Journal articles: 'Estimating construction costs'

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Bacon, Robert W., and John E. Besant-Jones. "Estimating construction costs and schedules." Energy Policy 26, no. 4 (March 1998): 317–33. http://dx.doi.org/10.1016/s0301-4215(97)00164-x.

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Wilmot, C. G., and G. Cheng. "Estimating Future Highway Construction Costs." Journal of Construction Engineering and Management 129, no. 3 (June 2003): 272–79. http://dx.doi.org/10.1061/(asce)0733-9364(2003)129:3(272).

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Qasim, Syed R., Siang W. Daniel Lim, Edward M. Motley, and Kim G. Heung. "Estimating Costs for Treatment Plant Construction." Journal - American Water Works Association 84, no. 8 (August 1992): 56–62. http://dx.doi.org/10.1002/j.1551-8833.1992.tb07412.x.

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Le, Hang Thu Thi, Veerasak Likhitruangsilp, and Nobuyoshi Yabuki. "A BIM-DATABASE-INTEGRATED SYSTEM FOR CONSTRUCTION COST ESTIMATION." ASEAN Engineering Journal 11, no. 1 (March 16, 2021): 45–59. http://dx.doi.org/10.11113/aej.v11.16666.

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This paper presents a building information modeling (BIM)-database-integrated system for estimating the construction costs of building projects. The proposed system consists of four main modules: (1) the relational database management module, (2) the visualized BIM-integrated module, (3) the cost estimation module, and (4) the BIM-integrated report module. The relational database management module is designed to store and update the necessary data, which are extracted from BIM models. The visualized BIM-integrated module assists users in visualizing the complex building elements while performing cost estimating. The cost estimation module computes construction cost components. It can also automatically adjust to the change of the building element parameters while estimating costs. This module can minimize human errors associated with manual data input and calculation. The BIM-integrated report module allows users to access and comprehend the results conveniently. As compared to traditional 2D CAD drawings, the proposed system offers a more efficient methodology for construction cost estimating through 3D models. It can also minimize time, costs, and errors in the cost estimating process for building procurement.

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V. Montes, M., R. M. Falcón, and A. Ramírez-de-Arellano. "Estimating Building Construction Costs by Production Processes." Open Construction and Building Technology Journal 8, no. 1 (December 12, 2014): 171–81. http://dx.doi.org/10.2174/1874836801408010171.

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Building actors need accurate estimates in order to efficiently undertake the construction of buildings. The knowledge of real expected costs of construction works is a necessary condition for contractors to submit competitive tenders and for developers to be aware of the magnitude of their investment. In this paper, an innovative process-based model is presented, the POP model. This model aims at providing building actors with a systematized methodology to calculate building construction costs based on the planning, organization and scheduling of the expected works. Unlike the model of construction work units, the most widespread estimate model in Spain, the POP model comprises all construction costs in a direct way by identifying the production processes involved and the resources consumed, giving a new approach to the principles of the activity-based costing methodology in tune with the process-based cost models that are emerging in the international scene. Nowadays, the model is being applied in real construction works with satisfactory results of transparency, detail and adaptability. Not only reliable estimates are obtained, but also the performance of works is devised, allowing its optimization and control.

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Park, Sung-Chul, and Hee-Won Park. "Estimating on The Construction Costs for Public Kindergarten Buildings." Journal of Educational Environment Research 13, no. 1 (April 30, 2014): 1–14. http://dx.doi.org/10.7743/kiee.2014.13.1.001.

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Rajeh, Mohammed, John E. Tookey, and James Olabode Bamidele Rotimi. "Estimating transaction costs in the New Zealand construction procurement." Engineering, Construction and Architectural Management 22, no. 2 (March 16, 2015): 242–67. http://dx.doi.org/10.1108/ecam-10-2014-0130.

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Purpose – Within construction procurement, transaction cost economics offers a mechanism to understand “unseen” costs associated with the pre- and post-contract work. Pre-contract, these include costs related to information gathering and procurement. Post-contract they include activities of contract administration and enforcement. The purpose of this paper is to estimate the magnitude of transaction costs (TCs) for different procurement systems used in construction projects in New Zealand. Specifically estimating the relative values of TCs for Traditional and Design-Build delivery systems for the purpose of comparison. Design/methodology/approach – This study develops a conceptual model for the relationship between procurement systems and TC. The model was operationalized and developed into a questionnaire. A cross-sectional sample approach was deployed, involving pilot and survey questionnaires, and results verification through “real world” cases. Data were sought from construction professionals in management, design and operations (i.e. project managers, architects, engineers, quantity surveyors, and procurement officers). TCs were measured using time-spent conducting procurement-related activities as a surrogate for cost. Professionals evaluate their time-spent in procurement activities using a Likert scale 1-5, comparing the Traditional and Design-Build delivery systems. Data were triangulated with “real world” cases to test and explain the developed model. The test included validity and reliability, path analysis, regression analysis, factor analysis, and structural equation modelling (SEM). The primary analytical technique used was SEM to yield information on goodness-of-fit, model development and comparison, and confirmatory strategies. SPSS Amos 21 statistical software was used for data analysis and model development. Findings – The results suggest that procurement systems have indirect impact on TCs. The relationship between procurement system and TCs is fully mediated by costs of information, procurement, administration, and enforcement. Applying the developed models (the Traditional and Design-Build) to “real world” cases, it was found that TCs in the Traditional system amounts to 18.5 percent of the annual salary cost of a project manager (as an indicator quantum), while in the Design-Build system, it amounts to 14.5 percent of the annual salary cost of a project manager. TCs were calculated using regression equations based on factor loadings in the Traditional and Design-Build models. Practical implications – This study applies new theoretical model for the link between procurement system and TCs, investigating and empirically demonstrating the influence of procurement system on TCs in construction. It also offers a new plausible explanation for the factors influencing TCs in procurement. The study emphasizes “in-house” TCs from the perspective of the professionals. The findings have practical implications on construction business practice due to their robust empirical nature and theoretical framework, which might enhance the performance of the construction industry. Originality/value – This study contributes to the procurement selection in construction, by introducing a new conceptual model for the link between procurement system and TCs. It has extended the current practices for procurement selection by estimating TCs for the Traditional and Design-Build systems for comparison.

