Relevant bibliographies by topics / Construction cost estimation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Construction cost estimation'

Author: Grafiati
Published: 4 June 2021
Last updated: 6 February 2022

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Journal articles on the topic "Construction cost estimation"

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Ekung, Samuel, Adeniran Lashinde, and Emmanuel Adu. "Critical Risks to Construction Cost Estimation." Journal of Engineering, Project, and Production Management 11, no. 1 (January 1, 2021): 19–29. http://dx.doi.org/10.2478/jeppm-2021-0003.

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AbstractThe prevalence of cost overrun in project delivery suggests an acute dearth of inclusive understanding of the effect of risks on construction cost estimation. In aberrant to the generic assumptions, customary to inquiries in construction risk researches, this paper appraised critical construction estimating risks. The study evaluated the sources, frequency and significance of construction estimating risks, using data from a questionnaire survey of 206 quantity surveyors in Nigeria. The data were analysed using factor analysis, Fussy Set Theory, Terrell Transformation Index (TTI), and Kruskal Wallis H tests. The results showed that estimating risks are correlate seven principal sources, namely: estimating resources, construction knowledge, design information, economic condition, the expertise of estimator, geographic factor, cost data, and project factors (λ, > 0.70 <1.0). Twenty-nine risk factors likewise emerged critical construction estimation risks (TTI, 69-87 > 65 percent) and the top three were low construction knowledge, inaccurate cost information and changes in government regulations (factor scores > 0.60 > 0.50). The awareness and accurate assessment of these risks into project cost estimation would reduce cost overrun. The study, therefore, recommends synergies between projects’ internal/ external environments for proper scoping of these risks into project estimates.
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Wagh, Bhagyashree. "Construction Site Cost Estimation System." International Journal for Research in Applied Science and Engineering Technology 7, no. 5 (May 31, 2019): 2839–47. http://dx.doi.org/10.22214/ijraset.2019.5468.

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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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Kale, Prof Amit. "Comparative Cost Estimation of Residential Building." International Journal for Research in Applied Science and Engineering Technology 9, no. 8 (August 31, 2021): 2735–39. http://dx.doi.org/10.22214/ijraset.2021.37847.

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Abstract: A construction project of any building is mainly based on 3 important steps that are planning, Cost Estimation of the building and proper execution of construction of the building. Construction cost estimation has the lion’s share of the research effort in construction management. The Objective is to analyze the effectiveness of various cost estimation methods by comparing traditional and various online websites. This study will provide more accurate estimates that save time and minimize errors. The research conducted will be helpful for estimation of construction, also proving how the introduction of IT sector in construction industry is turning out to be beneficial. Keywords: Estimation, Construction Management, Online Websites, minimize errors
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Li, Heng. "Neural networks for construction cost estimation." Building Research & Information 23, no. 5 (October 1995): 279–84. http://dx.doi.org/10.1080/09613219508727476.

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Ahiaga-Dagbui, Dominic D., and Simon D. Smith. "Rethinking construction cost overruns: cognition, learning and estimation." Journal of Financial Management of Property and Construction 19, no. 1 (April 7, 2014): 38–54. http://dx.doi.org/10.1108/jfmpc-06-2013-0027.

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Purpose – Drawing on mainstream arguments in the literature, the paper presents a coherent and holistic view on the causes of cost overruns, and the dynamics between cognitive dispositions, learning and estimation. A cost prediction model has also been developed using data mining for estimating final cost of projects. The paper aims to discuss these issues. Design/methodology/approach – A mixed-method approach was adopted: a qualitative exploration of the causes of cost overrun followed by an empirical development of a final cost model using artificial neural networks. Findings – A conceptual model to distinguish between the often conflated causes of underestimation and cost overruns on large publicly funded projects. The empirical model developed in this paper achieved an average absolute percentage error of 3.67 percent with 87 percent of the model predictions within a range of ±5 percent of the actual final cost. Practical implications – The model developed can be converted to a desktop package for quick cost predictions and the generation of various alternative solutions for a construction project in a sort of what-if analysis for the purposes of comparison. The use of the model could also greatly reduce the time and resources spent on estimation. Originality/value – A thorough discussion on the dynamics between cognitive dispositions, learning and cost estimation has been presented. It also presents a conceptual model for understanding two often conflated issues of cost overrun and under-estimation.
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Yin, Hai Wen. "The Modeling of Buildings Cost Assessment Expert System with Differences." Advanced Materials Research 989-994 (July 2014): 5327–30. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5327.

