IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v13y2021i15p8585-d606555.html
   My bibliography  Save this article

Information Modelling Management and Green Public Procurement for Waste Management and Environmental Renovation of Brownfields

Author

Listed:
  • Laura Pellegrini

    (Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Mirko Locatelli

    (Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Silvia Meschini

    (Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Giulia Pattini

    (Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Elena Seghezzi

    (Department of Architecture, Built Environment and Construction Engineering, Politecnico di Milano, 20133 Milano, Italy)

  • Lavinia Chiara Tagliabue

    (Department of Computer Science, University of Turin, 10149 Turin, Italy)

  • Giuseppe Martino Di Giuda

    (Department of Management, University of Turin, 10134 Turin, Italy)

Abstract

Information Modelling and Management (IMM) methods for Most Economically Advantageous Tender (MEAT) can promote the adoption of environmentally sustainable practices. Despite the wide regulatory framework and existing drivers, Construction and Demolition Waste (CDW) trends are still growing. The literature review analyzed IMM and CDW management implementation during design phases although few studies focused on Green Public Procurement (GPP) and CDW management integration from the Public Client’s point of view. This research aims at investigating the integration and efficiency of MEAT and IMM to promote the application of sustainable strategies focused on waste reduction and resource valorization. The study investigates the Public Client’s role in promoting sustainable practices, introducing digital material inventory and BIM during the design phases, and including environmental award criteria in the call for tender documents. A Design Build (DB) procurement model was considered in the case study of a brownfield renovation and the construction of a new school in northern Italy. The methodology provided the Public Client and included a method to evaluate the environmental impact of the bids, allowing for proper selective demolition planning, CDW decrease, and organization while promoting their integration in companies’ expertise and procedures. The replicability of the methodology is demonstrated by positive results of present and previous case studies.

