PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

Analysis of Road Construction Projects Price Changes in the Selected Phases of their Life-Cycle

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This paper deals with an analysis of causes that lead to the change in price (value of construction costs) of road infrastructure projects in selected phases of the building structure life-cycle, more specifically procurement and construction phases, with the aim to refine the price estimation in the Estimated Value determination phase. The sample of regional road construction projects in the South Moravian Region (Czech Republic) documentation forms the basis for the research. The methodological procedure is aimed at monitoring changes in the value of construction costs during the preparation and implementation phase of the construction. Estimated values, contract prices and actual prices of individual projects are compared to determine them and the reasons for their differences are discussed. The changes (decrease) in the values of construction costs determined by estimated value and contract price show the strong influence of the construction market and the interest of construction companies in the implementation of public works contracts in the field of road infrastructure projects. The relative differences range up to 47%. The changes (increase) in construction costs determined by contract price and actual price are much lower, up to 13%, and result from specific situations during the implementation of the construction, for which subsoil bearing capacity problems and material changes were determined as the most significant.
Rocznik
Strony
37--46
Opis fizyczny
Bibliogr. 20 poz., tab., wykr.
Twórcy
  • Brno University of Technology, Faculty of Civil Engineering, Czech Republic
  • Brno University of Technology, Faculty of Civil Engineering, Czech Republic
Bibliografia
  • Adel, K., Elyamany, A., Belal, A. M. & Kotb, A. S. (2016). Developing parametric model for conceptual cost estimate of highway projects. International Journal of Engineering Science, 6 (7), 1728–1734.
  • Bhaskaran, R., Palaniswamy, N. & Rengaswamy, N. S. (2006). Life-cycle cost analysis of a concrete road bridge across open sea. Materials Performance, 45 (10), 51–55.
  • Cantarelli, C. C., Flyvbjerg, B., Molin, E. J. & Wee, B. van (2010). Cost overruns in largescale transportation infrastructure projects: explanations and their theoretical embeddedness. European Journal of Transport and Infrastructure Research, 10 (1). https://doi.org/10.18757/ejtir.2010.10.1.2864
  • Chong, U. & Hopkins, O. (2016). An international experience on the evolution of road costs during the project life cycle. Transport Policy, 48, 60–66. https://doi.org/10.1016/j.tranpol.2016.02.010
  • Hanák, T. & Muchová, P. (2015). Impact of competition on prices in public sector procurement. Procedia Computer Science, 64, 729–735. https://doi.org/10.1016/j.procs.2015.08.601
  • Hanák, T. & Serrat, C. (2018). Analysis of construction auctions data in Slovak public procurement. Advances in Civil Engineering, 2018, 1–13. https://doi.org/10.1155/2018/9036340
  • Kennedy, J., Pantelias, A., Makovšek, D., Grewe, K. & Sindall, J. (2018). Risk pricing in infrastructure delivery: making procurement less costly. Paris: International Transport Forum. Retrieved from: https://www.itf-oecd.org/sites/default/files/docs/risk-pricing-infrastructure-delivery_1.pdf
  • Korytárová, J. & Papežíková, P. (2015). Assessment of large-scale projects based on CBA. Procedia Computer Science, 64, 736–743.
  • Loulizi, A., Bichiou, Y. & Rakha, H. (2019). Use of life cycle cost analysis and multiple criteria decision aid tools for designing road vertical profiles. Sustainability, 11 (24), 7127. https://doi.org/10.3390/su11247127
  • Makovšek, D., Tominc, P. & Logožar, K. (2012). A cost performance analysis of transport infrastructure construction in Slovenia. Transportation, 39 (1), 197–214. https://doi.org/10.1007/s11116-011-9319-z
  • Nyström, J. & Mandell, S. (2019). Skew to win, not to profit – unbalanced bidding among informed bidders. Journal of Public Procurement, 19 (1), 46–54. https://doi.org/10.1108/JOPP-03-2019-024
  • Odeck, J., Welde, M. & Volden, G. H. (2015). The impact of external quality assurance of costs estimates on cost overruns: empirical evidence from the norwegian road sector. European Journal of Transport and Infrastructure Research, 15 (3), 286–303. https://doi.org/10.18757/ejtir.2015.15.3.3079
  • Peško, I., Mučenski, V., Šešlija, M., Radović, N., Vujkov, A., Bibić, D. & Krklješ, M. (2017). Estimation of costs and durations of construction of urban roads using ANN and SVM. Complexity, 2017, 2450370. https://doi.org/10.1155/2017/2450370
  • Petroutsatou, K., Georgopoulos, E., Lambropoulos, S., & Pantouvakis, J. P. (2012). Early cost estimating of road tunnel construction using neural networks. Journal of Construction Engineering and Management, 138 (6), 679-687. https://doi.org/10.1061/(asce)co.1943-862.0000479
  • Petrusheva, S., Car-Pušić, D. & Zileska-Pancovska, V. (2019). Support vector machine based hybrid model for prediction of road structures construction costs. IOP Conference Series: Earth and Environmental Science, 222 (1), 012010. https://doi.org/10.1088/1755-1315/222/1/012010
  • Pilger, J. D., Machado, E. L., Assis Lawisch-Rodriguez, A. de, Zappe, A. L. & Rodriguez-Lopez, D. A. (2020). Environmental impacts and cost overrun derived from adjustments of a road construction project setting. Journal of Cleaner Production, 256, 120731. https://doi.org/10.1016/j.jclepro.2020.120731
  • Susanti, B., Wirahadikusumah, R. D., Soemardi, B. W. & Sutrisno, M. (2019). Life cycle cost analysis of a PBC pilot projector for road in Indonesia. IIUM Engineering Journal, 20 (2), 57–69. https://doi.org/10.31436/iiumej.v20i2.1075
  • Tijanić, K., Car-Pušić, D. & Šperac, M. (2020). Cost estimation in road construction using artificial neural network. Neural Computing and Applications, 32 (13), 9343–9355. https://doi.org/10.1007/s00521-019-04443-y
  • Wang, Y. R., Yu, C. Y. & Chan, H. H. (2012). Predicting construction cost and schedule success using artificial neural networks ensemble and support vector machines classification models. International Journal of Project Management, 30 (4), 470–478. https://doi.org/10.1016/j.ijproman.2011.09.002
  • Zákon ze dne 19. dubna 2016 o zadávání veřejných zakázek. 134/2016 Sb
Uwagi
Opracowanie rekordu ze środków MEiN, umowa nr SONP/SP/546092/2022 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2022-2023)
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-5108d570-fde1-4d96-b240-0a5b63d6b45a
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.