Barriers to green roof installation: An integrated fuzzy-based MCDM approach

Mahdiyar, Amir; Mohandes, Saeed Reza; Durdyev, Serdar; Tabatabaee, Sanaz; Ismail, Syuhaida

doi:10.1016/j.jclepro.2020.122365

Cited by 64 publications

(68 citation statements)

References 48 publications

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“…The findings reveal that high initial costs and lack of awareness and knowledge are the most significant barriers to overall GR installation, while installation-related challenges and structural damage concerns are the least significant. Their conclusions suggest that the legislative enforcements with financial incentives and emphasis on the improvement of knowledge and awareness are the key measures that will ultimately lead to effective and widespread implementation of GR systems (Amir et al, 2020). This is consistent with the results of another recent study (Liberalesso et al, 2020), which found that incentives promote and facilitate the adoption of green infrastructure by private investors.…”

Section: Financial Aspects Of Green Roofssupporting

confidence: 79%

“…From the public and developers' point of view, GR often require substantial upfront costs (installation costs) but also very often significant maintenance costs. In order to test this common opinion, research done by Amir et al (2020), relying on studies conducted worldwide, analysed barriers to GR adoption. The findings reveal that high initial costs and lack of awareness and knowledge are the most significant barriers to overall GR installation, while installation-related challenges and structural damage concerns are the least significant.…”

Section: Financial Aspects Of Green Roofsmentioning

confidence: 99%

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The role of financial viability in sustainability and the increase of green roofs as elements of green infrastructure

Rogina

Nukić

2021

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Purpose: As sustainability is quickly becoming a predominant concept at the heart of the 21stcentury living and thinking, as well as planning for the near future, it has become obvious that financial viability is one of its core determinants. The aim of this paper has been to study the prospects of greater implementation of green infrastructure (GI) and especially green roofs (GR) in Croatia. Methodology: Theoretical framework is based on the relevant literature review, which has been conducted using qualitative methods of analysis, synthesis, comparison, induction and deduction . The empirical part of the study has been conducted as a survey amongst the civil engineering students, using questionnaire as the survey instrument. Results: The theoretical part of the research identified the relevance of costs in GI implementation and its social and economic effects, circularity principles and EU funding options. Empirical findings indicate that the majority of Millennials from the sample find the implementation of GI to be financially demanding. Moreover, they are largely unaware of the availability of EU funding for such purpose and find the frugality aspect of green roof implementation very important. Conclusion: It is acknowledged that financial viability is inevitable when considering the implementation of GI. The level of environmental awareness among Croatian Millennials is satisfactory. However, considering they were not sufficiently aware of the EU funding available for this purpose, there is a need to raise awareness among this population segment, as they are future decision-makers .

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Section: Financial Aspects Of Green Roofssupporting

confidence: 79%

Section: Financial Aspects Of Green Roofsmentioning

confidence: 99%

The role of financial viability in sustainability and the increase of green roofs as elements of green infrastructure

Rogina

Nukić

2021

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“…Fuzzy Inference System (FIS) is a decision-making methodology, which takes input values and creates output fuzzy values based on some logic rules [ 59 , 60 ]. Sometimes decisions need to be made based on real-world observations (which can be crisp or fuzzy values) and some fuzzy logic rules (i.e., IF-THEN rules) [ 26 ].…”

Section: Methodsmentioning

confidence: 99%

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

Sadeghi

Mohandes

Hosseini

et al. 2020

IJERPH

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Occupational Health and Safety (OHS)-related injuries are vexing problems for construction projects in developing countries, mostly due to poor managerial-, governmental-, and technical safety-related issues. Though some studies have been conducted on OHS-associated issues in developing countries, research on this topic remains scarce. A review of the literature shows that presenting a predictive assessment framework through machine learning techniques can add much to the field. As for Malaysia, despite the ongoing growth of the construction sector, there has not been any study focused on OHS assessment of workers involved in construction activities. To fill these gaps, an Ensemble Predictive Safety Risk Assessment Model (EPSRAM) is developed in this paper as an effective tool to assess the OHS risks related to workers on construction sites. The developed EPSRAM is based on the integration of neural networks with fuzzy inference systems. To show the effectiveness of the EPSRAM developed, it is applied to several Malaysian construction case projects. This paper contributes to the field in several ways, through: (1) identifying major potential safety risks, (2) determining crucial factors that affect the safety assessment for construction workers, (3) predicting the magnitude of identified safety risks accurately, and (4) predicting the evaluation strategies applicable to the identified risks. It is demonstrated how EPSRAM can provide safety professionals and inspectors concerned with well-being of workers with valuable information, leading to improving the working environment of construction crew members.

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“…To solve this problem, one of the MCDM approaches that can be used is the Fuzzy Best-Worst Method (FBWM), which was developed by Guo and Zhao [17]. The advantage of this method is that it can obtain the relative weights of evaluative criteria using fewer calculations and paired comparisons accompanied with a lower level of inconsistency [18]. This method is capable of obtaining higher accuracy compared to the traditional methods, as it requires only the preference of the best criterion over other criteria and the preference of other criteria over the worst one [19].…”

Section: Figurementioning

confidence: 99%

Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

et al. 2021

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Due to increase in the public and stakeholders’ awareness regarding economic, environmental, and social issues, the construction industry tends to follow the sustainability policies and practices in supply chain management. Hence, one of the most crucial aspects for a construction company in this regard is sustainable supplier selection, and, to this end, an accurate and reliable model is required. In this paper a hybrid fuzzy best-worst method and fuzzy inference system model is developed for sustainable supplier selection. In the first phase of this study, after determining 19 criteria in three main aspects, the final weight of each aspect and criterion is obtained using fuzzy best-worst method approach. In the second phase, the most sustainable supplier is selected by running the weighted fuzzy inference system both in aspect and criterion level, providing more accurate results compared to the use of other available models. Finally, two different tests are employed to validate the results and evaluate the robustness of the proposed model. The novel developed model enables the decision-maker to simulate the decision-making process, reduce the calculations loads, consider a large number of criteria in decision making, and resolve the inherited uncertainties in experts’ responses.

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Barriers to green roof installation: An integrated fuzzy-based MCDM approach

Cited by 64 publications

References 48 publications

The role of financial viability in sustainability and the increase of green roofs as elements of green infrastructure

The role of financial viability in sustainability and the increase of green roofs as elements of green infrastructure

Developing an Ensemble Predictive Safety Risk Assessment Model: Case of Malaysian Construction Projects

Sustainable Supplier Selection in Construction Industry through Hybrid Fuzzy-Based Approaches

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