IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v12y2019i1p59-d299957.html
   My bibliography  Save this article

The Modelling of Roof Installation Projects Using Decision Trees and the AHP Method

Author

Listed:
  • Augustinas Maceika

    (The Faculty of Mechanics, Vilnius Gediminas Technical University, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
    Current address: Sauletekio ave. 11, LT-10223 Vilnius, Lithuania.
    These authors contributed equally to this work.)

  • Andrej Bugajev

    (The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
    Current address: Sauletekio ave. 11, LT-10223 Vilnius, Lithuania.
    These authors contributed equally to this work.)

  • Olga R. Šostak

    (The Faculty of Fundamental Sciences, Vilnius Gediminas Technical University, Sauletekio ave. 11, LT-10223 Vilnius, Lithuania
    Current address: Sauletekio ave. 11, LT-10223 Vilnius, Lithuania.
    These authors contributed equally to this work.)

Abstract

In this work, the process of roofing projects’ execution is considered. The proper analysis of this process is important to optimise the behaviour of a project’s participants and to perform risk evaluation. The main result of this work is methodology, which can be used to optimise a project owner’s decisions and potentially can be applied for risk control or integrated into expert systems. This methodology includes the application of a decision tree and AHP (analytic hierarchy process) method to perform the modelling for roof installation project selection. In the proposed approach, a decision tree describes the process with nodes representing the states of a project. The tree includes the decision on whether to sell the project results or not, which requires the estimation of the subjective opinion of the project owner. These subjective values are used in the decision tree leaves. We propose to perform this estimation with the AHP method and describe how to do it in this paper. A particular example was considered. The proposed methodology was applied to that case, and all details of the process and results are provided. Using the proposed methodology, the adapted version of a specific, current situation model of project participants’ behaviours can be formed, allowing one to make the most efficient decisions in the light of the existing constraints. The application of results can increase the investor protection and contribute to the general sustainability of investments.