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Daniels, Ginger, William R. Stockton, and Robert Hundley. "Estimating Road User Costs Associated with Highway Construction Projects: Simplified Method." Transportation Research Record: Journal of the Transportation Research Board 1732, no. 1 (January 2000): 70–79. http://dx.doi.org/10.3141/1732-09.

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Road user costs (RUC) are defined as the estimated incremental daily costs to the traveling public resulting from the construction work being performed. Those costs are primarily time lost because of conditions such as detours/rerouting that add to travel time, reduced roadway capacity that slows travel speed and increases travel time, or a delay in the opening of a new or improved facility that prevents users from gaining travel time benefits. In Texas, RUC analyses and associated liquidated damages have been applied predominantly to high-profile urban freeway reconstruction projects, which are ideal candidates for RUC application because of the potential for very high motorist delay costs. A much wider range of projects involving the addition of capacity can be considered for RUC. Not all potential projects, however, are as complicated as urban freeway reconstruction efforts that require detailed simulation modeling to determine the value of RUC. The results of a research study that developed a manual technique for determining RUC are documented, along with associated liquidated damages for typical added-capacity and highway rehabilitation projects. The technique involves a series of look-up tables that provide RUC values on the basis of project type and a minimal number of project attributes. Two different approaches were employed: a before-and-after approach for added capacity projects and a during-versus-after-construction approach for rehabilitation projects.

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Akcay, Cemil, Selman Aslan, Baris Sayin, and Ekrem Manisalı. "Estimating OHS costs of building construction projects based on mathematical methods." Safety Science 109 (November 2018): 361–67. http://dx.doi.org/10.1016/j.ssci.2018.06.021.

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Kim, Gwang-Hee, Jie-Eon Yoon, Sung-Hoon An, Hun-Hee Cho, and Kyung-In Kang. "Neural network model incorporating a genetic algorithm in estimating construction costs." Building and Environment 39, no. 11 (November 2004): 1333–40. http://dx.doi.org/10.1016/j.buildenv.2004.03.009.

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Park, Young-Jun, and Chang-Yong Yi. "Resource-Based Quality Performance Estimation Method for Construction Operations." Applied Sciences 11, no. 9 (April 30, 2021): 4122. http://dx.doi.org/10.3390/app11094122.

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Construction quality is one of the primary management objectives relating to duration and cost for construction projects. Project managers struggle with minimizing duration and cost while maximizing quality for construction projects. In construction projects, duration and cost have management priorities. On the other hand, quality is considered a matter of achievement only when it reaches a certain level. Although the importance of quality control in construction management has been constantly discussed, it has still been sacrificed under the goal of shortening construction duration and reducing costs. This study presents a method for estimating the quantitative quality performance of construction operations in which the level of detail is breaking into the work task level for intuitive quality performance evaluation. For this purpose, quality weights of resources that have a proportional quality importance weight and quality performance indexes of resources are utilized for estimating the quantitative quality performance of construction operations. Quality performance estimation and the resource allocation optimization system is presented and validated using a construction simulation model.

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Pavopar, Milad. "Estimating impact of financial incentives on construction waste production." International Journal of Engineering & Technology 7, no. 2.13 (April 15, 2018): 322. http://dx.doi.org/10.14419/ijet.v7i2.13.13070.

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Due to destructive environmental effects of construction wastes and increasing amount of these wastes that are in conflict with sustainable development objectives, it is essential to adopt solutions in order to reduce such wastes regarding environment preservation. This study was conducted to examine impact of financial incentives on reducing construction wastes using pairwise comparisons. According to professional opinions and experience of experts in building industry based on the 7-point Likert scale, mean responses obtained to 4.93, 4.83, and 4.73 for waste materials (stone, tile, ceramic), ready mix concrete waste, and EPS (Expanded Polystyrene) waste, respectively. On the other hand, reliability of research instrument obtained at 0.77 using Cronbach’s alpha test. Moreover, it is seen that the studied materials in this research assigned 41% contribution of constructing costs to themselves; of them, fittings and tiles, ceramics and stone assigned the highest constructing cost to themselves with 12%contribution. In fact, waste of materials in projects under the “total price” contract 30-50% higher than projects under the “cost plus” contract. Increasing number of floors and area of construction project lead to average reduction in waste of materials from 4.4% to 1.4%. Change in regional price of housing will changes materials used in construction based on different prices.

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Lakusic, Stjepan. "Use of artificial intelligence for estimating cost of integral bridges." Journal of the Croatian Association of Civil Engineers 73, no. 03 (April 2021): 265–73. http://dx.doi.org/10.14256/jce.2831.2019.

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Estimation of costs is important in every phase of realisation of construction projects. However, the influence of cost estimation is the highest in early phases as it is then that the decision about accepting the job or withdrawing from the project is made. The quantity of data available in initial phases of the project is smaller compared to subsequent phases, which affects accuracy of cost estimation in such early phases. A research making use of artificial intelligence to estimate construction costs of integral road bridges is presented in the paper. The estimation model is prepared by means of neural networks. The best neural network model has proven to be highly accurate in the estimation of costs based on the mean absolute error, which amounts to 13.40 %.

