Abstract
In order to estimate the cost of construction it is necessary to identify all the elements having expense and to provide the corresponding economic values accordingly to the level of detail of the project. Given the high number of variables characterizing the engineering project, it is required to have simplified schemes able to facilitate the study and management of the project. In particular, a civil work needs to have a concise representation through a suitable classification system, which allows to identify sets of homogeneous elements such that the complexity of the analysis is reduced. The classification systems commonly treated in literature are indeed based on the assumption that the building process can be broken down into simple elements able to give an efficient representation of the whole project.
In the present paper, we first analyze the main classification systems of civil works, highlighting features, advantages and problems. Then, starting from the classification system proposed in Italy by the UNI 8290 regulation, which has been implemented and extended to multiple levels of detail, it is defined a Work Breakdown Structure (WBS) with the aim to be the reference for the description, the economic analysis and the management of the project already in the preliminary design stage and, later, also in its final planning stages and execution. Operationally, the decomposition of the project, aimed at identifying the processes needed to ensure the production of the work site, is the first step of the procedure, which is then followed by the quantification and the subsequent allocation of unit prices resulting from price lists. In these additional steps, we resort to semi-analytical estimation procedures, which allow us to draw up the Metric Computation (MC) and the Estimate Metric Computation (EMC) also in the preliminary design phase.
The use of a simplified base model for the decomposition of the project at the stage of preliminary analysis, can improve the accuracy of cost estimates, otherwise based on rough and often significantly approximate evaluations which follow from baseless estimates when compared to the macro-processing items. Increasing the accuracy of the cost estimates is of primarily interest as it can ensure higher margins of investments in the technical and economic feasibility of the project on the territory, which may cover the infrastructures, the urban planning, the implementation of new technologies for the environment and the rational use of the land. In this way, it is possible to reduce the risk associated to the project initiative, also allowing a unique decomposition scheme of the project. Such scheme, adopted since the preliminary study, can be then integrated through the following phases of the final and executive project.
The authors equally contributed to this paper.
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References
Ashworth, A., Perera, S.: Cost Studies of Buildings. Routledge, London (2015)
Galli, D., Gentile, D., Gualandi, V.P.: Appalti Pubblici. IPSOA, Milano (2015)
Washington State Department of Transportation: Cost Estimating Manual for Project. WSDOT publications, USA (2015)
Oberlender, G.D.: Project Management for Engineering and Construction. McGraw-Hill, New York (1993)
AACE International: Recommended Practice No. 18R-97, Cost Estimate Classification System – as Applied for the Building and General Construction Industries. AACE International, USA (2011)
AACE International: Recommended Practice No. 56R-08, Cost Estimate Classification System – as Applied for the Building and General Construction Industries. AACE International, USA (2012)
Phaobunjong, K.: Parametric cost estimating model for conceptual cost estimating of building construction projects. Dissertation presented to the Faculty of the Graduate School of The University of Texas, Austin (2002)
Niazi, A., et al.: Product cost estimation: technique classification and methodology review. J. Manuf. Sci. Eng. 128(2), 563–575 (2006)
USD (AT&L): Handbook: Construction Cost Estimating, Department of Defense, USA (2011)
Mislick, G.K., Nussbaum, D.A.: Cost estimation: methods and tools. Wiley, Hoboken (2015)
De Mare, G., Morano, P.: La stima del costo delle opere pubbliche. Utet, Torino (2002)
Charette, R.P., Marshall, H.E.: UNIFORMAT II Elemental Classification for Building Specifications, Cost Estimating, and Cost Analysis. NIST, USA (1999)
ASTM E 1557-97: Standard Classification for Building Elements and Related Sitework - UNIFORMAT II. American Society for Testing and Materials, West Conshohocken, PA (1997)
Akintoye, A., Fitzgerald, E.: A survey of current cost estimating practices in the UK. Constr. Manage. Econ. 18(2), 161–172 (2000)
Benge, D.P.: NRM1 Cost Management Handbook. Routledge, London (2014)
Royal Institution of Chartered Surveyors: New Rules of Measurement. Order of Cost Estimating and Cost Planning for Capital Building Works. 2nd edn. RICS, Coventry, UK (2012)
Royal Institute of British Architects: RIBA Plan of Work 2013. RIBA, London (2013)
Building Costs Information Service: Elemental Standard Form of Cost Analysis, 4th edn. BCIS, London (2012)
Utica, G.: Ingegnerizzazione e gestione economica del progetto, vol. 1. Maggioli Editore, Rimini, Italy (2008)
