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  1. Article: A probabilistic predictive model for assessing the economic reusability of load-bearing building components: Developing a Circular Economy framework

    Rakhshan, Kambiz / Morel, Jean-Claude / Daneshkhah, Alireza

    Institution of Chemical Engineers Sustainable Production and Consumption. 2021 July, v. 27

    2021  

    Abstract: The reuse of load-bearing building components has the potential to promote the circular economy in the building sector. One recent aspect of the efforts to improve reuse rates in buildings is estimating the reusability of the structural elements. This ... ...

    Abstract The reuse of load-bearing building components has the potential to promote the circular economy in the building sector. One recent aspect of the efforts to improve reuse rates in buildings is estimating the reusability of the structural elements. This study develops a probabilistic predictive model using advanced supervised machine learning methods to evaluate the economic reusability of the load-bearing building elements. The results of sensitivity analysis and visualization techniques used in this study reveal that the most important economic factor is the need to purchase reused elements early in a project, which could have cash flow implications. The other most important factors are the potential financial risks, the procurement process, and the labour cost. This study unveils that the relationship between variables is not linear, and none of the identified factors could alone determine if an element is reusable or not. This study concludes that the complex interdependencies of factors affecting reuse cause a high level of uncertainty about the feasibility of reusing the load-bearing building structural components from an economic aspect. Nonetheless, this paper reveals that by using the probability theory foundations and combining it with advanced supervised machine learning methods, it is possible to develop tools that could reliably estimate the economic reusability of these elements based on affecting variables. Therefore, the authors suggest utilizing the approach developed in this research to promote the circularity of materials in different subsectors of the construction industry.
    Keywords circular economy ; construction industry ; economic factors ; mathematical theory ; uncertainty ; wages and remuneration
    Language English
    Dates of publication 2021-07
    Size p. 630-642.
    Publishing place Elsevier B.V.
    Document type Article
    Note NAL-AP-2-clean
    ISSN 2352-5509
    DOI 10.1016/j.spc.2021.01.031
    Database NAL-Catalogue (AGRICOLA)

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  2. Article ; Online: Components reuse in the building sector - A systematic review.

    Rakhshan, Kambiz / Morel, Jean-Claude / Alaka, Hafiz / Charef, Rabia

    Waste management & research : the journal of the International Solid Wastes and Public Cleansing Association, ISWA

    2020  Volume 38, Issue 4, Page(s) 347–370

    Abstract: Widespread reuse of building components can promote the circularity of materials in the building sector. However, the reuse of building components is not yet a mainstream practise. Although there have been several studies on the factors affecting the ... ...

    Abstract Widespread reuse of building components can promote the circularity of materials in the building sector. However, the reuse of building components is not yet a mainstream practise. Although there have been several studies on the factors affecting the reuse of building components, there is no single study that has tried to harmonize the circumstances affecting this intervention. Through a systematic literature review targeting peer-reviewed journal articles, this study intends to identify and stratify factors affecting the reuse of components of the superstructure of a building and eventually delineate correlations between these factors. Factors identified throughout this study are classified into six major categories and 23 sub-categories. Then the inter-dependencies between the barriers are studied by developing the correlation indices between the sub-categories. Results indicate that addressing the economic, social and regulatory barriers should be prioritized. Although the impact of barriers under perception, risk, compliance and market sub-categories are very pronounced, the highest inter-dependency among the sub-categories is found between perception and risk. It suggests that the perception of the stakeholders about building components reuse is affected by the potential risks associated with this intervention.
    MeSH term(s) Construction Materials ; Recycling
    Keywords covid19
    Language English
    Publishing date 2020-02-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 1480483-9
    ISSN 1096-3669 ; 1399-3070 ; 0734-242X
    ISSN (online) 1096-3669 ; 1399-3070
    ISSN 0734-242X
    DOI 10.1177/0734242X20910463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Evaluating the sustainability impact of improved building insulation: A case study in the Dubai residential built environment

    Rakhshan, Kambiz / Friess, Wilhelm Alexander / Tajerzadeh, Sahand

    Building and environment. 2013 Sept., v. 67

    2013  

    Abstract: Environmental sustainability considerations are slowly being integrated into governing criteria and regulations in industrial and urban development worldwide. A “cradle to grave” analysis increases understanding the implications of specific design ... ...