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Sayadi, Ahmad Reza, Ali Lashgari, Mohammad Majid Fouladgar, and Miroslaw J. Skibniewski. "ESTIMATING CAPITAL AND OPERATIONAL COSTS OF BACKHOE SHOVELS." Journal of Civil Engineering and Management 18, no. 3 (June 29, 2012): 378–85. http://dx.doi.org/10.3846/13923730.2012.692705.

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Material loading is one of the most critical operations in earthmoving projects. A number of different equipment is available for loading operations. Project managers should consider different technical and economic issues at the feasibility study stage and try to select the optimum type and size of equipment fleet, regarding the production needs and project specifications. The backhoe shovel is very popular for digging, loading and flattening tasks. Adequate cost estimation is one of the most critical tasks in feasibility studies of equipment fleet selection. This paper presents two different cost models for the preliminary and detailed feasibility study stages. These models estimate the capital and operating cost of backhoe shovels using uni-variable exponential regression (UVER) as well as multi-variable linear regression (MVLR), based on principal component analysis. The UVER cost model is suitable for quick cost estimation at the early stages of project evaluation, while the MVLR cost function, which is more detailed, can be useful for the feasibility study stage. Independent variables of MVLR include bucket size, digging depth, dump height, weight and power. Model evaluations show that these functions could be a credible tool for cost estimations in prefeasibility and feasibility studies of mining and construction projects.

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Pineau, M., P. Côté, and J. P. Villeneuve. "Estimation of wastewater treatment costs: Evaluation of the CAPDET model for Canadian conditions." Canadian Journal of Civil Engineering 12, no. 3 (September 1, 1985): 483–93. http://dx.doi.org/10.1139/l85-056.

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CAPDET is a computer program for estimating construction and operation costs of wastewater treatment plants. A validation study of the model was carried out in order to assess its capabilities for predicting these costs for Canadian conditions. The validation was performed using data from existing full-scale facilities located in Ontario, Québec, and other provinces. The validation study identifies problems in applying the model to Canadian conditions and formulates precise recommendations to account for them. Key results of the validation study were that construction costs can be predicted by the model to within ±20% of the actual costs and operation and maintenance costs to within ±30%. Key words: wastewater treatment plants, construction costs, operation and maintenance costs, CAPDET, computer program.

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Kwon, Hyukchun, and Chang Wook Kang. "Improving Project Budget Estimation Accuracy and Precision by Analyzing Reserves for Both Identified and Unidentified Risks." Project Management Journal 50, no. 1 (November 29, 2018): 86–100. http://dx.doi.org/10.1177/8756972818810963.

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Project risk is a critical factor in estimating project budget. Previous studies on this topic have only addressed estimation methods that consider project budget reserves against identified risks. As a result, project managers still face the challenge of completing projects within given budgets but without the relevant tools to deal with unidentified risks. This study proposes an approach for estimating reserves for both identified and unidentified risks separately. The study also suggests using the three-point estimation technique and R-value determination for estimating risk costs, which can improve budget accuracy and precision. The construction of residential building projects in South Korea demonstrates the advantages of the proposed approach compared with previous methods.

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Wright, David G., Gilles G. Patry, Charles E. Letman, and Donald R. Woods. "A procedure for estimating the capital cost of Ontario wastewater treatment plant using CAPDET." Canadian Journal of Civil Engineering 15, no. 5 (October 1, 1988): 799–806. http://dx.doi.org/10.1139/l88-104.

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CAPDET is a computer-assisted procedure for the design and evaluation of wastewater treatment facilities developed by the U.S. Army Corps of Engineers and the U.S. Environmental Protection Agency. The purpose of this study was to develop a procedure for applying CAPDET to the capital cost estimation of Canadian wastewater treatment plants without altering the source code. The proposed methodology is simple and efficient, requiring no additional data to that normally used in CAPDET.A total of 10 Canadian wastewater treatment plants were studied which included many of the treatment processes used in Canada. Six plants were used to develop the procedure while four plants were used to verify the procedure. The design flow for the selected plants ranged between 550 and 13 600 m3/d. Construction cost estimates generated using site-specific design information were compared with those obtained using the default database provided in CAPDET. The importance of the various unit costs on the total plant cost was also determined.Under the proposed methodology, unit costs are first adjusted to the date of construction using appropriate inflation indices. Wall concrete, slab concrete, and excavation costs are increased by an additional 15, 50, and 25%, respectively, to account for differences in construction practice. A final estimate reduction of 15% is performed to account for Canadian conditions.The procedure provides construction cost estimates that are within ± 20% of actual construction costs with a mean absolute error of 11% and an average error of 2.3%. Site-specific design data had little effect on the construction cost estimates with the exception of lagoon treatment facilities. Utilities and support facilities accounted for 20–30% of the cost estimates. The most significant cost parameters were the inflation index values and concrete and building unit costs. Key words: capital cost, construction cost estimation, wastewater treatment plant, mathematical modelling, calibration, verification.

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Peško, Igor, Vladimir Mučenski, Miloš Šešlija, Nebojša Radović, Aleksandra Vujkov, Dragana Bibić, and Milena Krklješ. "Estimation of Costs and Durations of Construction of Urban Roads Using ANN and SVM." Complexity 2017 (2017): 1–13. http://dx.doi.org/10.1155/2017/2450370.

