IDEAS home Printed from https://ideas.repec.org/a/spr/endesu/v25y2023i9d10.1007_s10668-022-02491-4.html
   My bibliography  Save this article

Forecasting of safe-green buildings using decision tree algorithm: data mining approach

Author

Listed:
  • Alireza Motaghifard

    (Islamic Azad University Qazvin Branch)

  • Manouchehr Omidvari

    (Islamic Azad University Qazvin Branch)

  • Abolfazl Kazemi

    (Islamic Azad University Qazvin Branch)

Abstract

Nowadays, buildings and the environment are considered as national assets. The forecasting and identification of the factors affecting the construction of safe-green buildings are of great importance. The present study seeks to identify effective models and patterns using the data mining technique and decision tree algorithms. This research was conducted on 622 buildings, such that the sampling process was performed by census method. Clementine software was used to analyze the data. In the present study, the CHAID, QUEST, CART, and C5 algorithms were implemented, predicted, and compared on the dataset. Variables were used in four fields of health, safety, environment, and energy management (HSEE), as well as four scopes of structure, architecture, mechanical facilities, and electrical installations as predictive variables of the decision tree. The situation of construction competency was addressed as a dependent binary variable from the perspective of the safe-green building. The results of the decision tree analysis showed that the type of glass, fire alarm system, and emergency rescue system in the field of safety and energy management, health and type of structure (consumables) in the field of environment in the classification of buildings based on safe-green model were of the highest importance. By developing a model based on data mining techniques and considering the simple interpretation of the decision tree and the comprehensibility of its extracted rules, the results of this research can help building experts at different levels of decision-making and in all stages of construction, operation, building rating, and the definition of determining premiums.