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It’s difficult to estimate the costs of hybrid constructions with great differentiations. This paper proposes a hybrid construction costs optimization model by reasonably selecting the feature attributes during costs estimation. SVR prediction model is established and it’s trained to shape the analog hybrid construction cost information estimation model. The experimental results show that the proposed model can accurately predicate the hybrid construction costs with higher efficiency.
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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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Adeli, Hojjat, and Mingyang Wu. "Regularization Neural Network for Construction Cost Estimation." Journal of Construction Engineering and Management 124, no. 1 (January 1998): 18–24. http://dx.doi.org/10.1061/(asce)0733-9364(1998)124:1(18).

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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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Dissertations / Theses on the topic "Construction cost estimation"

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Ahiaga-Dagbui, Dominic Doe. "Rethinking construction cost overruns : an artificial neural network approach to construction cost estimation." Thesis, University of Edinburgh, 2014. http://hdl.handle.net/1842/10454.

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The main concern of a construction client is to procure a facility that is able to meet its functional requirements, of the required quality, and delivered within an acceptable budget and timeframe. The cost aspect of these key performance indicators usually ranks highest. In spite of the importance of cost estimation, it is undeniably neither simple nor straightforward because of the lack of information in the early stages of the project. Construction projects therefore have routinely overrun their estimates. Cost overrun has been attributed to a number of sources including technical error in design, managerial incompetence, risk and uncertainty, suspicions of foul play and even corruption. Furthermore, even though it is accepted that factors such as tendering method, location of project, procurement method or size of project have an effect on likely final cost of a project, it is difficult to establish their measured financial impact. Estimators thus have to rely largely on experience and intuition when preparing initial estimates, often neglecting most of these factors in the final cost build-up. The decision-to-build for most projects is therefore largely based on unrealistic estimates that would inevitably be exceeded. The main aim of this research is to re-examine the sources of cost overrun on construction projects and to develop final cost estimation models that could help in reaching more reliable final cost estimates at the tendering stage of the project. The research identified two predominant schools of thought on the sources of overruns – referred to here as the PsychoStrategists and Evolution Theorists. Another finding was that there is no unanimity on the reference point from which cost performance could be assessed, leading to a large disparity in the size of overruns reported. Another misunderstanding relates to the term “cost overrun” itself. The experimental part of the research, conducted in collaboration with two industry partners, used a combination of non-parametric bootstrapping and ensemble modelling with artificial neural networks to develop final project cost models based on about 1,600 water infrastructure projects. 92% of the validation predictions were within ±10% of the actual final cost of the project. The models will be particularly useful at the pre-contract stage as they will provide a benchmark for evaluating submitted tenders and also allow the quick generation of various alternative solutions for a construction project using what-if scenarios. The original contribution of the study is a fresh thinking of construction “cost overruns”, now proposed to be more appropriately known as “cost growth” based on a synthesises of the two schools of thought into a conceptual model. The second contribution is the development of novel models of construction cost estimation utilising artificial neural networks coupled with bootstrapping and ensemble modelling.
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Clark, Michael. "A Framework for BIM Model-Based Construction Cost Estimation." DigitalCommons@CalPoly, 2019. https://digitalcommons.calpoly.edu/theses/1997.