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Offer preparation has always been a specific part of a building process which has significant impact on company business. Due to the fact that income greatly depends on offer’s precision and the balance between planned costs, both direct and overheads, and wished profit, it is necessary to prepare a precise offer within required time and available resources which are always insufficient. The paper presents a research of precision that can be achieved while using artificial intelligence for estimation of cost and duration in construction projects. Both artificial neural networks (ANNs) and support vector machines (SVM) are analysed and compared. The best SVM has shown higher precision, when estimating costs, with mean absolute percentage error (MAPE) of 7.06% compared to the most precise ANNs which has achieved precision of 25.38%. Estimation of works duration has proved to be more difficult. The best MAPEs were 22.77% and 26.26% for SVM and ANN, respectively.

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STAUB–FRENCH, SHERYL, MARTIN FISCHER, JOHN KUNZ, KOS ISHII, and BOYD PAULSON. "A feature ontology to support construction cost estimating." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 17, no. 2 (May 2003): 133–54. http://dx.doi.org/10.1017/s0890060403172034.

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Construction cost estimators are confronted with the challenging task of estimating the cost of constructing one of a kind facilities. They must first recognize the design conditions of the facility design that are important (i.e., incur a cost) and then determine how the design conditions affect the cost of construction. Current product models of facility designs explicitly represent components, attributes of components, and relationships between components. These designer-focused product models do not represent many of the cost-driving features of building product models, such as penetrations and component similarity. Previous research efforts identify many of the different features that affect construction costs, but they do not provide a formal and general way for practitioners to represent the features they care about according to their preferences. This paper presents the formal ontology we developed to represent construction knowledge about the cost-driving features of building product models. The ontology formalizes three classes of features, defines the attributes and functions of each feature type, and represents the relationships between the features explicitly. The descriptive semantics of the model allow estimators to represent their varied preferences for naming features, specifying features that result from component intersections and the similarity of components, and grouping features that affect a specific construction domain. A software prototype that implements the ontology enables estimators to transform designer-focused product models into estimator-focused, feature-based product models. Our tests show that estimators are able to generate and maintain cost estimates more accurately, consistently, and expeditiously with feature-based product models than with industry standard product models.

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Yousif, Jabar H., Saif N. Abdul Majeed, and Fouad J. I. Al Azzawi. "Web-Based Architecture for Automating Quantity Surveying Construction Cost Calculation." Infrastructures 5, no. 6 (June 1, 2020): 45. http://dx.doi.org/10.3390/infrastructures5060045.

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Quantity Surveying (QS) is a process concerned with controlling and managing the costs of construction projects. QS Measurement relies on sophisticated measurement rules that are understood by experienced practitioners. Traditional QS systems, such as standard paperwork, are time-consuming and only approximate the cost estimate. This paper aims to design and deploy a web-based framework for automating the cost estimation of concrete construction, using ASP.NET. It introduces a user-friendly interface, which ensures that the work is completed in the chronological order of the construction phases. The proposed QS framework offers a reliable and time-efficient estimation method, in comparison to other methods (i.e., human labor using paper or Excel), which was tested using real data and was validated by experts and consultant companies. Furthermore, it automated the reading of project information from construction maps, which reduced errors when estimating costs. It could also automatically determine the project location using Google Maps and could quickly guide the user to the location. The proposed QS framework automated the manual and Excel work of cost computing with an accuracy of 99%, reducing human calculation errors. It also effectively reduced the calculation time to only three days (compared to 114 days of manual work or 19 days of Excel work). The comparison result of the Quantity Surveyor’s average paid salary indicated that using web-based QS framework helps in reducing the cost estimation time and labor costs.

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Połoński, Mieczysław. "Construction project budgeting including time buffers and costs." Budownictwo i Architektura 13, no. 4 (December 11, 2014): 389–97. http://dx.doi.org/10.35784/bud-arch.1873.

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The proposed method presented in this article concerns cost estimating of projects, including contingency. It points to the possibility of application of time buffers for this purpose. From the practical point of view, the enhanced calculation at the planning stage of works, taking into account cost contingency, is important and meets the expectations of owners, who tend to exceed the planned costs of investment without considering reserve costs. The implementation of the calculation is relatively simple, and basically requires one person to be acquainted with the planned costs of particular tasks, even in a deterministic way. This article presents the assumptions of the proposed method and a calculation example involving a real construction object. Depending on the data available to the planner, the results are presented concerning the calculations of the amount of cost contingency of the entire project by way of seven variants of calculation. With reference to the provided example, depending on the applied method, the increase of the cost of the entire undertaking ranges from 21-36 % of the costs of the entire project. The highest contingency costs were obtained by using the risk analysis method (35-36 %). Other methods gave consistent results within the range of 21-26% of the costs of the entire object. In the conclusion, a continuous curve is shown depicting an increase of costs during the planned works.

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AbouRizk, S. M., G. M. Babey, and G. Karumanasseri. "Estimating the cost of capital projects: an empirical study of accuracy levels for municipal government projects." Canadian Journal of Civil Engineering 29, no. 5 (October 1, 2002): 653–61. http://dx.doi.org/10.1139/l02-046.

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This paper highlights the findings of a study undertaken to assess the accuracy of cost estimates for construction projects at various levels of design maturity. Specifically, this paper addresses the accuracy of cost estimates for major types of municipal works including drainage, roadways, and building projects over a span of 3 years. Over 200 projects were statistically evaluated in the study at four levels of the design, namely, concept, preliminary, detailed, and award. Those estimates were then compared with actual incurred cost at project completion. In general, it was found that estimates are not as accurate as generally believed. It was also confirmed that cost estimates for rehabilitation work were less accurate than those for new work. In the absence of major changes to the design and estimation processes, more tempered accuracy limits were derived and proposed.Key words: estimating, budgeting, construction costs, variability in capital costs.