Suggested Citation

  • Alireza Motaghifard & Manouchehr Omidvari & Abolfazl Kazemi, 2023. "Forecasting of safe-green buildings using decision tree algorithm: data mining approach," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(9), pages 10323-10350, September.
    • Handle: RePEc:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02491-4
    DOI: 10.1007/s10668-022-02491-4
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10668-022-02491-4
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s10668-022-02491-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Martínez-Zarzoso, Inmaculada & Maruotti, Antonello, 2011. "The impact of urbanization on CO2 emissions: Evidence from developing countries," Ecological Economics, Elsevier, vol. 70(7), pages 1344-1353, May.
    2. Thomas Astebro & Gongyue Chen, 2003. "How to Deal with Missing Categorical Data: Test of a Simple Bayesian Method," Post-Print hal-00477167, HAL.
    3. Shuai, Chenyang & Shen, Liyin & Jiao, Liudan & Wu, Ya & Tan, Yongtao, 2017. "Identifying key impact factors on carbon emission: Evidences from panel and time-series data of 125 countries from 1990 to 2011," Applied Energy, Elsevier, vol. 187(C), pages 310-325.
    4. Colton, M.D. & Laurent, J.G.C. & MacNaughton, P. & Kane, J. & Bennett-Fripp, M. & Spengler, J. & Adamkiewicz, G., 2015. "Health benefits of green public housing: Associations with asthma morbidity and building-related symptoms," American Journal of Public Health, American Public Health Association, vol. 105(12), pages 2482-2489.
    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. Lars Sorge & Anne Neumann, 2019. "The Impact of Population, Affluence, Technology, and Urbanization on CO2 Emissions across Income Groups," Discussion Papers of DIW Berlin 1812, DIW Berlin, German Institute for Economic Research.
    2. Jiancheng Qin & Hui Tao & Minjin Zhan & Qamar Munir & Karthikeyan Brindha & Guijin Mu, 2019. "Scenario Analysis of Carbon Emissions in the Energy Base, Xinjiang Autonomous Region, China," Sustainability, MDPI, vol. 11(15), pages 1-18, August.
    3. Wu, Rong & Wang, Jieyu & Wang, Shaojian & Feng, Kuishuang, 2021. "The drivers of declining CO2 emissions trends in developed nations using an extended STIRPAT model: A historical and prospective analysis," Renewable and Sustainable Energy Reviews, Elsevier, vol. 149(C).
    4. Xiaoqing Lin & Chunyan Lu & Kaishan Song & Ying Su & Yifan Lei & Lianxiu Zhong & Yibin Gao, 2020. "Analysis of Coupling Coordination Variance between Urbanization Quality and Eco-Environment Pressure: A Case Study of the West Taiwan Strait Urban Agglomeration, China," Sustainability, MDPI, vol. 12(7), pages 1-19, March.
    5. Zhang, Yingjie & Zhang, Tianzheng & Zeng, Yingxiang & Cheng, Baodong & Li, Hongxun, 2021. "Designating National Forest Cities in China: Does the policy improve the urban living environment?," Forest Policy and Economics, Elsevier, vol. 125(C).
    6. Li, Kunming & Fang, Liting & He, Lerong, 2019. "How population and energy price affect China's environmental pollution?," Energy Policy, Elsevier, vol. 129(C), pages 386-396.
    7. Kangyin Dong & Yalin Han & Yue Dou & Muhammad Shahbaz, 2022. "Moving toward carbon neutrality: Assessing natural gas import security and its impact on CO2 emissions," Sustainable Development, John Wiley & Sons, Ltd., vol. 30(4), pages 751-770, August.
    8. Hu, Zongyi & Tang, Liwei, 2013. "Exploring the relation between urbanization and residential CO2 emissions in China: a PTR approach," MPRA Paper 55379, University Library of Munich, Germany.
    9. Dong, Kangyin & Dong, Xiucheng & Jiang, Qingzhe & Zhao, Jun, 2021. "Assessing energy resilience and its greenhouse effect: A global perspective," Energy Economics, Elsevier, vol. 104(C).
    10. Razzaq, Asif & Sharif, Arshian & Ozturk, Ilhan & Skare, Marinko, 2022. "Inclusive infrastructure development, green innovation, and sustainable resource management: Evidence from China’s trade-adjusted material footprints," Resources Policy, Elsevier, vol. 79(C).
    11. Du, Xiaoyun & Meng, Conghui & Guo, Zhenhua & Yan, Hang, 2023. "An improved approach for measuring the efficiency of low carbon city practice in China," Energy, Elsevier, vol. 268(C).
    12. George Kyriakarakos & Athanasios T. Balafoutis & Dionysis Bochtis, 2020. "Proposing a Paradigm Shift in Rural Electrification Investments in Sub-Saharan Africa through Agriculture," Sustainability, MDPI, vol. 12(8), pages 1-19, April.
    13. Yanyan Ke & Lu Zhou & Minglei Zhu & Yan Yang & Rui Fan & Xianrui Ma, 2023. "Scenario Prediction of Carbon Emission Peak of Urban Residential Buildings in China’s Coastal Region: A Case of Fujian Province," Sustainability, MDPI, vol. 15(3), pages 1-17, January.
    14. Gudipudi, Ramana & Rybski, Diego & Lüdeke, Matthias K.B. & Zhou, Bin & Liu, Zhu & Kropp, Jürgen P., 2019. "The efficient, the intensive, and the productive: Insights from urban Kaya scaling," Applied Energy, Elsevier, vol. 236(C), pages 155-162.
    15. Florian Grosset & Phu Nguyen Van, 2016. "Consommation d’énergie et croissance économique en Afrique subsaharienne," Mondes en développement, De Boeck Université, vol. 0(4), pages 25-42.
    16. Poumanyvong, Phetkeo & Kaneko, Shinji & Dhakal, Shobhakar, 2012. "Impacts of urbanization on national transport and road energy use: Evidence from low, middle and high income countries," Energy Policy, Elsevier, vol. 46(C), pages 268-277.
    17. Nan, Shijing & Huo, Yuchen & You, Wanhai & Guo, Yawei, 2022. "Globalization spatial spillover effects and carbon emissions: What is the role of economic complexity?," Energy Economics, Elsevier, vol. 112(C).
    18. Wang, Sophie Xuefei & Fu, Yu Benjamin & Zhang, Zhe George, 2015. "Population growth and the environmental Kuznets curve," China Economic Review, Elsevier, vol. 36(C), pages 146-165.
    19. Jun Bai & Shixiang Li & Nan Wang & Jianru Shi & Xianmin Li, 2020. "Spatial Spillover Effect of New Energy Development on Economic Growth in Developing Areas of China—An Empirical Test Based on the Spatial Dubin Model," Sustainability, MDPI, vol. 12(8), pages 1-17, April.
    20. Arminen, Heli & Menegaki, Angeliki N., 2019. "Corruption, climate and the energy-environment-growth nexus," Energy Economics, Elsevier, vol. 80(C), pages 621-634.

    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:spr:endesu:v:25:y:2023:i:9:d:10.1007_s10668-022-02491-4. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.