    Abstract Environmental sustainability considerations are slowly being integrated into governing criteria and regulations in industrial and urban development worldwide. A “cradle to grave” analysis increases understanding the implications of specific design options in the context of creating an environmentally sustainable product, however in commercial real estate the focus is generally on reducing cost, while long term operational and end-of-service considerations remain on a second plane of importance. The balance between initial costs and operational costs (environmental, economic and energetic) is directly reflected in the building energy use which, while requiring a higher initial investment, constitutes the principal driver in reducing the carbon footprint of the dwelling. But constructive measures that decrease operational energy use and thus also decrease operational greenhouse gas emissions require the use of more insulation materials. The embodied energy and GHG emissions associated with the full lifecycle of these additional materials needs to be included in the overall sustainability balance sheet of the development. This study shows that, in the particular case of the residential built environment of Dubai and the prevailing local electric power source generation mechanisms, the environmental sustainability cost of adding the insulation levels required to significantly mitigate transmission losses is small in comparison to the operational GHG emissions saved by their application. However, and in part due to typically short building lifetime and lack of comprehensive waste management strategies, the overall impact of using these materials within the full lifecycle of the Dubai built environment requires special consideration to end-of-service treatment.
    Keywords balance sheet ; case studies ; electric power ; embodied energy ; greenhouse gas emissions ; insulating materials ; materials life cycle ; urban development ; waste management ; United Arab Emirates
    Language English
    Dates of publication 2013-09
    Size p. 105-110.
    Publishing place Elsevier Ltd
    Document type Article
    ISSN 0360-1323
    DOI 10.1016/j.buildenv.2013.05.010
    Database NAL-Catalogue (AGRICOLA)

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  4. Article ; Online: Using Machine Learning Algorithms to Develop a Clinical Decision-Making Tool for COVID-19 Inpatients.

    Vepa, Abhinav / Saleem, Amer / Rakhshan, Kambiz / Daneshkhah, Alireza / Sedighi, Tabassom / Shohaimi, Shamarina / Omar, Amr / Salari, Nader / Chatrabgoun, Omid / Dharmaraj, Diana / Sami, Junaid / Parekh, Shital / Ibrahim, Mohamed / Raza, Mohammed / Kapila, Poonam / Chakrabarti, Prithwiraj

    International journal of environmental research and public health

    2021  Volume 18, Issue 12

    Abstract: Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop ... ...

    Abstract Background: Within the UK, COVID-19 has contributed towards over 103,000 deaths. Although multiple risk factors for COVID-19 have been identified, using this data to improve clinical care has proven challenging. The main aim of this study is to develop a reliable, multivariable predictive model for COVID-19 in-patient outcomes, thus enabling risk-stratification and earlier clinical decision-making.
    Methods: Anonymised data consisting of 44 independent predictor variables from 355 adults diagnosed with COVID-19, at a UK hospital, was manually extracted from electronic patient records for retrospective, case-control analysis. Primary outcomes included inpatient mortality, required ventilatory support, and duration of inpatient treatment. Pulmonary embolism sequala was the only secondary outcome. After balancing data, key variables were feature selected for each outcome using random forests. Predictive models were then learned and constructed using Bayesian networks.
    Results: The proposed probabilistic models were able to predict, using feature selected risk factors, the probability of the mentioned outcomes. Overall, our findings demonstrate reliable, multivariable, quantitative predictive models for four outcomes, which utilise readily available clinical information for COVID-19 adult inpatients. Further research is required to externally validate our models and demonstrate their utility as risk stratification and clinical decision-making tools.
    MeSH term(s) Adult ; Algorithms ; Bayes Theorem ; COVID-19 ; Clinical Decision-Making ; Humans ; Inpatients ; Machine Learning ; Retrospective Studies ; SARS-CoV-2
    Language English
    Publishing date 2021-06-09
    Publishing country Switzerland
    Document type Journal Article
    ISSN 1660-4601
    ISSN (online) 1660-4601
    DOI 10.3390/ijerph18126228
    Database MEDical Literature Analysis and Retrieval System OnLINE

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