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Rafiei, Mohammad Hossein, and Hojjat Adeli. "Novel Machine-Learning Model for Estimating Construction Costs Considering Economic Variables and Indexes." Journal of Construction Engineering and Management 144, no. 12 (December 2018): 04018106. http://dx.doi.org/10.1061/(asce)co.1943-7862.0001570.

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Rahmatunnida, R., R. R. T. Busono, and A. Ardiansyah. "Application of animation video to improve student learning outcomes in estimating construction costs." IOP Conference Series: Materials Science and Engineering 830 (May 19, 2020): 042060. http://dx.doi.org/10.1088/1757-899x/830/4/042060.

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Plebankiewicz, Edyta, Wiesław Meszek, Krzysztof Zima, and Damian Wieczorek. "Probabilistic and Fuzzy Approaches for Estimating the Life Cycle Costs of Buildings under Conditions of Exposure to Risk." Sustainability 12, no. 1 (December 26, 2019): 226. http://dx.doi.org/10.3390/su12010226.

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The paper discusses issues related to life cycle costs in construction. Life cycle cost is a key element in the assessment of environmental sustainability in construction and it provides a tool for the economic evaluation of alternative sustainability options exhibiting different capital, operating costs or resource usage. The authors reviewed selected models of estimating life cycle costs in construction, drew attention to the complex mathematical models developed so far, namely those which take into account only financial risks and those which involve the possibility of the influence of other risk factors and described the main assumptions accompanying the original model for estimating the whole life costs of buildings, including: reasons for choosing theory of possibility, division and parametrization of input data. The aim of this paper is to confirm the validity of the model structure assumptions adopted by the authors by comparing the originally selected fuzzy approach to calculating life cycle costs taking into account the risk with the probabilistic approach, as well as indicating the domain in which the probabilistic approach will complement the fuzzy approach chosen by the authors. The paper presents a comparison analysis of two approaches used in the authors’ model, a fuzzy and a probabilistic approach, recommended by the ISO standard 15686-5:2008. The authors used the Oracle Crystall Ball software in their simulations.

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Kurasova, O., V. Marcinkevičius, V. Medvedev, and B. Mikulskienė. "Early Cost Estimation in Customized Furniture Manufacturing Using Machine Learning." International Journal of Machine Learning and Computing 11, no. 1 (January 2021): 28–33. http://dx.doi.org/10.18178/ijmlc.2021.11.1.1010.

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Accurate cost estimation at the early stage of a construction project is a key factor in the success of most projects. Many difficulties arise when estimating the cost during the early design stage in customized furniture manufacturing. It is important to estimate the product cost in the earlier manufacturing phase. The cost estimation is related to the prediction of the cost, which commonly includes calculation of the materials, labor, sales, overhead, and other costs. Historical data of the previously manufactured products can be used in the cost estimation process of the new products. In this paper, we propose an early cost estimation approach, which is based on machine learning techniques. The experimental investigation based on the real customized furniture manufacturing data is performed, results are presented, and insights are given.

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Mosier, Rachel, and Douglas D. Gransberg. "A Framework to Reconcile Green Goals with Budget Reality." ISRN Construction Engineering 2013 (May 12, 2013): 1–10. http://dx.doi.org/10.1155/2013/656742.

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A public agency that decides to implement green design and construction features in its capital improvement program is actually adding an undetermined incremental cost to the initial cost of public buildings. Past research has portrayed these costs as a percentage increase, essentially creating an overall contingency for green buildings, but no work has been done to quantify the incremental cost on a building's actual design program that can be assigned directly to the project budget. This research sought to provide an objective approach to estimating sustainable design and proposes a framework for estimating the initial capital costs of sustainable building design and construction as measured by the Leadership in Energy and Environmental Design (LEED) certification program. The framework allows tracking of costs during design and can be utilized for estimating future projects. The framework is developed using case study analysis of green building projects in OK City, Oklahoma. The paper concludes that the cost of “going green” can be estimated as a unit price basis as a cost per LEED credit. The proposed framework can be used by any public agency to determine the additional cost of LEED certification and for budgeting future projects.

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Kraine, Gilbert L., and Sigurdur Ingvason. "Producibility in Ship Design." Journal of Ship Production 6, no. 04 (November 1, 1990): 255–67. http://dx.doi.org/10.5957/jsp.1990.6.4.255.

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Much attention has been given in recent years to the problem of reducing ship construction costs. This has primarily emphasized the improvement of production techniques, processes and management controls. There is a great deal that can be accomplished in reducing ship construction costs, however, by improving the producibility of the design of the ship. The design of a more producible ship requires concurrent product and process design. Various principles and techniques can be applied throughout the design process in order to reduce the construction man-hours required by ensuring that the manufacturing attributes are considered. This paper identifies some of the key principles involved and describes the techniques for applying the principles. A practical approach to estimating the cost benefit of alternative designs by estimating the labor input differential between the designs is also presented. Finally, specific examples of the application of the producibility techniques to several recent ship designs are included.

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Christian, John, and Tian Xing Xie. "Improving earthmoving estimating by more realistic knowledge." Canadian Journal of Civil Engineering 23, no. 1 (February 1, 1996): 250–59. http://dx.doi.org/10.1139/l96-026.