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This thesis presents a framework to conduct a quantity take-off (QTO) and cost estimate within the Building Information Modeling (BIM) Environment. The product of this framework is a model-based cost estimating tool. The framework addresses the cost uncertainty associated with the detailed information defining BIM model element properties. This cost uncertainty is due to the lack of available tools that address detailed QTO and cost estimation using solely a BIM platform. In addition, cost estimators have little experience in leveraging and managing information within semantic-rich BIM models. Unmanaged BIM element parameters are considered a source of uncertainty in a model-based cost estimate, therefore they should be managed and quantified as work items. A model-based system, which assists the estimators to conduct a QTO and cost estimate within the BIM environment, is developed. This system harnesses BIM element parameters to drive work items associated with the parameter’s host element. The system also captures the cost of scope not modeled in the design team’s BIM models. The system consists of four modules 1) establishing estimate requirements, 2) planning and structuring the estimate, 3) quantification and costing, and 4) model-based historical cost data collection. The complete system can produce a project cost estimate based on the 3D BIM Model. This framework is supported by a computation engine built within an existing virtual design and construction (VDC) model review software. The computation engine supports BIM authoring and reviewing BIM data. The Framework’s quantification and costing module was compared to existing methods in a case study. The outcomes of the model-based system demonstrated improved cost estimate accuracy in comparison to the BIM QTO method and improved speed compared to the traditional methods. The framework provides a systematic workflow for conducting a detailed cost estimate leveraging the parameters stored in the BIM models.
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Wilkin, Kelly R. "Cost estimation performances of Nevada highway infrastructure construction projects." abstract and full text PDF (free order & download UNR users only), 2006. http://0-gateway.proquest.com.innopac.library.unr.edu/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqdiss&rft_dat=xri:pqdiss:1436025.

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Blackwood, David John. "Rationalisation of design cost estimation in the construction industry." Thesis, University of Abertay Dundee, 1998. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.242114.

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Celik, T. "Developing a building construction associated social cost estimation system for Turkish construction industry." Thesis, University of Salford, 2014. http://usir.salford.ac.uk/34147/.

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Purpose - Construction projects, especially in the urban areas, generate serious environmental nuisances for the adjacent residents. Construction causative adverse impacts on the neighbouring communities are known as the social costs. The amount of social cost changes from country to country depending on the applied building code of practices and building permission regulations. If the relevant code of practice is mandatory or the regulations are strict, contractors inherently will pay more attention to obey them and the occurrence of the social cost is less likely. However, in many especially developing countries, like north Cyprus and Turkey, those rules are either not existing or loose and in this case high amount social costs are caused by the contactors. The presence of the social costs are broadly embraced in theory however, they are not predominantly applied yet during project initial cost estimation practices. One of the reasons for that is, the social costs are rather complicated to measure and quantify due to lack of a paradigm for practice that guides the professionals on how to classify and assess them in the most applicable way possible. Thus, this research aims to develop a generic a social cost estimation system for Turkey and North Cyprus construction industries which assists to identify the social cost drivers, to estimate the social costs on the basis of the identified drivers, to incorporate social cost into project initial cost and to compensate it for the third parties. In this system, the contractors will be enforced to minimize the nuisances of the people residing around a construction site. Otherwise, the contractors will be forced to compensate them through a bonding system. Design/Methodology/Approach – the research adopts a triangulation strategy adopting multi-method approach in tackling the social cost phenomenon through a rigorous research process. For example, through comprehensive literature review, the research identified the social cost impact types; social cost components are established by the focus group through brainstorming sessions, and observations and self-experience in case study projects either via site visits or participating in the case study projects; the enumeration of the qualitative components of the social costs are obtained via questionnaire based survey. Findings – The segmentation of the social costs are evaluated as the impacts on house, household and neighbourhood. A total of 17 perceivable nuisance criteria are defined for those segments. The enumeration of all perceivable nuisance criteria is implemented where the estimated total social cost can be generated by using them. Practical implications – It paves a solid foundation for the professionals in the Turkish construction industry to perform precise building construction associated social cost estimations. Originality/value – This research provides sound and sequential system to estimate and compensate social costs for building constructions in the residential areas of developing countries. Keywords – Social cost, construction adverse impacts, building construction nuisance criteria, Turkish construction industry, and quantification of the social costs.
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Theodorakopoulos, Thomas F. "Integrated cost management system for delivering construction projects." Thesis, Loughborough University, 2017. https://dspace.lboro.ac.uk/2134/27629.