Utica, G.: Tecniche avanzate di Analisi e gestione dei progetti. McGraw-Hill, Milano (2010)
Utica, G.: La stima sintetica del costo di costruzione, Il computo metrico e il computo metrico estimativo per classi di elementi tecnici. Maggioli Editore, Rimini, Italy (2011)
Tausworthe, R.C.: The work breakdown structure in software project management. J. Syst. Softw. 1, 181–186 (1980)
Haugan, G.T.: Effective Work Breakdown Structures. Management Concepts Inc., Vienna, VA (2002)
Jung, Y., Woo, S.: Flexible work breakdown structure for integrated cost and schedule control. J. Constr. Eng. Manage. 130(5), 616–625 (2004)
Miti, G.: Stima del costo di costruzione nelle opere di ingegneria civile, 2nd edn. Legislazione Tecnica, Roma (2016)
Nesticò, A., Pipolo, O.: A protocol for sustainable building interventions: financial analysis and environmental effects. Int. J. Bus. Intell. Data Min. 10(3), 199–212 (2015). doi:10.1504/IJBIDM.2015.071325. Inderscience Enterprises Ltd., Genève, Switzerland
Nesticò, A., Macchiaroli, M., Pipolo, O.: Costs and benefits in the recovery of historic buildings: the application of an economic model. Sustainability 7(11), 14661–14676 (2015). doi:10.3390/su71114661. MDPI AG, Basel, Switzerland
Bottero, M., Ferretti, V., Mondini, G.: How to support strategic decisions in territorial transformation processes. Int. J. Agric. Environ. Inf. Syst. 6(4), 40–55 (2015). doi:10.4018/IJAEIS.2015100103. IGI Global Publishing, United States
Morano, P., Tajani, F.: The break-even analysis applied to urban renewal investments: a model to evaluate the share of social housing financially sustainable for private investors. Habitat Int. 59, 10–20 (2017). doi:10.1016/j.habitatint.2016.11.004
Kim, G.H., An, S.H., Kang, K.I.: Comparison of construction cost estimating models based on regression analysis, neural networks, and casebased reasoning. Build. Environ. 39(10), 1235–1242 (2004)
Campania, R.: Prezzario dei lavori Pubblici. DEI Tipografia del Genio Civile, Roma (2015)
Mare, G., Manganelli, B., Nesticò, A.: The economic evaluation of investments in the energy sector: a model for the optimization of the scenario analyses. In: Murgante, B., Misra, S., Carlini, M., Torre, C.M., Nguyen, H.-Q., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) ICCSA 2013. LNCS, vol. 7972, pp. 359–374. Springer, Heidelberg (2013). doi:10.1007/978-3-642-39643-4_27
Calavita, N., Calabrò, F., Della Spina, L.: Transfer of development rights as incentives for regeneration of illegal settlements. In: 1th International Symposium New Metropolitan Perspectives (ISTH 2020). Advanced Engineering Forum, vol. 11, pp. 639–646. Trans Tech Publications, Switzerland (2014). doi:10.4028/www.scientific.net/AEF.11.639
Nesticò, A., Galante, M.: An estimate model for the equalisation of real estate tax: a case study. Int. J. Bus. Intell. Data Min. 10(1), 19–32 (2015). doi:10.1504/IJBIDM.2015.069038. Inderscience Enterprises Ltd., Genève, Switzerland
Aragona, S., Calabrò, F., Della Spina, L.: The evaluation culture to build a network of competitive cities in the mediterranean. In: 1th International Symposium New Metropolitan Perspectives (ISTH 2020). Advanced Engineering Forum, vol. 11, pp. 476–482. Trans Tech Publications, Switzerland (2014). doi:10.4028/www.scientific.net/AEF.11.476
Greco, I., Bencardino, M.: The paradigm of the modern city: SMART and SENSEable Cities for smart, inclusive and sustainable growth. In: Murgante, B., Misra, S., Rocha, A.M.A.C., Torre, C., Rocha, J.G., Falcão, M.I., Taniar, D., Apduhan, B.O., Gervasi, O. (eds.) ICCSA 2014. LNCS, vol. 8580, pp. 579–597. Springer, Cham (2014). doi:10.1007/978-3-319-09129-7_42
Bencardino, M.: Demographic changes and urban sprawl in two middle-sized cities of campania region (Italy). In: Gervasi, O., Murgante, B., Misra, S., Gavrilova, M.L., Rocha, A.M.A.C., Torre, C., Taniar, D., Apduhan, Bernady O. (eds.) ICCSA 2015. LNCS, vol. 9158, pp. 3–18. Springer, Cham (2015). doi:10.1007/978-3-319-21410-8_1
De Mare, G., Granata, M.F., Nesticò, A.: Weak and strong compensation for the prioritization of public investments: multidimensional analysis for pools. Sustainability 7(12), 16022–16038 (2015). doi:10.3390/su71215798. MDPI AG, Basel, Switzerland
Bencardino, M., Nesticò, A.: Demographic changes and real estate values. A quantitative model for analyzing the urban-rural linkages. Sustainability 9(4), 536 (2017). doi:10.3390/su9040536
Guarini, M.R., Buccarini, C., Battisti, F.: Technical and Economic Evaluation of a Building Recovery by Public-Private Partnership in Rome (Italy). In: Stanghellini, S., Morano, P., Bottero, M., Oppio, A. (eds.) Appraisal: From Theory to Practice. GET, pp. 101–115. Springer, Cham (2017). doi:10.1007/978-3-319-49676-4_8
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Nesticò, A., De Mare, G., Frusciante, B., Dolores, L. (2017). Construction Costs Estimate for Civil Works. A Model for the Analysis During the Preliminary Stage of the Project. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2017. ICCSA 2017. Lecture Notes in Computer Science(), vol 10408. Springer, Cham. https://doi.org/10.1007/978-3-319-62404-4_7
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