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Earthmoving operations are often a very important aspect of a civil engineering project. Very accurate knowledge of the earthmoving operation is often the vital, critical element in the formation of a good and accurate cost estimate and schedule because of its prominent role in influencing costs and time. Inaccuracies are often built into earthmoving estimates by the fairly sweeping assumptions that are made during the estimating process. These problems were revealed in answers to a questionnaire and in interviews with experts. The factors that affect the performance of machines are discussed, including the common types of earthmoving operations. The importance of haul distance in determining which type of equipment should be used is also considered. The selection of equipment and estimation of costs for earthmoving depend heavily on human experience. The means of eliciting human experience are described in detail. Because of this reliance on human experience, a prototype knowledge-based expert system was developed using a shell program. The system is able to select the most appropriate fleet of machines, and estimate the cost, for use as a decision support system in planning an earthmoving operation. Key words: construction, earthmoving, estimating, knowledge, expert system, realistic knowledge.

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Torayashiki, Tetsuya, and Hiroaki Maruya. "Study on Risk Reduction of Electric Power Supply Restriction by Reinforcement of Interconnection Lines Between Areas for the Nankai Trough Earthquake." Journal of Disaster Research 11, no. 3 (June 1, 2016): 566–76. http://dx.doi.org/10.20965/jdr.2016.p0566.

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Estimating electric power supply restrictions after the Nankai Trough earthquake and evaluating the need for reinforcing the capacity of lines interconnecting power supply areas, we found that capacity reinforcement of the Chubu-Kansai interconnection line used an electricity supply capability in the 60 Hz area of the western part of Japan after the disaster. We also found that this is effective in reducing risk in electric power supply restrictions, based on certain conditions. We also found by estimating construction and maintenance costs that the capacity reinforcement of the Chubu-Kansai interconnection line reduces risk and costs less than an east-west interconnection line.

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Hardy, Matthew H., James J. Larkin, Karl E. Wunderlich, and A. J. Nedzesky. "Estimating User Costs and Economic Impacts of Roadway Construction in Six Federal Lands Projects." Transportation Research Record: Journal of the Transportation Research Board 1997, no. 1 (January 2007): 48–55. http://dx.doi.org/10.3141/1997-07.

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Proverbs, D. G., G. D. Holt, and P. O. Olomolaiye. "A method for estimating labour requirements and costs for international construction projects at inception." Building and Environment 34, no. 1 (January 1998): 43–48. http://dx.doi.org/10.1016/s0360-1323(97)00064-4.

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Hattori, Atsushi, and Ryo Fujikura. "Estimating the Indirect Costs of Resettlement due to Dam Construction: A Japanese Case Study." International Journal of Water Resources Development 25, no. 3 (July 24, 2009): 441–57. http://dx.doi.org/10.1080/07900620902958785.

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Keatley, P., A. Shibli, and N. J. Hewitt. "Estimating power plant start costs in cyclic operation." Applied Energy 111 (November 2013): 550–57. http://dx.doi.org/10.1016/j.apenergy.2013.05.033.

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Kahandawa, Ravindu, Niluka Domingo, Gregory Chawynski, and S. R. Uma. "Factors impacting post-earthquake damage repair cost estimations." International Journal of Disaster Resilience in the Built Environment 12, no. 1 (June 4, 2020): 29–49. http://dx.doi.org/10.1108/ijdrbe-10-2019-0071.

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Purpose Reconstruction processes after an earthquake require estimating repair costs to decide on whether to repair or rebuild. This requires an accurate post-earthquake cost estimation tool. Currently, there are no post-earthquake loss estimation models to estimate repair costs accurately. There are loss assessment tools available, namely, HAZUS, performance assessment calculation tool (PACT), seismic performance and loss assessment tool (SLAT) and seismic performance prediction tool, which have not been specifically used for post-earthquake repair cost estimation. This paper aims to focus on identifying factors that need to be considered when upgrading these tools for post-earthquake repair cost estimation. Design/methodology/approach The research was conducted as an exploratory study using a literature review, document analysis of the PACT, SLAT and HAZUS software and 18 semi-structured interviews. Findings The research identified information sources available for estimation and factors to be considered when developing estimations based on the information sources. Research limitations/implications The data was collected from professionals who were involved mostly in housing repair work in New Zealand. Therefore, impact of these repair work factors might vary in other forms of structures such as civil structures include bridges and the country as a result of varying construction details and standards. Practical implications The identified factors will be used to improve the loss estimation tools are such as PACT and HAZUS, as well as to develop a post-earthquake repair cost estimation tool. Originality/value Currently, the identified factors impacting post-earthquake damage repair cost estimations are not considered in loss estimation tools. Factors identified in this research will help to develop a more accurate cost estimation tool for post-earthquake repair work.

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Mirkovic, Milan. "Triangular distribution and PERT method vs. payoff matrix for decision-making support in risk analysis of construction bidding: A case study." Facta universitatis - series: Architecture and Civil Engineering 18, no. 3 (2020): 287–307. http://dx.doi.org/10.2298/fuace201117020m.

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Decision-making in construction bidding represents a complex process due to the present risk. Risk or uncertainty cannot be ignored and should be treated as a constituent of decision-making. The paper aims to emphasize the importance of probability theory by comparing insufficiently applicable methods in practical bidding. The triangular distribution and the PERT method belong to three-point estimate techniques, while payoff matrices represent a multi-criteria approach. Also, selected methods belong to quantitative techniques for risk cost analysis. Still, the risk costs determination of the unit costs and the total costs of bids is often based on an intuitive approach. Therefore, compared results of the triangular distribution, PERT method, and payoff matrix techniques (minimin, minimax, expected monetary value, and expected opportunity loss) indicate the significance of risk costs estimating in tendering. The analysis of the results showed some overlaps in risk costs values obtained by the PERT method and expected monetary value technique. Those are due to the specificity of the chosen practical example and cannot be adopted as a rule. This means that selected methods and techniques are very useful for all bid estimation. The paper proved the complexity of decision-making, where the primary goal is to award a contract.