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Cost management forms a major discipline in delivering construction projects of different sizes and complexity. Traditional cost management systems are mostly based on principles enacted several decades ago. A notable feature of these traditional cost management systems is that key information required for critical decisions is usually produced too late, and is often too aggregated and configured in a form that is not amenable to the requirements for current project management practice. Other problems associated with traditional cost systems relate to inadequacies in estimating and cost control processes and particularly the lack of integration of cost management across the whole project. The lack of integration means measurements provided by traditional cost systems do not sufficiently align with the goals and objectives set for the project. To address these inherent weaknesses in the current practice of cost management, a number of studies have argued for an integrated alternative that better responds to the information demand and decision making need to be developed. The thesis presents the development of a solution to such an integrated cost management system. The developed solution addresses the gaps of the traditional option by integrating the stages making up the whole life cycle of the project to enable professionals gain an appreciation of the ramifications of any early decisions made. The investigation conducted to support the development of the integrated cost management system and the applied model addresses user requirements and determination of the system boundary conditions for efficacious use by key decision makers. The new cost management system developed achieves a linkage of the planning and control stages into one, with a continuous stream of cost management information in both stages. The integration ensures that cost information is more relevant to the circumstances of the modern project manager.
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Stutesman, Jonathan Harley. "Identifying the Economic Barriers to CLT Cost Estimation Among Building Construction Professionals." Thesis, Virginia Tech, 2020. http://hdl.handle.net/10919/96712.

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Cross-laminated timbers (CLTs) are strong and lightweight structural building materials. CLTs are made from renewable wood resources and have significant economic potential as a new value-added product for the United States. However, market penetration has been obstructed by product affordability and lack of availability for use. Previous studies and projects have surveyed opinions of designers and contractors about the adoption of CLTs. No previous study was found that surveyed cost estimators, who serve the essential function of creating economic comparisons of alternative materials in commercial construction. CLTs are not included in these current cost estimation tools and software packages which may be limiting the potential use of CLT in construction. The purpose of this study was to discover if cost estimation is being used to make structural decisions potentially affecting the marketability of CLT use in construction and building design because of the ability to estimate CLTs adequately. Through the use of a survey, the re-designing of a building, and discussions with subject matter experts, this study examined the knowledge level of cross-laminated timbers of under-surveyed building construction professions and the relationship between cost estimation and structural material choices. Their responses are demonstrating the need for better cost estimation tools for cross-laminated timbers such as inclusion in the Construction Specifications Institute's classification systems in order for CLTs to become a more competitive product. The study concluded that cost estimation is important for CLT market development, because it is being used extensively in the construction industry.
Master of Science
Cross-laminated timbers (CLTs) are strong and lightweight structural building materials that also serve as a method of sequestering carbon rather than emitting carbon like more traditional construction materials. CLT construction is straightforward and quick to assemble, requiring minimal time and labor. CLTs are made from abundant and renewable wood resources and have significant economic potential as a job creator and as a new value-added product for the United States. However, market penetration has been obstructed by product affordability and lack of availability for use. Previous studies and projects have surveyed opinions of designers and contractors about CLT use. However, no previous study has been found that examined the opinions of cost estimators, who serve an essential function in providing economic comparisons of different construction systems for designers and building owners to select in the commercial construction area. CLTs are currently not included in these cost estimates, and this lack of information may be limiting the potential of this construction system. The purpose of this study was to discover if cost estimation is being used to make structural decisions potentially affecting the marketability of CLT use in construction and building design because of the ability to estimate CLTs adequately. Through the use of a survey and discussions with subject matter experts, this study examined the knowledge level of crosslaminated timbers of under-surveyed building construction professions and the relationship between cost estimation and structural material choices. They are demonstrating the need for better cost estimation tools for cross-laminated timbers such as inclusion in the Construction Specifications Institute’s classification systems in order for CLTs to become a more competitive product. Cost estimation is performed early in the design process before the structural material has been chosen. However, making cost estimates of CLT materials early in the design process is not a practical solution at this point due to the lack of cost data available. As an alternative solution, this project developed a design tool that is meant to accelerate the design process and allow companies to approach suppliers for quotes, which require mostly complete designs. While this is not a complete solution, if designs are made faster and more effortless, they should also be a more affordable investment for clients. 5 | Page Building construction professionals perceived CLT construction as too expensive, unavailable to the consumer, or unwanted by the client. It was found that the lack of data, due primarily to the material being new to the US construction industry, was a significant barrier to CLT cost estimation. The custom design of many previous CLT projects, due to the lack of CLT construction in the current building codes, limits the collection of standard CLT construction data. There is also an issue with the discrete sizes of CLT panels limiting their competitiveness. These barriers were identified in this study, and further research is needed to develop complete solutions.
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Celenligil, Onur. "Analogical Reasoning For Risk Assessment And Cost Overrun Estimation In Construction Projects." Master's thesis, METU, 2010. http://etd.lib.metu.edu.tr/upload/12612229/index.pdf.

