Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects

Hashemi, H.; Ghoddousi, Parviz; Nasirzadeh, Farnad

doi:10.3390/su13031477

Cited by 17 publications

(15 citation statements)

References 63 publications

(66 reference statements)

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“…Each material has its own sustainability characteristics; therefore, one may be cost-effective but more environmentally harmful or aesthetically incompatible with the environment. Multi-criteria decision-making is essential for selecting the most sustainable material from several alternatives [48,52]. This research argued that sustainable selection is only possible once the stakeholders move away from the traditional short-term cost-benefit analysis and choose to balance all factors of sustainable construction to maximize value and minimize harm.…”

Section: Discussionmentioning

confidence: 99%

“…Hashemi et al (2021) utilized economic, social, and environmental pillars to select sustainability indicators for conducting sustainability assessments for highway construction projects. They used a novel triangular intuitionistic fuzzy decisionmaking approach for scoring and ranking the indicators [48]. Bektur (2021) used a hybrid fuzzy MCDM approach for a sustainable project portfolio selection problem.…”

Section: Application Of Mcdm In Constructionmentioning

confidence: 99%

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A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction

Bhuiyan

Hammad

2023

Sustainability

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In recent years, the performance of the construction industry has highlighted the increased need for better resource efficiency, improved productivity, less waste, and increased value through sustainable construction practices. The core concept of sustainable construction is to maximize value and minimize harm by achieving a balance between social, economic, technical, and environmental aspects, commonly known as the pillars of sustainability. The decision regarding which structural material to select for any construction project is traditionally made based on technical and economic considerations with little or no attention paid to social and environmental aspects. Furthermore, the majority of the available literature on the subject considered three sustainability pillars (i.e., environmental, social, and economic), ignoring the influence of technical aspects for overall sustainability assessment. Industry experts have also noted an unfulfilled need for a multi-criteria decision-making (MCDM) technique that can integrate all stakeholders’ (project owner, designer, and constructor) opinions into the selection process. Hence, this research developed a decision support system (DSS) involving MCDM techniques to aid in selecting the most sustainable structural material, considering the four pillars of sustainability in the integrated project delivery (IPD) framework. A hybrid MCDM method combining AHP, TOPSIS, and VIKOR in a fuzzy environment was used to develop the DSS. A hypothetical eight-story building was considered for a case study to validate the developed DSS. The result shows that user preferences highly govern the final ranking of the alternative options of structural materials. Timber was chosen as the most sustainable option once the stakeholders assigned balanced importance to all factors of sustainable construction practices. The developed DSS was designed to be generic, can be used by any group of industry practitioners, and is expected to enhance objectivity and consistency of the decision-making process as a step towards achieving sustainable construction.

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Section: Discussionmentioning

confidence: 99%

Section: Application Of Mcdm In Constructionmentioning

confidence: 99%

A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction

Bhuiyan

Hammad

2023

Sustainability

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“…The major goal of the study conducted by Hashemi et al was to choose the best set of sustainability indicators to address each of the three pillars of sustainability in highway projects using a novel technique for group decision making. The suggested method addresses the inherent ambiguity and uncertainty that permeates the entire evaluation process by taking into consideration expert risk attitudes and entropy metrics within a triangular intuitionistic fuzzy environment (Hashemi et al 2021 ). The issues that the construction industry has in assuring sustainable practices were the main subject of the research conducted by (Bathrinath et al 2022 ).…”

Section: Literature Reviewmentioning

confidence: 99%

“…(Hendiani and Bagherpour 2019) Fig. 1 Research methodology for assessing a construction project's sustainability status during its execution expert risk attitudes and entropy metrics within a triangular intuitionistic fuzzy environment (Hashemi et al 2021).…”

Section: Assessing Sustainability In Uncertain Conditionsmentioning

confidence: 99%

Sustainability assessment in construction projects: a sustainable earned value management model under uncertain and unreliable conditions

2023

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All three pillars of sustainability must be met for a construction project to be considered sustainable. Although several studies have been carried out on sustainability in the construction industry under uncertain conditions, there has been a lack of a comprehensive model to assess all three pillars of sustainability during the execution of a construction project with consideration of the uncertain and unreliable nature of the gathered data. In this article, a fuzzy inference system model was developed to fill this research gap. The Cost Performance Index from earned value management, an effective tool for cost control of projects, is used to assess the economic sustainability status during the project execution. Besides, from the expert opinions and literature review, sustainability-related attributes are gathered to identify the dimensions and enablers of a construction project. This research aimed not only to improve the previous social sustainability Indexes for construction projects by using Z-numbers but also to develop and introduce a comprehensive Z Construction Environmental Sustainability Index alongside the other two pillars. The previous hierarchal method to calculate the Fuzzy indexes is also improved to overcome possible complexity problems. Calculating the three pillars of sustainability and using them as inputs into the Mamdani FIS model to obtain the overall sustainability status, the proposed model, which is calculated with the Z-numbers, is compared with the results of conventional Fuzzy numbers and deterministic approach. The results of the comparison show that the proposed model is more rigorous and effective than the previous methods in the numerical case.

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“…Urban expressways play a vital role in connecting and driving the development of cities as transport hubs and backbones, and their regeneration has received increasing attention [2]. Major cities around the world have high-density urban expressway networks [3]. Take the first-tier city of Shanghai, China, as an example.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method

et al. 2023

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As the volume and scale of urban expressways continue to increase, renewal remains a concern for urban development. The renewal and decision-making of an urban expressway need to be endowed with new concepts to adapt to the rapid development of cities. Nevertheless, in addition to considering road factors such as facility conditions, driving conditions, and environmental protection, the existing evaluation system lacks comprehensive consideration of factors that improve resilience and adapt to future urban development, and it lacks a quantifiable general update evaluation system. Thus, the establishment of a comprehensive renewal indicator system and a mixed evaluation framework is a challenge. This study proposes an evaluation framework of expressway renewal indicators that integrates the three dimensions of macro, meso, and micro based on the fuzzy Delphi method, the fuzzy AHP method, and the TOPSIS method. A q-rung orthopair fuzzy linguistic set was used to handle expert uncertainty information in the process of conducting fuzzy evaluations. The indicators were refined into general and quantifiable evaluation indicators to improve their versatility. Moreover, the renewal value of expressways was measured and calculated using the TOPSIS method, and four renewal intervals were divided according to the calculation results. As a result, 28 renewal indicators were screened out, and the five factors with the greatest impact on renewal were the demand for transport development, the renewal of facility and service functions, the upgrading of institutional resilience, structural renewal, and economic development. The model was applied to eight expressways in Shanghai to calculate the renewal degree value and divide the renewal status. The model could identify the renewal needs of each road to guide the renewal decision. This study proposes an evaluation model to measure urban expressway renewal studies and provides a reference for urban renewal in the area of sustainable development

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Sustainability Indicator Selection by a Novel Triangular Intuitionistic Fuzzy Decision-Making Approach in Highway Construction Projects

Cited by 17 publications

References 63 publications

A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction

A Hybrid Multi-Criteria Decision Support System for Selecting the Most Sustainable Structural Material for a Multistory Building Construction

Sustainability assessment in construction projects: a sustainable earned value management model under uncertain and unreliable conditions

Evaluating the Renewal Degree for Expressway Regeneration Projects Based on a Model Integrating the Fuzzy Delphi Method, the Fuzzy AHP Method, and the TOPSIS Method

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