construction and Architectural Management, 27(01), 49–65.
Hossain, L (2009) Communications and coordination in construction projects. Construction Management and Economics, 27(01), 25–39.
Hwang, B, Zhao, X and Lim, J (2019) Job satisfaction of project managers in green construction projects. Engineering, Construction and Architectural Management, 27(01), 205–26.
Lam, P T I and Wong, F W H (2009) Improving building project performance: how buildability benchmarking can help. Construction Management and Economics, 27(01), 41–52.
Leaman, A and Bordass, B (1999) Productivity in buildings: the 'killer' variables. Building Research & Information, 27(01), 4–19.
Liao, X, Lee, C Y and Chong, H (2019) Contractual practices between the consultant and employer in Chinese BIM-enabled construction projects. Engineering, Construction and Architectural Management, 27(01), 227–44.
Liu, S, Jin, H, Liu, C, Xie, B and Mills, A (2019) Government compensation and costs of non-competition guarantee for PPP rental retirement villages. Engineering, Construction and Architectural Management, 27(01), 128–49.
Mahamadu, A, Manu, P, Mahdjoubi, L, Booth, C, Aigbavboa, C and Abanda, F (2019) The importance of BIM capability assessment. Engineering, Construction and Architectural Management, 27(01), 24–48.
Moohialdin, A S M, Lamari, F, Miska, M and Trigunarsyah, B (2019) Construction worker productivity in hot and humid weather conditions. Engineering, Construction and Architectural Management, 27(01), 83–108.
Ozyurt, B, Dikmen, I and Birgonul, M T (2019) Clustering of host countries to facilitate learning between similar international construction markets. Engineering, Construction and Architectural Management, 27(01), 66–82.
Papamichael, K (1999) Application of information technologies in building design decisions. Building Research & Information, 27(01), 20–34.
Sang, L, Xia, D, Ni, G, Cui, Q, Wang, J and Wang, W (2019) Influence mechanism of job satisfaction and positive affect on knowledge sharing among project members. Engineering, Construction and Architectural Management, 27(01), 245–69.
Sarhan, J G, Xia, B, Fawzia, S, Karim, A, Olanipekun, A O and Coffey, V (2019) Framework for the implementation of lean construction strategies using the interpretive structural modelling (ISM) technique. Engineering, Construction and Architectural Management, 27(01), 1–23.
Sezer, A A and Bröchner, J (2019) Site managers’ ICT tools for monitoring resources in refurbishment. Engineering, Construction and Architectural Management, 27(01), 109–27.
Wang, D, Fu, H and Fang, S (2019) The efficacy of trust for the governance of uncertainty and opportunism in megaprojects. Engineering, Construction and Architectural Management, 27(01), 150–67.
Wang, Y, Liu, J, Zuo, J and Rameezdeen, R (2019) Ways to improve the project management efficiency in a centralized public procurement system. Engineering, Construction and Architectural Management, 27(01), 168–85.
Yun, S and Caldas, C H (2009) Analysing decision variables that influence preliminary feasibility studies using data mining techniques. Construction Management and Economics, 27(01), 73–87.
- Type: Journal Article
- Keywords: data mining; feasibility; infrastructure; forecasting
- ISBN/ISSN: 0144-6193
- URL: https://doi.org/10.1080/01446190802596246
- Abstract:
The development of infrastructure contributes to the social and economic improvement of a country, and generally requires huge and immediate investments. To decide on appropriate infrastructure projects, many countries use preliminary feasibility studies (PFS). However, a preliminary feasibility study takes a relatively long time to complete. During this time, decision-making parameters such as the estimated project cost as well as the project environment may change. To identify the decision parameters that affect the feasibility analysis, data mining techniques are applied to analyse the Go/No Go decision-making process in infrastructure projects. The data mining analysis uses PFS data obtained from large-scale infrastructure projects in Korea. Classification models found 57 hidden rules in the PFS. Prediction models were also developed for Go/No Go decision making using an artificial neural network (ANN) and logistic regression analysis. In order to validate the results, the study evaluated the accuracies and errors of both the classification and the prediction model.