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Project cost increase is the main concern in international construction projects which usually results in disputes and conflicts among the project participants. The aim of this thesis is to construct a database that represents risk event history regarding international construction projects and construct a cost overrun prediction model. It is hypothesized that magnitudes of project related, company related and country related risk factors can be predicted by assessing the level of vulnerability by analogical reasoning with previous projects. The vulnerability and risk factors can further be used to predict cost overrun in the bid preparation stage of international construction projects. Thus, prediction models that link vulnerability with risk factors and cost are constructed by using a dataset of 166 international construction projects, which consists of 66 real and 100 hypothetical cases. Case-based reasoning (CBR) technique is used to construct the prediction models. After testing the performance of various CBR models using different weight generation and retrieval methods, error rate of +/- 7.15 % cost increase is achieved. The utilization of CBR models in the prediction of potential risk sources and cost overrun is demonstrated by a real case study. Finally, the benefits and pitfalls of using analogical reasoning for risk and cost overrun assessment of construction projects are discussed.
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Wu, Kin-kwong. "A study of the cost management process and estimation techniques for estimating building services installations in the building construction industry /." Hong Kong : University of Hong Kong, 1998. http://sunzi.lib.hku.hk/hkuto/record.jsp?B25949597.

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Ozturk, Erhan. "Cost Estimation Of Trackworks Of Light Rail And Metro Projects." Master's thesis, METU, 2009. http://etd.lib.metu.edu.tr/upload/2/12610332/index.pdf.

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The main objective of this work is to develop models using multivariable regression and artificial neural network approaches for cost estimation of the construction costs of trackworks of light rail transit and metro projects at the early stages of the construction process in Turkey. These two approaches were applied to a data set of 16 projects by using seventeen parameters available at the early design phase. According to the results of each method, regression analysis estimated the cost of testing samples with an error of 2.32%. On the other hand, artificial neural network estimated the cost with 5.76% error, which is slightly higher than the regression error. As a result, two successful cost estimation models have been developed within the scope of this study. These models can be beneficial while taking the decision in the tender phase of projects that includes trackworks.
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Books on the topic "Construction cost estimation"

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Singh, Surinder. Cost estimation of structures in commercial buildings. Basingstoke: Macmillan, 1994.

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Martin, Peter T. Design/build vs. traditional construction user delay modeling: An evaluation of the cost effectiveness of innovative construction methods for new construction. [Fargo, N.D.]: Mountain-Plains Consortium, 2007.

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Anderson, S. D. Guidance for cost estimation and management for highway projects during planning, programming, and preconstruction. Washington, D.C: Transportation Research Board, 2007.

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Holm, Len, and John E. Schaufelberger. Construction Cost Estimating. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494.

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Estimating home construction cost. 2nd ed. Washington, D.C: Builder Books, 2006.

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Peurifoy, R. L. Estimating construction costs. 4th ed. New York: McGraw-Hill, 1989.

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D, Oberlender Garold, ed. Estimating construction costs. 5th ed. Boston: McGraw-Hill, 2002.

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Ostwald, Phillip F. Construction cost analysis and estimating. Upper Saddle River., N.J: Prentice Hall, 2001.

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Toenjes, Leonard P. Construction estimating. Homewood, IL: American Technical Publishers, 2008.

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Jerry, Householder, ed. Estimating home construction costs. Washington, DC: Home Builder Press, 1999.

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Book chapters on the topic "Construction cost estimation"

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Paul, Catherine J. Morrison. "Data Construction for Estimation and Measurement." In Cost Structure and the Measurement of Economic Performance, 269–99. Boston, MA: Springer US, 1999. http://dx.doi.org/10.1007/978-1-4615-5093-8_10.