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Hussein, Maher Falih, Ahmed Rahman Shabib, and Salah Faisal Abood. "Optimized Well Construction Cost Estimate in South of Iraqi Fields/ Case Study from Zubair Field." Journal of Petroleum Research and Studies 11, no. 1 (May 7, 2021): 168–85. http://dx.doi.org/10.52716/jprs.v11i1.438.

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Cost estimation and control is a crucial activity for well engineering and construction. Inaddition to the technical preparation before drilling an oil well, well construction cost is one ofthe essential activities leading to AFE (authorization for expenditure). Recently theprobabilistic method for cost estimate became necessary for understanding the risk anduncertainty of a certain cost range instead of a single (deterministic) value. This work describesthe main types of drilling contracts have been used in Basra oilfields and discusses theprinciples of well construction cost estimate according to those contracts. In addition, itsummarize the relevant cost breakdown for drilling operations. The research also illuminatesthe probabilistic method for effective well cost estimating along with deterministic method. thestudy subdivided the process of well construction into segments for cost tracking, emphasizedthe main aspects influence the well cost and leading to a methodology that can be applied bythe operator for onshore well in the south of Iraqi fields. The methodology used in this workincludes, first, analyzing data from offset wells to facilitate the possible cost out comes, andsecond, subdivide the well construction activities into fixed costs, time dependent and depthdependent costs. A probabilistic model (Monte Carlo simulation) for cost estimating isconstructed using @ Risk software. The results released for risked drilling operation, whichincludes the NPT. While revising the historical cost performances in Zubair field, it has foundthat the best practices and lesson learned of the previous activities has significantly contributedin time and cost reduction of well operation. The findings of this work contributes to improvethe decision-making by managers for best investment, enhance the planning for next activitiesand confident choice of well budget. It also helps to investigate the critical factors and actions that can be applied on operational and contractual parameters to achieve cost reduction. A casestudy from Zubair field will be presented in order to illuminate the mentioned points.

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Garyaev, Nikolay, and Fadi Ayoub. "Using of building information modeling for existing buildings assessment." E3S Web of Conferences 263 (2021): 04053. http://dx.doi.org/10.1051/e3sconf/202126304053.

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The use BIM technology for new buildings have been proving his efficiency since the technology had established, the efficiency in costs estimation, construction management, resource saving incresed the interest to use BIM for existing building. The researchers covered a wide range of potential benefits for BIM in existing buildings such as: Facilities management, restoration and retrofit planning, deconstruction process, assessment and monitoring, maintenance and energy efficiency. In this paper the use of BIM for estimating the degree of physical deterioration is covered, based on the method included in the literature in Russian federation.

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Yahya, Khairulzan, Halim Boussabaine, and Ali Nasser Alzaed. "Using life cycle assessment for estimating environmental impacts and eco-costs from the metal waste in the construction industry." Management of Environmental Quality: An International Journal 27, no. 2 (March 14, 2016): 227–44. http://dx.doi.org/10.1108/meq-09-2014-0137.

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Purpose – The purpose of this paper is to investigate how to estimate the ecological costs form metal waste based on life cycle assessment (LCA) environmental impacts generated from the management of the construction waste. Design/methodology/approach – LCA methodology and eco-indicators 95 were used to calculate the impact from metal waste based on three waste management strategies. Findings – The results of this study establish that the ecological impact from metal waste management is mainly due to the burning of diesel from machinery during the dismantling processes and the use of vehicles for transportation. The results proposed equations and curves for estimating the ecological cost from metal waste based on waste management strategies. Research limitations/implications – The research could affect members of the engineering and construction industry, since it provides methods for costing the ecological impact from construction waste. The eco-costs will assist in implementing sustainable strategies that help to reduce the amount of waste generated by the construction industry. Originality/value – This paper presents an exploratory study to conceptualise eco-costing issues in relation to waste from construction activities in the UK construction industry.

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Stoy, Christian, Spiro Pollalis, and Dusan Fiala. "Estimating buildings' energy consumption and energy costs in early project phases." Facilities 27, no. 5/6 (April 3, 2009): 187–201. http://dx.doi.org/10.1108/02632770910944925.

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Yılmaz, Mustafa, and Recep Kanıt. "A practical tool for estimating compulsory OHS costs of residential building construction projects in Turkey." Safety Science 101 (January 2018): 326–31. http://dx.doi.org/10.1016/j.ssci.2017.09.020.

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Comerio, Mary C. "Estimating Downtime in Loss Modeling." Earthquake Spectra 22, no. 2 (May 2006): 349–65. http://dx.doi.org/10.1193/1.2191017.

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Downtime includes the time necessary to plan, finance, and complete repairs on facilities damaged in earthquakes or other disasters. It is an essential component of loss modeling, because it is one measure of operational failure in lifelines and business interruption in buildings. Data from building repairs after the Loma Prieta and Northridge earthquakes, together with institutional risk management projections are used to define the rational and irrational components of downtime for buildings. Rational components include construction costs and time. Irrational situation-specific components take into account the time needed to mobilize for repairs and include financing, relocation of functions, workforce availability, regulatory changes, and economic uncertainty. To quantify these factors, the pace of recovery can be linked to the scale of damage in a stock of buildings in the affected region.

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Brändle, Gregor, Max Schönfisch, and Simon Schulte. "Estimating long-term global supply costs for low-carbon hydrogen." Applied Energy 302 (November 2021): 117481. http://dx.doi.org/10.1016/j.apenergy.2021.117481.

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Mayes, Ronald L., Lindsay R. Jones, and Trevor E. Kelly. "The Economics of Seismic Isolation in Buildings." Earthquake Spectra 6, no. 2 (May 1990): 245–63. http://dx.doi.org/10.1193/1.1585567.

