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Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method

Author

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  • Agnieszka Leśniak

    (Institute of Management in Construction, Faculty of Civil Engineering, Cracow University of Technology, 31-155 Krakow, Poland)

  • Krzysztof Zima

    (Institute of Management in Construction, Faculty of Civil Engineering, Cracow University of Technology, 31-155 Krakow, Poland)

Abstract

The idea of sustainable development and the resulting environmentally friendly attitudes are increasingly used in construction projects. Designing in accordance with the principles of sustainable development has an impact on the costs of construction works. The authors of this paper proposed an approach to estimate the costs of sports field construction using the Case Based Reasoning method. In their analysis, they distinguished 16 factors that affect the cost of a construction project and are possible to already be described at an early stage of its preparation. The original elements of the work include: consideration of such environmental factors as the environmental impact of the building, materials used, the impact of the facility on the surroundings affecting the amount of implementation costs and development of own database containing 143 construction projects that are related to sports fields. In order to calculate the similarity of cases, different calculation formulas were applied depending on the type of data (quantitative, qualitative, uncertain, no data). The obtained results confirmed that the CBR method based on historical data and using criteria related to sustainable development may be useful in cost estimation in the initial phase of a construction project. Its application to the calculation of the costs that are related to the implementation of sports fields generates an error of 14%, which is a very good result for initial calculations. In the short run, such factors as the impact of the object and the type of materials that are used from the perspective of their influence on the environment may be decisive as far as the costs determined in the life cycle of the building are concerned, as well as the lowest costs of the building construction ensuring the appropriate quality and respect for the environment.

Suggested Citation

  • Agnieszka Leśniak & Krzysztof Zima, 2018. "Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method," Sustainability, MDPI, vol. 10(5), pages 1-14, May.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:5:p:1608-:d:146849
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    References listed on IDEAS

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    1. Margaret Emsley & David Lowe & A. Roy Duff & Anthony Harding & Adam Hickson, 2002. "Data modelling and the application of a neural network approach to the prediction of total construction costs," Construction Management and Economics, Taylor & Francis Journals, vol. 20(6), pages 465-472.
    2. Jozef Švajlenka & Mária Kozlovská, 2018. "Houses Based on Wood as an Ecological and Sustainable Housing Alternative—Case Study," Sustainability, MDPI, vol. 10(5), pages 1-20, May.
    3. Wojciech Bonenberg & Oleg Kapliński, 2018. "The Architect and the Paradigms of Sustainable Development: A Review of Dilemmas," Sustainability, MDPI, vol. 10(1), pages 1-15, January.
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    2. Wang, Ge & Li, Yang & Zuo, Jian & Hu, Wenbo & Nie, Qingwei & Lei, Heqian, 2021. "Who drives green innovations? Characteristics and policy implications for green building collaborative innovation networks in China," Renewable and Sustainable Energy Reviews, Elsevier, vol. 143(C).
    3. Basem Al Khatib & Yap Soon Poh & Ahmed El-Shafie, 2019. "Materials Challenges in Reconstruction of Historical Projects: A Case Study of the Old Riwaq Project," Sustainability, MDPI, vol. 11(17), pages 1-19, August.
    4. Zhengxun Jin & Jonghyeob Kim & Chang-taek Hyun & Sangwon Han, 2019. "Development of a Model for Predicting Probabilistic Life-Cycle Cost for the Early Stage of Public-Office Construction," Sustainability, MDPI, vol. 11(14), pages 1-18, July.
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    6. Boda Liu & Bin Yang & Jianzhuang Xiao & Dayu Zhu & Binghan Zhang & Zhichen Wang & Miaosi Dong, 2021. "Review of Optimization Dynamically Applied in the Construction and the Application Potential of ICT," Sustainability, MDPI, vol. 13(10), pages 1-18, May.
    7. Jarosław Konior & Mariusz Szóstak, 2020. "Methodology of Planning the Course of the Cumulative Cost Curve in Construction Projects," Sustainability, MDPI, vol. 12(6), pages 1-22, March.
    8. Janusz Kulejewski & Jerzy Rosłon, 2023. "Optimization of Ecological and Economic Aspects of the Construction Schedule with the Use of Metaheuristic Algorithms and Artificial Intelligence," Sustainability, MDPI, vol. 15(1), pages 1-26, January.
    9. Daniel Wałach, 2020. "Analysis of Factors Affecting the Environmental Impact of Concrete Structures," Sustainability, MDPI, vol. 13(1), pages 1-14, December.
    10. Edmundas Kazimieras Zavadskas & Jonas Šaparauskas & Jurgita Antucheviciene, 2018. "Sustainability in Construction Engineering," Sustainability, MDPI, vol. 10(7), pages 1-7, June.
    11. Fengchang Jiang & John Awaitey & Haiyan Xie, 2022. "Analysis of Construction Cost and Investment Planning Using Time Series Data," Sustainability, MDPI, vol. 14(3), pages 1-16, February.
    12. Nahyun Kwon & Joosung Lee & Moonsun Park & Inseok Yoon & Yonghan Ahn, 2019. "Performance Evaluation of Distance Measurement Methods for Construction Noise Prediction Using Case-Based Reasoning," Sustainability, MDPI, vol. 11(3), pages 1-18, February.
    13. Wojciech Drozd & Agnieszka Leśniak, 2018. "Ecological Wall Systems as an Element of Sustainable Development—Cost Issues," Sustainability, MDPI, vol. 10(7), pages 1-15, June.

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