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Domer, Bernd, Benny Raphael, and Sandro Saitta. "KnowPrice2: Intelligent Cost Estimation for Construction Projects." In Lecture Notes in Computer Science, 147–52. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11888598_16.

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Sur, Suchintya Kumar. "Estimation and Cost Analysis of Hydropower Project." In A Practical Guide to Construction of Hydropower Facilities, 371–82. First edition. | New York, NY : CRC Press/Taylor & Francis Group, 2019.: CRC Press, 2019. http://dx.doi.org/10.1201/9781351233279-17.

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Sayadi, Ahmad Reza, Jafar Khademi Hamidi, Masoud Monjezi, and Meysam Najafzadeh. "A Preliminary Cost Estimation for Short Tunnels Construction Using Parametric Method." In Engineering Geology for Society and Territory - Volume 1, 461–65. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-09300-0_88.

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Xu, Shen, Kecheng Liu, and Llewellyn CM Tang. "Applying Organizational Semiotics for Developing Knowledge-Based Cost Estimation of Construction Project." In Information and Knowledge Management in Complex Systems, 80–91. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-16274-4_9.

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Zanni, Mariangela, Tim Sharpe, Philipp Lammers, Leo Arnold, and James Pickard. "Standardization of Whole Life Cost Estimation for Early Design Decision-Making Utilizing BIM." In Advances in Informatics and Computing in Civil and Construction Engineering, 773–79. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-030-00220-6_93.

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Fürstenberg, D., T. Gulichsen, O. Lædre, and E. Hjelseth. "BIM-based cost estimation in a road project – proof of concept and practice." In ECPPM 2021 – eWork and eBusiness in Architecture, Engineering and Construction, 177–83. London: CRC Press, 2021. http://dx.doi.org/10.1201/9781003191476-24.

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Pen, Renwei, Xun Lian, Xuemiao Wu, and Daohui Liao. "Universities Capital Construction Project Cost Estimation Method for Practical Research in Decision-Making Stage." In Proceedings of the 17th International Symposium on Advancement of Construction Management and Real Estate, 1191–205. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-35548-6_121.

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Zhang, Yilong, Yajun Cai, and Huanhuan Wu. "Research on Cost Estimation of Highway Project Based on the GA-BP Algorithm." In Proceedings of the 19th International Symposium on Advancement of Construction Management and Real Estate, 451–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-46994-1_37.

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Holm, Len, and John E. Schaufelberger. "Preconstruction." In Construction Cost Estimating, 48–59. First edition. | Abingdon, Oxon ; New York : Routledge/Taylor & Francis Group, 2021. | Substantial re-write from previous estimating text: Construction Cost Estimating, Process and Practices by Holm, Schaufelberger, Griffin, and Cole; Pearson, 2005.: Routledge, 2021. http://dx.doi.org/10.1201/9781003023494-6.

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Conference papers on the topic "Construction cost estimation"

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Akanbi, Temitope, and Jiansong Zhang. "Automated Wood Construction Cost Estimation." In ASCE International Workshop on Computing in Civil Engineering 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480823.018.

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Xu, Shen, Kecheng Liu, and Llewellyn C. M. Tang. "Cost Estimation in Building Information Models." In International Conference on Construction and Real Estate Management 2013. Reston, VA: American Society of Civil Engineers, 2013. http://dx.doi.org/10.1061/9780784413135.053.

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Chandraratne, K. A. D. S. M., K. A. K. Devapriya, and T. P. W. S. I. Pandithawatta. "Development of a computer model for cost estimation in educational buildings." In 8th World Construction Symposium. University of Moratuwa, 2019. http://dx.doi.org/10.31705/wcs.2019.27.

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Rui, Zhenhua, Paul A. Metz, Xiaoqing Wang, Gang Chen, Xiyu Zhou, and Douglas B. Reynolds. "Inaccuracy in Pipeline Compressor Station Construction Cost Estimation." In SPE Annual Technical Conference and Exhibition. Society of Petroleum Engineers, 2012. http://dx.doi.org/10.2118/160119-ms.