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Seismic isolation is a design technique that offers significant benefits in appropriate applications, and interest in its application continues to grow. The two key issues that must be addressed early in the design phase of a project are the technical and economic feasibility issues. This paper focuses on the economic issues, and discusses the four principal cost factors that should be evaluated. These being construction costs, earthquake insurance premiums, physical damage that must be repaired and disruption costs, loss of market share and potential liability. The paper includes a summary of first cost studies on both new and existing buildings. It also discusses methods of estimating the difference in the cost of earthquake damage using different construction techniques.

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Jrade, Ahmad, and Sabah Alkass. "Computer-Integrated System for Estimating the Costs of Building Projects." Journal of Architectural Engineering 13, no. 4 (December 2007): 205–23. http://dx.doi.org/10.1061/(asce)1076-0431(2007)13:4(205).

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Dang, Chau Ngoc, and Long Le-Hoai. "Revisiting storey enclosure method for early estimation of structural building construction cost." Engineering, Construction and Architectural Management 25, no. 7 (August 20, 2018): 877–95. http://dx.doi.org/10.1108/ecam-07-2015-0111.

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Purpose The purpose of this paper is to develop several predictive models for estimating the structural construction cost and establish range estimation for the structural construction cost using design information available in early stages of residential building projects. Design/methodology/approach Information about residential building projects is collected based on project documents from construction companies with regard to the design parameters and the actual structural construction costs at completion. Storey enclosure method (SEM) is fundamental for determining the building design parameters, forming the potential variables and developing the cost estimation models using regression analysis. Nonparametric bootstrap method is used to establish range estimation for the structural construction cost. Findings A model which is developed from an integration of advanced SEM, principle component analysis and regression analysis is robust in terms of predictability. In terms of range estimation, cumulative probability-based range estimates and confidence intervals are established. While cumulative probability-based range estimates provide information about the level of uncertainty included in the estimate, confidence intervals provide information about the variability of the estimate. Such information could be very crucial for management decisions in early stages of residential building projects. Originality/value This study could provide practitioners with a better understanding of the uncertainty and variability included in the cost estimate. Hence, they could make effective improvements on cost-related management approaches to enhance project cost performance.

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Fragkakis, Nikolaos, Sergios Lambropoulos, and John-Paris Pantouvakis. "A Computer-Aided Conceptual Cost Estimating System for Pre-Stressed Concrete Road Bridges." International Journal of Information Technology Project Management 5, no. 1 (January 2014): 1–13. http://dx.doi.org/10.4018/ijitpm.2014010101.

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The need for an environmentally friendly design of modern motorways increases the construction of bridges, which has exhibited substantial overruns above estimated costs. Therefore, easy to use, inexpensive and accurate methods for conceptual cost estimating are needed. This paper presents a computer-aided cost estimating system for pre-stressed concrete road bridges that provides estimates of the material quantities and cost of all bridge elements. It relies on a database incorporating actual data collected from recently constructed bridges and exploits material estimating models developed with statistical analysis. Different configurations are devised from short to long-span bridges, accounting for the major deck construction methods and foundation systems. The system can be easily used to provide different cost estimates to the owner, designer and contractor during the project's early stages. By allowing reliable cost estimates in a short time, the proposed computer-aided system represents a useful decision making tool.

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Han, Seung-Hee, and Hong-Tae Park. "Development of a model for an equation for estimating construction costs based on the resource-based cost estimating system for TBM." Journal of the Korea Academia-Industrial cooperation Society 14, no. 3 (March 31, 2013): 1474–80. http://dx.doi.org/10.5762/kais.2013.14.3.1474.

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Zheng, Yan, Di Su, Xu Wang, and Yu Cai. "Life Cycle Cost Analysis for Substation." Applied Mechanics and Materials 638-640 (September 2014): 2370–76. http://dx.doi.org/10.4028/www.scientific.net/amm.638-640.2370.

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Life Cycle Cost of Construction engineering project management is a combination of modern management theory—system theory, cybernetics and information theory combined with the construction project. In this paper, a model of substation life cycle cost is built comprehensively, by making a model for the cost estimating of substation design and construction cost. Meanwhile, the operation loss, operation maintenance cost are analyzed and calculated, the estimate of the retirement costs is carried on. On these basics, analyzes the relationship between the cost, then the numerical example is given ultimately. Eventually, optimal reliability and economical efficiency is achieved.

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Moselhi, Osama, and Ahmed Hassanein. "Data acquisition and analysis for highway construction using geographic information systems." Canadian Journal of Civil Engineering 30, no. 3 (June 1, 2003): 533–42. http://dx.doi.org/10.1139/l03-002.

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Earthmoving operations represent a sizeable percentage of highway construction costs. Accurate estimation of cut and fill quantities, as well as haul distances, are thus essential for developing realistic schedules and reliable cost estimates for highway construction projects. This paper presents a model designed to aid highway construction personnel in optimizing earthmoving operations by developing realistic mass haul diagrams. The model automates data acquisition and accounts for the presence of different soil strata and natural and (or) man-made obstructions affecting earthmoving plans. Geographic information systems (GIS) are employed to generate three-dimensional digital terrain models of the topography and soil profiles. The model is supported by a relational database for soil data and has been implemented in a prototype software developed in ArcView® environment. It provides a user-friendly interface to facilitate data entry and efficient reporting capabilities. The model has flexible input and output formats designed to facilitate data sharing with a number of commercially available software systems. A numerical example is presented to demonstrate the features of the developed model.Key words: data acquisition, geographic information systems, quantity estimating, earthwork optimization.

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Journal articles on the topic 'Estimating construction costs'

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