Suggested Citation

  • Augustinas Maceika & Andrej Bugajev & Olga R. Šostak, 2019. "The Modelling of Roof Installation Projects Using Decision Trees and the AHP Method," Sustainability, MDPI, vol. 12(1), pages 1-21, December.
    • Handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:59-:d:299957
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/12/1/59/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/12/1/59/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Sofie R. Waltl, 2019. "Variation Across Price Segments and Locations: A Comprehensive Quantile Regression Analysis of the Sydney Housing Market," Real Estate Economics, American Real Estate and Urban Economics Association, vol. 47(3), pages 723-756, September.
    2. Kaixun Sha, 2019. "Incentive strategies for construction project manager: a common agency perspective," Construction Management and Economics, Taylor & Francis Journals, vol. 37(8), pages 461-471, August.
    3. Andrej Bugajev & Olga R. Šostak, 2018. "An Algorithm for Modelling the Impact of the Judicial Conflict-Resolution Process on Construction Investment," Sustainability, MDPI, vol. 10(1), pages 1-17, January.
    4. Saam, Nicole J., 2007. "Asymmetry in information versus asymmetry in power: Implicit assumptions of agency theory?," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 36(6), pages 825-840, December.
    5. repec:grz:wpaper:2015-09 is not listed on IDEAS
    6. Picarelli, Nathalie, 2019. "There Is No Free House," Journal of Urban Economics, Elsevier, vol. 111(C), pages 35-52.
    7. Kokaraki, Nikoleta & Hopfe, Christina J. & Robinson, Elaine & Nikolaidou, Elli, 2019. "Testing the reliability of deterministic multi-criteria decision-making methods using building performance simulation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 112(C), pages 991-1007.
    8. Anna Wojewnik-Filipkowska & Joanna Węgrzyn, 2019. "Understanding of Public–Private Partnership Stakeholders as a Condition of Sustainable Development," Sustainability, MDPI, vol. 11(4), pages 1-16, February.
    9. Fuerst, Franz & Warren-Myers, Georgia, 2018. "Does voluntary disclosure create a green lemon problem? Energy-efficiency ratings and house prices," Energy Economics, Elsevier, vol. 74(C), pages 1-12.
    10. Tolga A. Ozbakan & Serdar Kale & Irem Dikmen, 2019. "Exploring House Price Dynamics: An Agent-Based Simulation with Behavioral Heterogeneity," Computational Economics, Springer;Society for Computational Economics, vol. 54(2), pages 783-807, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Augustinas Maceika & Andrej Bugajev & Olga Regina Šostak & Tatjana Vilutienė, 2021. "Decision Tree and AHP Methods Application for Projects Assessment: A Case Study," Sustainability, MDPI, vol. 13(10), pages 1-33, May.
    2. Trojanek, Radoslaw & Gluszak, Michal, 2022. "Short-run impact of the Ukrainian refugee crisis on the housing market in Poland," Finance Research Letters, Elsevier, vol. 50(C).
    3. Lepinteur, Anthony & Waltl, Sofie R., 2020. "Tracking Owners' Sentiments: Subjective Home Values, Expectations and House Price Dynamics," Department of Economics Working Paper Series 299, WU Vienna University of Economics and Business.
    4. Evangelista, Rui & Ramalho, Esmeralda A. & Andrade e Silva, João, 2020. "On the use of hedonic regression models to measure the effect of energy efficiency on residential property transaction prices: Evidence for Portugal and selected data issues," Energy Economics, Elsevier, vol. 86(C).
    5. Manea, Roxana Elena & Piraino, Patrizio & Viarengo, Martina, 2023. "Crime, inequality and subsidized housing: Evidence from South Africa," World Development, Elsevier, vol. 168(C).
    6. Han Zhang & Shiying Shi & Fangfang Zhao & Xiaosu Ye & Hanyue Qi, 2023. "A Study on the Impact of Team Interdependence on Cooperative Performance in Public–Private Partnership Projects: The Moderating Effect of Government Equity Participation," Sustainability, MDPI, vol. 15(17), pages 1-22, August.
    7. Mats Wilhelmsson, 2019. "Energy Performance Certificates and Its Capitalization in Housing Values in Sweden," Sustainability, MDPI, vol. 11(21), pages 1-16, November.
    8. Kholodilin, Konstantin A. & Limonov, Leonid E. & Waltl, Sofie R., 2021. "Housing rent dynamics and rent regulation in St. Petersburg (1880–1917)," EconStor Open Access Articles and Book Chapters, ZBW - Leibniz Information Centre for Economics, vol. 81.
    9. Antonio Nesticò & Marianna La Marca, 2020. "Urban Real Estate Values and Ecosystem Disservices: An Estimate Model Based on Regression Analysis," Sustainability, MDPI, vol. 12(16), pages 1-15, August.
    10. Cho, Hyejin & Ahn, He Soung, 2017. "Stock payment and the effects of institutional and cultural differences: A study of shareholder value creation in cross-border M&As," International Business Review, Elsevier, vol. 26(3), pages 461-475.
    11. Qi Rong & Liangfeng Shen, 2022. "Study on the Ecological Operation Model of Settlements Based on Social Network Analysis: Stakeholder Perspective," Sustainability, MDPI, vol. 14(21), pages 1-17, October.
    12. Taruttis, Lisa & Weber, Christoph, 2022. "Estimating the impact of energy efficiency on housing prices in Germany: Does regional disparity matter?," Energy Economics, Elsevier, vol. 105(C).
    13. Roberta Moschetti & Shabnam Homaei & Ellika Taveres-Cachat & Steinar Grynning, 2022. "Assessing Responsive Building Envelope Designs through Robustness-Based Multi-Criteria Decision Making in Zero-Emission Buildings," Energies, MDPI, vol. 15(4), pages 1-27, February.
    14. Evangelista, Rui & Silva, João Andrade e & Ramalho, Esmeralda A., 2022. "How heterogeneous is the impact of energy efficiency on dwelling prices? Evidence from the application of the unconditional quantile hedonic model to the Portuguese residential market," Energy Economics, Elsevier, vol. 109(C).
    15. Felipe Encinas & Carlos Marmolejo-Duarte & Elizabeth Wagemann & Carlos Aguirre, 2019. "Energy-Efficient Real Estate or How It Is Perceived by Potential Homebuyers in Four Latin American Countries," Sustainability, MDPI, vol. 11(13), pages 1-24, June.
    16. Forde, Joe & Hopfe, Christina J. & McLeod, Robert S. & Evins, Ralph, 2020. "Temporal optimization for affordable and resilient Passivhaus dwellings in the social housing sector," Applied Energy, Elsevier, vol. 261(C).
    17. Franklin, Simon, 2020. "Enabled to work: The impact of government housing on slum dwellers in South Africa," Journal of Urban Economics, Elsevier, vol. 118(C).
    18. Sharon Kwaramba & Stanley Murairwa, 2022. "Enhancing the quality of decisions by administrators: A framework for identifying, classifying and engaging primary school stakeholders in Harare, Zimbabwe," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 6(1), pages 46-56, January.
    19. Georgiana - Janina SOARE, 2021. "Analysis Of The Influencing Factors Regarding The Improvement Of The Internal Managerial Control And Of The Internal Audit At The Entities Of Public Interest," Contemporary Economy Journal, Constantin Brancoveanu University, vol. 6(2), pages 67-76.
    20. HILL Robert J. & STEURER Miriam & WALTL Sofie R., 2018. "Owner Occupied Housing in the CPI and Its Impact On Monetary Policy During Housing Booms and Busts," LISER Working Paper Series 2018-05, Luxembourg Institute of Socio-Economic Research (LISER).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:12:y:2019:i:1:p:59-:d:299957. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.