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Nawar, Seif, Ossama Hosny, and Khaled Nassar. "Owner Time and Cost Contingency Estimation for Building Construction Projects in Egypt." In Construction Research Congress 2018. Reston, VA: American Society of Civil Engineers, 2018. http://dx.doi.org/10.1061/9780784481271.036.

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Azhar, S., S. Ahmed, and A. Caballero. "Development of an Integrated Cost Estimation and Cost Control System for Construction Projects." In 19th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 2002. http://dx.doi.org/10.22260/isarc2002/0020.

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Moselhi, Osama, Tarek Hegazy, and Paul Fazio. "A Hybrid Neural Network Methodology for Cost Estimation." In 8th International Symposium on Automation and Robotics in Construction. International Association for Automation and Robotics in Construction (IAARC), 1991. http://dx.doi.org/10.22260/isarc1991/0051.

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Juliantina, Ika, Yulindasari Sutejo, Bimo Brata Adhitya, Nurul Permata Sari, and Reffanda Kurniawan. "Cost estimation for slope stability improvement in Muara Enim." In PROCEEDINGS OF THE 3RD INTERNATIONAL CONFERENCE ON CONSTRUCTION AND BUILDING ENGINEERING (ICONBUILD) 2017: Smart Construction Towards Global Challenges. Author(s), 2017. http://dx.doi.org/10.1063/1.5011585.

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Koskela, Lauri, and Glenn Ballard. "Shifting the Focus of Discussion: From Cost (Under)Estimation to Cost Reduction." In 29th Annual Conference of the International Group for Lean Construction (IGLC). International Group for Lean Construction, 2021. http://dx.doi.org/10.24928/2021/0177.

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Akanbi, Temitope, and Jiansong Zhang. "Automated Design Information Extraction from Construction Specifications to Support Wood Construction Cost Estimation." In Construction Research Congress 2020. Reston, VA: American Society of Civil Engineers, 2020. http://dx.doi.org/10.1061/9780784482889.069.

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Reports on the topic "Construction cost estimation"

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Feierl, Lukas, Maria Moser, and Hannes Poier. Modular conception and construction. IEA SHC Task 55, October 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0010.

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Abstract:
The factsheet gives a high-level definition of designing solar thermal systems for district heating. In addition, modules are introduced which can be used for modelling systems and finally, methods for estimating energy yield and costs of systems are described.
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Tanner, Patrick, and Robert Neathammer. Cost Estimating Guide for Performing Economic Analyses in the Military Construction, Army (MCA) Process. Fort Belvoir, VA: Defense Technical Information Center, January 1991. http://dx.doi.org/10.21236/ada232873.

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Ribeiro, João A., Paulo J. Pereira, and Elísio M. Brandão. A real options model to determine the optimal contractual penalty for a BOT project. CICEE. Universidade Autónoma de Lisboa, 2021. http://dx.doi.org/10.26619/ual-cicee/wp06.2021.

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Public-Private Partnerships (PPP) became one of the most common types of public procurement arrangements and Build-Own-Transfer (BOT) projects, awarded through adequate bidding competitions, have been increasingly promoted by governments. The theoretical model herein proposed is based on a contractual framework where the government grants leeway to the private entity regarding the timing for project implementation. However, the government is aware that delaying the beginning of operations will lead to the emergence of social costs, i.e., the costs that result from the corresponding loss of social welfare. This fact should motivate the government to include a contractual penalty in case the private firm does not implement the project immediately. The government also recognizes that the private entity is more efficient in constructing the project facility and also in running the subsequent operations. The model’s outcome is the optimal value for the legal penalty the government should include in the contract form. Sensitivity analysis reveals that there is a level for each of the comparative efficiency factors above which there is no need to impose a contractual penalty, for a given level of social costs. Finally, the effects of including a non-optimal penalty value in the contract form, which derives from overestimating or underestimating the selected bidder’s real comparative efficiency are examined, using a numerical example. Results demonstrate that overestimating (underestimating) the selected bidder’s real comparative efficiency leads to the inclusion of a below-optimal (above-optimal) value for the legal penalty in the contract and produces effects the government should prevent by estimating the comparative efficiency factors with full accurac.
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