4.
0 Impact on Speed of Cost Estimation
(2.5 pages, with APA 7th edition in-text citations)
Speed in cost estimation refers to the time efficiency achieved in generating cost plans, bills of
quantities, and tender documentation. In fast-paced construction markets, reducing estimation
time without compromising accuracy is critical. Software plays a key role by automating
repetitive tasks, enabling real-time updates, and accelerating data processing. This section
explains how software improves the speed of estimation through five core functions: automated
quantity takeoff, integrated rate application, instant revisions, BIM integration, and reduction of
manual duplication.
4.1 Automated Quantity Takeoff
Automated takeoff tools allow estimators to extract dimensions directly from digital drawings.
Software such as CostX and Cubit supports on-screen measurement, linking dimensions to cost
items in real time. This eliminates the need to manually read plans, measure with scale rulers,
and transfer figures into pricing sheets.
For example, in CostX, once a drawing is loaded, the user can measure areas, lengths, and counts
with point-and-click accuracy. These are then linked to rate libraries, generating instant cost
feedback. According to Perera et al. (2020), this process reduces takeoff time by up to 60%
compared to traditional methods. This benefit is especially significant for large, repetitive
projects like housing estates or commercial complexes, where measurement tasks are time-
intensive.
4.2 Integrated Rate Application
Software speeds up the application of rates by using pre-defined libraries of materials, labor,
plant, and overhead costs. These libraries are stored within the system and can be updated
periodically. When quantities are linked to these rates, the total cost is calculated instantly.
Tools like Candy and WinQS allow estimators to build custom rate databases. Once a rate is
created, it can be applied across multiple items or projects, saving time during recurring tasks.
Aibinu and Pasco (2008) observed that structured rate databases improved consistency and
allowed estimators to handle more pricing tasks within limited timeframes.
In Excel-based systems, custom formulas and lookup functions perform similar tasks, though
with higher risk of human error or formula misapplication. Dedicated software eliminates that
risk and improves speed by automating calculations and applying rates without repeated manual
input (Babalola et al., 2019).
4.3 Instant Revisions and Live Updating
Another major speed advantage is the ability to revise estimates instantly when design or scope
changes occur. Traditional methods require full re-calculation and re-typing of reports. With
software, changes in dimensions or scope automatically reflect in linked pricing and output
documents.
In BIM-integrated tools, when the model is updated by designers, linked quantities and cost
estimates update in real time. This feature is critical in projects with evolving design stages or
frequent change orders. Olatunji (2011) highlighted that in BIM environments, the estimation
process becomes continuous rather than sequential, eliminating lag time between design updates
and cost feedback.
Moreover, tools like CostOS and Revit plug-ins allow for "live estimation" where the design
team receives immediate cost implications of proposed changes, enabling faster decision-making
and cost control.
4.4 Integration with BIM for Faster Workflows
Software that integrates with BIM enhances speed by removing the need for re-measurement and
reducing interpretation errors. BIM models contain embedded data such as materials,
dimensions, and specifications. Estimation tools extract these parameters directly, skipping the
need to manually quantify each element.
Revit, when linked with cost estimation tools, supports 5D modeling, where cost becomes the
fifth dimension in addition to time and design. Sanni and Hashim (2017) reported that integrated
BIM-estimation reduced tender preparation time by 40% on average in large-scale institutional
projects. This gain comes from seamless model-based quantity extraction and rate application.
Furthermore, BIM-based tools allow multiple stakeholders (designers, estimators, planners) to
work simultaneously on the same model. This parallel workflow accelerates the entire pre-
construction phase.
4.5 Elimination of Manual Duplication
Manual cost estimation involves entering the same data into multiple documents: measurement
sheets, pricing formats, and summary reports. This repetition wastes time and introduces
inconsistencies. Software eliminates duplication by centralizing data entry.
For instance, in Candy, once quantities and rates are entered, all associated outputs such as cost
plans, elemental analyses, and tender summaries are generated automatically. Estimators no
longer need to recompile each document separately. Perera et al. (2020) found that this
centralization reduced documentation time by 50% and improved consistency across outputs.
Time saved through this central process allows professionals to focus on strategic tasks such as
cost benchmarking, sensitivity analysis, and risk evaluation. These high-level inputs are critical
in competitive bidding and client advisory services.
Conclusion
Software transforms cost estimation from a sequential, labor-intensive process into a fast,
dynamic, and responsive workflow. By automating quantity takeoff, streamlining rate
application, and integrating design updates, software reduces the time required for producing
accurate and professional cost outputs. Speed improvements allow firms to respond to tenders
faster, revise estimates quickly, and support better decision-making. As project timelines tighten
and client demands increase, speed gained through software becomes a competitive advantage in
quantity surveying practice.
References
Aibinu, A. A., & Pasco, T. (2008). The accuracy of pre-tender building cost estimates in
Australia. Construction Management and Economics, 26(12), 1257–1269.
https://doi.org/10.1080/01446190802596227
Babalola, O., Ayegba, F., & Ogunsemi, D. (2019). Software usage in cost estimation practice: A
study of quantity surveyors in Nigeria. Nigerian Journal of Environmental Sciences and
Technology, 3(1), 95–104.
Olatunji, O. A. (2011). The impact of BIM on construction projects in the UK. Journal of Civil
Engineering and Management, 17(1), 107–115. https://doi.org/10.3846/13923730.2011.555471
Perera, S., Nanayakkara, S., & Rodrigo, M. N. N. (2020). Adoption of cost estimation software
in construction: A review of critical success factors. Journal of Financial Management of
Property and Construction, 25(3), 309–328. https://doi.org/10.1108/JFMPC-01-2020-0005
Sanni, A., & Hashim, M. (2017). A review of the integration of building information modeling
and cost estimating in construction. International Journal of Built Environment and
Sustainability, 4(3), 148–156. https://doi.org/10.11113/ijbes.v4.n3.207
Ready for Section 5.0: Impact on Productivity of Quantity Surveyors?
