Affiliation:
1. School of Civil Engineering, Aristotle University of Thessaloniki, Thessaloniki,Greece
Abstract
Over the last few years, a plethora of public works have taken place, focusing towards urban renewal, in the greater Thessaloniki district. Municipality of Thessaloniki, provided data for twelve public projects of urban renewal. Mathematical models have been proposed for cost and time prediction based on regression analysis. Furthermore, the Fast Artificial Neural Network (FANN Tool) was applied, to predict the duration and the final cost of the project, using volume of earthwork, as input variable. Both approaches could facilitate project stakeholders, to forecast the projects' final delivery date and cost and provide early warnings for any deviation from the initial budget. The results indicate that neural networks perform better than regression analysis' models, in the case of urban renewal projects.
Reference44 articles.
1. Empirical Assessment of the Likelihood and Duration of Highway Project Time Delays
2. Antoniou, E. A., Aretoulis, G. N., & Kalfakakou, G. P. (2011). Content and applications of artificial intelligence for cost management in civil engineering projects. Proceedings of the sixth International Conference on Construction in the 21st Century, Construction Challenges in the New Decade, Kuala Lumpur, Malaysia.
3. An empirical study of researchers' and practitioners' views on compensating major highway project contractors
4. Analytical formulation for early cost estimation and material consumption of road overpass bridges. Research Journal of Applied Sciences;F.Antoniou;Engineering and Technology,2016
5. Application of the multi attribute utility theory for the selection of project procurement system for Greek highway projects
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