Cost Estimation Methods for Transport Infrastructure: A Systematic Literature Review

Barakchi, Moein; Torp, Olav; Belay, Alemu Moges

doi:10.1016/j.proeng.2017.07.199

Cited by 35 publications

(38 citation statements)

References 28 publications

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“…Moreover, other systematic reviews were searched to clarify the similarity of the review. From the search, Barakchi et al (2017), Hashemi et al (2020) and Membah & Asa (2015) published systematic reviews in construction projects. However, this systematic review differs from preview reviews (Barakchi et al, 2017;Membah & Asa, 2015;Tayefeh Hashemi et al, 2020) because this review has different objectives and using different databases.…”

Section: Results Scopingmentioning

confidence: 99%

“…From the search, Barakchi et al (2017), Hashemi et al (2020) and Membah & Asa (2015) published systematic reviews in construction projects. However, this systematic review differs from preview reviews (Barakchi et al, 2017;Membah & Asa, 2015;Tayefeh Hashemi et al, 2020) because this review has different objectives and using different databases. While all the reviews have an objective to support and improve cost estimation research, each review explored different approaches.…”

Section: Results Scopingmentioning

confidence: 99%

“…The majority of cost estimation research discussed various cost estimation methods such as fuzzy expert system, cost estimation under uncertainty, building information modelling (BIM) software programs, structural equation method (SEM), expert's judgment, Monte Carlo simulation, historical data, case-based reasoning (CBR), artificial neural networks (ANNs), parametric, and unit cost (Barakchi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

“…In recent years, there were probably only three articles reviewed systematically within the area of cost estimation in the construction industry published in academic journals (Barakchi et al, 2017;Membah & Asa, 2015;Tayefeh Hashemi et al, 2020). However, these systematic reviews were conducted based on different research objectives.…”

Section: Introductionmentioning

confidence: 99%

“…Membah & Asa (2015) review emphasized factors that contribute to cost underestimation and risks in cost estimation. Barakchi et al (2017) focused on cost estimation methods. The review from Hashemi et al (2020) focused on the cost estimation method, especially in machine learning techniques.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Cost Estimation Performance in the Construction Projects: A Systematic Review and Future Directions

Waffy

Lee

Fadzline

2021

IJIM

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Cost estimation in construction project is very critical for avoiding cost overrun in the project. This paper aims to provide a basis for improving cost estimation performance in construction through a systematic review of previous studies for last 31 years. The papers have identified a total of 238 construction cost estimation papers in 23 journals. Only 33 papers focused on factors influencing the performance of cost estimation. These papers were then analyzed, synthesized, and summarized in terms of the distribution across countries and citation influences. The factors of cost estimation performance were clustered to several themes with most of the factors in control themes. The factors in control themes are cluttered based on Organizational Control Theory (OCT). However, control themes provide less conceptual basis and dynamic to explain cost estimation performance and relationship among the factors. Therefore, this study reclassified other factors of cost estimation performance with reference to Contingency Theory (CT) and Task-Technology Fit Theory (TTFT). Hence, a new framework with relationship among the factors and cost estimation performance was developed. Further development and research of using the CT and TTFT frameworks were also discussed.

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