Abstracts – Browse Results
Click on the titles below to expand the information about each abstract.
Viewing 15 results ...
Asgari, S, Afshar, A and Madani, K (2014) Cooperative Game Theoretic Framework for Joint Resource Management in Construction. Journal of Construction Engineering and Management, 140(03).
Baccarini, D and Love, P E D (2014) Statistical Characteristics of Cost Contingency in Water Infrastructure Projects. Journal of Construction Engineering and Management, 140(03).
Blomberg, D, Cotellesso, P, Sitzabee, W and Thal, A E (2014) Discovery of Internal and External Factors Causing Military Construction Cost Premiums. Journal of Construction Engineering and Management, 140(03).
Bowen, P, Edwards, P, Lingard, H and Cattell, K (2014) Predictive Modeling of Workplace Stress among Construction Professionals. Journal of Construction Engineering and Management, 140(03).
Bowen, P, Edwards, P, Lingard, H and Cattell, K (2014) Workplace Stress, Stress Effects, and Coping Mechanisms in the Construction Industry. Journal of Construction Engineering and Management, 140(03).
Chai, C, de Brito, J, Gaspar, P L and Silva, A (2014) Predicting the Service Life of Exterior Wall Painting: Techno-Economic Analysis of Alternative Maintenance Strategies. Journal of Construction Engineering and Management, 140(03).
Chiang, Y H, Zhou, L, Li, J, Lam, P T I and Wong, K W (2014) Achieving Sustainable Building Maintenance through Optimizing Life-Cycle Carbon, Cost, and Labor: Case in Hong Kong. Journal of Construction Engineering and Management, 140(03).
Cirilovic, J, Vajdic, N, Mladenovic, G and Queiroz, C (2014) Developing Cost Estimation Models for Road Rehabilitation and Reconstruction: Case Study of Projects in Europe and Central Asia. Journal of Construction Engineering and Management, 140(03).
- Type: Journal Article
- Keywords: Construction costs; Maintenance; Reconstruction; Rehabilitation; Neural networks; Highways and roads; Statistics; Europe; Asia; Construction costs; Maintenance costs; Reconstruction; Rehabilitation; Neural networks; Correlation; Regression analysis; Regre
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000817
- Abstract:
This paper presents the development of prediction models for the unit costs of road works that could be applied to strategic planning of road works at the network level. A specialized data set was used, which was generated under a World Bank study that included 200 road work contracts from 14 countries in Europe and Central Asia (ECA) and signed between 2000 and 2010. Two techniques were used for model development: multiple regression analysis and artificial neural networks. Classification trees were used as an intermediate step to evaluate the correctness of the selected parameters. A total of 19 variables, divided into three groups (oil-price related, country-related, and project-related variables), were tested for their influence on unit cost of asphalt concrete (AC) and road rehabilitation and reconstruction (RRR) costs. The analysis results showed that the level of corruption and the economic environment in a country have a significant effect on both costs of AC and RRR. The resulting models could be particularly useful for the planning and optimization of work on road networks in ECA countries. However, the approach and methodology used for model developments may be applied generally.
Fan, S (2014) Intellectual Property Rights in Building Information Modeling Application in Taiwan. Journal of Construction Engineering and Management, 140(03).
Gao, T, Ergan, S, Akinci, B and Garrett, J H (2014) Proactive Productivity Management at Job Sites: Understanding Characteristics of Assumptions Made for Construction Processes during Planning Based on Case Studies and Interviews. Journal of Construction Engineering and Management, 140(03).
Jafarzadeh, R, Wilkinson, S, González, V, Ingham, J M and Amiri, G G (2014) Predicting Seismic Retrofit Construction Cost for Buildings with Framed Structures Using Multilinear Regression Analysis. Journal of Construction Engineering and Management, 140(03).
Karan, E P, Sivakumar, R, Irizarry, J and Guhathakurta, S (2014) Digital Modeling of Construction Site Terrain Using Remotely Sensed Data and Geographic Information Systems Analyses. Journal of Construction Engineering and Management, 140(03).
Leung, M, Yu, J and Chan, Y S (2014) Focus Group Study to Explore Critical Factors of Public Engagement Process for Mega Development Projects. Journal of Construction Engineering and Management, 140(03).
Malone, E K and Issa, R R (2014) Predictive Models for Work-Life Balance and Organizational Commitment of Women in the U.S. Construction Industry. Journal of Construction Engineering and Management, 140(03).
Oviedo-Haito, R J, Jiménez, J, Cardoso, F F and Pellicer, E (2014) Survival Factors for Subcontractors in Economic Downturns. Journal of Construction Engineering and Management, 140(03).