Suggested Citation

  • Laura Pellegrini & Mirko Locatelli & Silvia Meschini & Giulia Pattini & Elena Seghezzi & Lavinia Chiara Tagliabue & Giuseppe Martino Di Giuda, 2021. "Information Modelling Management and Green Public Procurement for Waste Management and Environmental Renovation of Brownfields," Sustainability, MDPI, vol. 13(15), pages 1-31, August.
    • Handle: RePEc:gam:jsusta:v:13:y:2021:i:15:p:8585-:d:606555
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/13/15/8585/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2071-1050/13/15/8585/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Lu, Weisheng & Webster, Chris & Chen, Ke & Zhang, Xiaoling & Chen, Xi, 2017. "Computational Building Information Modelling for construction waste management: Moving from rhetoric to reality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 587-595.
    2. M. M. M. Teo & M. Loosemore, 2001. "A theory of waste behaviour in the construction industry," Construction Management and Economics, Taylor & Francis Journals, vol. 19(7), pages 741-751.
    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. Serenari, Christopher & Bosak, Keith & Attarian, Aram, 2013. "Cross-cultural efficacy of American low-impact programs: A comparison between Garhwal guide beliefs on environmental behavior and American outdoor travel norms," Tourism Management, Elsevier, vol. 34(C), pages 50-60.
    2. Udawatta, Nilupa & Zuo, Jian & Chiveralls, Keri & Zillante, George, 2015. "Improving waste management in construction projects: An Australian study," Resources, Conservation & Recycling, Elsevier, vol. 101(C), pages 73-83.
    3. Farrelly, Trisia & Tucker, Corrina, 2014. "Action research and residential waste minimisation in Palmerston North, New Zealand," Resources, Conservation & Recycling, Elsevier, vol. 91(C), pages 11-26.
    4. Esa, Mohd Reza & Halog, Anthony & Rigamonti, Lucia, 2017. "Strategies for minimizing construction and demolition wastes in Malaysia," Resources, Conservation & Recycling, Elsevier, vol. 120(C), pages 219-229.
    5. Heni Fitriani & Saheed Ajayi & Sunkuk Kim, 2022. "Analysis of the Underlying Causes of Waste Generation in Indonesia’s Construction Industry," Sustainability, MDPI, vol. 15(1), pages 1-18, December.
    6. Vivian Tam & C. M. Tam & L. Y. Shen & S. X. Zeng & C. M. Ho, 2006. "Environmental performance assessment: perceptions of project managers on the relationship between operational and environmental performance indicators," Construction Management and Economics, Taylor & Francis Journals, vol. 24(3), pages 287-299.
    7. Gi-Wook Cha & Young-Chan Kim & Hyeun Jun Moon & Won-Hwa Hong, 2017. "The Effects of Data Collection Method and Monitoring of Workers’ Behavior on the Generation of Demolition Waste," IJERPH, MDPI, vol. 14(10), pages 1-14, October.
    8. Michael Pitt & Andrew Smith, 2003. "An assessment of waste management efficiency at BAA airports," Construction Management and Economics, Taylor & Francis Journals, vol. 21(4), pages 421-431.
    9. Wang, Jiayuan & Li, Zhengdao & Tam, Vivian W.Y., 2014. "Critical factors in effective construction waste minimization at the design stage: A Shenzhen case study, China," Resources, Conservation & Recycling, Elsevier, vol. 82(C), pages 1-7.
    10. Wen-Der Yu & Shao-Shung Lo, 2005. "Time-dependent construction social costs model," Construction Management and Economics, Taylor & Francis Journals, vol. 23(3), pages 327-337.
    11. Dongchen Han & Mohsen Kalantari & Abbas Rajabifard, 2021. "Building Information Modeling (BIM) for Construction and Demolition Waste Management in Australia: A Research Agenda," Sustainability, MDPI, vol. 13(23), pages 1-22, November.
    12. Isabel Jordan-Palomar & Patricia Tzortzopoulos & Jorge García-Valldecabres & Eugenio Pellicer, 2018. "Protocol to Manage Heritage-Building Interventions Using Heritage Building Information Modelling (HBIM)," Sustainability, MDPI, vol. 10(4), pages 1-19, March.
    13. Charef, Rabia & Ganjian, Eshmaiel & Emmitt, Stephen, 2021. "Socio-economic and environmental barriers for a holistic asset lifecycle approach to achieve circular economy: A pattern-matching method," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    14. Lu, Weisheng & Webster, Chris & Chen, Ke & Zhang, Xiaoling & Chen, Xi, 2017. "Computational Building Information Modelling for construction waste management: Moving from rhetoric to reality," Renewable and Sustainable Energy Reviews, Elsevier, vol. 68(P1), pages 587-595.
    15. Li, Jingru & Tam, Vivian W.Y. & Zuo, Jian & Zhu, Jiaolan, 2015. "Designers’ attitude and behaviour towards construction waste minimization by design: A study in Shenzhen, China," Resources, Conservation & Recycling, Elsevier, vol. 105(PA), pages 29-35.
    16. Pitt, Michael & Smith, Andrew, 2003. "Waste management efficiency at UK airports," Journal of Air Transport Management, Elsevier, vol. 9(2), pages 103-111.
    17. Jiménez-Rivero, Ana & García-Navarro, Justo, 2017. "Exploring factors influencing post-consumer gypsum recycling and landfilling in the European Union," Resources, Conservation & Recycling, Elsevier, vol. 116(C), pages 116-123.
    18. Park, Joo Young, 2014. "Assessing determinants of industrial waste reuse: The case of coal ash in the United States," Resources, Conservation & Recycling, Elsevier, vol. 92(C), pages 116-127.
    19. Zhikun Ding & Wenyan Gong & Shenghan Li & Zezhou Wu, 2018. "System Dynamics versus Agent-Based Modeling: A Review of Complexity Simulation in Construction Waste Management," Sustainability, MDPI, vol. 10(7), pages 1-13, July.
    20. Bakshan, Amal & Srour, Issam & Chehab, Ghassan & El-Fadel, Mutasem & Karaziwan, Jalal, 2017. "Behavioral determinants towards enhancing construction waste management: A Bayesian Network analysis," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 274-284.

    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:13:y:2021:i:15:p:8585-:d:606555. 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.