Examining barriers for the utilization of non-traditional cost estimating models in developing countries

Agyekum, Bismark; Kissi, Ernest; Agyemang, Daniel Yamoah; Badu, Eric

doi:10.1108/jedt-02-2018-0021

Cited by 4 publications

(2 citation statements)

References 24 publications

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“…According to Atinuke (2010), cost data is essential to quantity surveyors for future projects cost forecast, different projects cost comparisons, contractor's unit rates negotiations, monitoring and controlling of construction costs and design cost planning. Agyekum, et al (2018) portray that the unavailability of cost data is one of the key obstacles to the utilisation of non-traditional cost estimate models. According to Sayed, et al (2020), reliable cost data is needed to ensure accuracy and success in building construction cost estimates.…”

Section: Cost Data For Whole Life Costingmentioning

confidence: 99%

Availability of reliable cost data for whole life costing in the Tanzania building construction industry

Manege¹,

Kennedy²

2022

Proceedings of 10th World Construction Symposium 2022

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Whole life costing plays a major role in ensuring that value for money is attained from the inception of a building to its end of life. Availability of reliable cost data is essential ensuring that whole life costing is undertaken with utmost precision. This study explores the availability of reliable cost data for whole life costing in the Tanzania building construction industry. It aims at realising the key sources of cost data as well as analysing their reliability. It will also suggest ways to improve cost data availability in the industry. The research involved the use of questionnaire survey and structured interviews to collect data from quantity surveyors and other industry professionals respectively in Tanzania. The study revealed that in-house and market survey as the most familiar and most used sources of cost data in the Tanzania building construction industry. It also realised that running cost data, which are crucial for undertaking whole life costing, did not have a source in Tanzania which is contrary to other countries. The study also revealed that despite cost data sources being considered reliable, they still lacked credibility as most respondents still had doubts about them. To improve the availability of reliable cost data for whole life costing, the study suggests that the Tanzania building construction industry should adapt to the online information service which will ensure easy and fast access to reliable cost data. The industry should also engage in the collection and sharing of running cost data which is essential for whole life costing.

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Section: Cost Data For Whole Life Costingmentioning

confidence: 99%

Availability of reliable cost data for whole life costing in the Tanzania building construction industry

Manege¹,

Kennedy²

2022

Proceedings of 10th World Construction Symposium 2022

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“…The factors of cost estimation performance were summarized and clustered into shared dimensions which are shown in Table 3. (2000), Akintoye & Fitzgerald (2000), Al-Harbi et al (1994), Arif et al (2015), Doloi (2011), Enshassi et al (20050, Flyvbjerg et al (2002), Hatamleh et al (2018, Mahamid (2015) External stakeholder influence Akintoye (2000), Akintoye & Fitzgerald (2000), Al-Harbi et al (1994), Arif et al (2015), Chan & Park (2005), Dandan et al (2019), Doloi (2013), Enshassi et al (2005), Flyvbjerg et al (2002, Grau et al (2017), Hatamleh et al (2018, Mahamid (2015) Oberlender & Trost (2001, Sridarran et al (2017) The complexity of the contractual relationship Agyekum et al (2018), Akintoye (2000), Akintoye & Fitzgerald (2000), Al-Harbi et al (1994), Chan & Park (2005), Dulaimi & Shan (2002), Elhag et al (2005), Enshassi et al (2005), Mahamid (2015), Oberlender & Trost (2001) According to the systematic review, the factors were clustered into six main themes: input control, behavior control, output control, project complexity, task characteristic, and technology characteristic. Each of the themes is discussed below for a better understanding of the attribute of the themes.…”

Section: Finding Of the Systematic Reviewmentioning

confidence: 99%

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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Artificial intelligence-based pre-conception stage construction budget decision-making model and tool for residential buildings

Sadick,

Gurmu,

Gunarathna

2024

ECAM

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PurposeDeveloping a reliable cost estimate at the early stage of construction projects is challenging due to inadequate project information. Most of the information during this stage is qualitative, posing additional challenges to achieving accurate cost estimates. Additionally, there is a lack of tools that use qualitative project information and forecast the budgets required for project completion. This research, therefore, aims to develop a model for setting project budgets (excluding land) during the pre-conceptual stage of residential buildings, where project information is mainly qualitative.Design/methodology/approachDue to the qualitative nature of project information at the pre-conception stage, a natural language processing model, DistilBERT (Distilled Bidirectional Encoder Representations from Transformers), was trained to predict the cost range of residential buildings at the pre-conception stage. The training and evaluation data included 63,899 building permit activity records (2021–2022) from the Victorian State Building Authority, Australia. The input data comprised the project description of each record, which included project location and basic material types (floor, frame, roofing, and external wall).FindingsThis research designed a novel tool for predicting the project budget based on preliminary project information. The model achieved 79% accuracy in classifying residential buildings into three cost_classes ($100,000-$300,000, $300,000-$500,000, $500,000-$1,200,000) and F1-scores of 0.85, 0.73, and 0.74, respectively. Additionally, the results show that the model learnt the contextual relationship between qualitative data like project location and cost.Research limitations/implicationsThe current model was developed using data from Victoria state in Australia; hence, it would not return relevant outcomes for other contexts. However, future studies can adopt the methods to develop similar models for their context.Originality/valueThis research is the first to leverage a deep learning model, DistilBERT, for cost estimation at the pre-conception stage using basic project information like location and material types. Therefore, the model would contribute to overcoming data limitations for cost estimation at the pre-conception stage. Residential building stakeholders, like clients, designers, and estimators, can use the model to forecast the project budget at the pre-conception stage to facilitate decision-making.

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Examining barriers for the utilization of non-traditional cost estimating models in developing countries

Cited by 4 publications

References 24 publications

Availability of reliable cost data for whole life costing in the Tanzania building construction industry

Availability of reliable cost data for whole life costing in the Tanzania building construction industry

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

Artificial intelligence-based pre-conception stage construction budget decision-making model and tool for residential buildings

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