Conceptual Cost Estimation Model for Engineering Services in Public Construction Projects

Khaled Hesham Hyari · Ahmad A. Al-Daraiseh · Mohammad S. El-Mashaleh

50 citations0/0 files storedJournal of Management in Engineering

No readable copy stored yet — this record is metadata only.

No open-access location is known for this record yet.

Literature note Cite in a project Citation map

Construction Project Management and Performance BIM and Construction Integration Value Engineering and Management

Abstract

Cost estimation for public projects includes, but is not limited to, construction costs and engineering services costs. The available cost estimation models for these projects focus on the construction phase, with little or no consideration given to engineering services. This paper presents an artificial neural network model for the conceptual cost estimation of engineering services for public construction projects that considers both design costs and construction supervision costs. In developing the model, the authors first identify the factors that influence the cost of engineering services, and then apply a suitable artificial neural network for a cost estimation model. The model predicts the cost of engineering services as a percentage of construction cost based on project type, engineering services category, project location, and project scope. The model is trained on a data set obtained from the Governmental Tenders Department in Jordan, and then tested on some core data samples that had not been seen by the network during training. The optimal network for the model was selected by conducting a systematic search among a large number of networks with different network architectures and parameter values. The findings demonstrate that the model is able to predict the cost of engineering services with an acceptable performance for conceptual cost estimation models. The present model complements existing models that focus on construction cost estimating by adding in the cost of engineering services. The authors expect that this work will contribute to supporting public construction planners in the early development of total cost estimates for public construction projects.

Paper brief

Loading…

Cite this work

Citation unavailable for this work.

BibTeX RIS CSL-JSON

No public copy is stored for this record, so only the metadata is cited.

Citations in this library

Citation map →

Stored only when both papers are in the corpus — 50 citations exist upstream.

References

1998Neural Network Model for Parametric Cost Estimation of Highway Projects 2004A neural network approach for early cost estimation of structural systems of buildings 2002Data modelling and the application of a neural network approach to the prediction of total construction costs 2004Neural network model incorporating a genetic algorithm in estimating construction costs 2010Early Stage Cost Estimation of Buildings Construction Projects using Artificial Neural Networks 2005COST ESTIMATION OF HIGHWAY PROJECTS IN DEVELOPING COUNTRIES: ARTIFICIAL NEURAL NETWORK APPROACH 2000Are competitive fee tendering and construction professional service quality mutually exclusive?

Cited by

2017A hybrid conceptual cost estimating model using ANN and GA for power plant projects

Explore the map →

Papers that cite the same references — the relational fallback while embeddings are still backfilling.

Imported from OpenAlex (CC0) — nothing here is generated.