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The circular economy proposes a paradigm shift from the ‘take-make-waste’ type of economic system and aims to foster innovation, resource efficiency, and waste prevention. Mega sporting events can be considered great opportunities to promote sustainable cities and communities and leave a lasting positive legacy after the post-game stage. Qatar will organize the upcoming FIFA World Cup in 2022 and Ras Abu Aboud (RAA) is designed as a fully reusable and modular shipping container stadium, which will be dismantled, relocated, and reused after the tournament. This study aims to present the first comprehensive analysis on the social sustainability and legacy aspects of a circular and sharing economy application for the FIFA World Cup organization. The research analyzes the entire life cycle phases of the RAA stadium including the raw material production, construction, operations, and end-of-life. The Ecoinvent v.3.7.1 is used to quantify the midpoint environmental and endpoint human health impacts. For its operation phase assessment, two operation scenarios are comparatively analyzed: one-year temporary operation (Scenario 1) and 50 years of permanent operation (Scenario 2). Later, a simulation-based sensitivity analysis is conducted. Finally, we discussed how circular and modular design thinking can bring long-lasting legacy post-event, through reuse and recycling from a socio-economic perspective. An important finding shows that circular design under Scenario 1 can save up to 60% of human health impacts and significantly reduce the material footprint and dependence on imported construction materials. This research will enhance future awareness for sustainability benefits of circular and sharing economy application adopted by mega sporting events concerning the United Nations 2030 Agenda for Sustainable Development and FIFA's post-game legacy and sustainability strategies.
Murat Kucukvar; Adeeb A. Kutty; Abathar Al-Hamrani; Doyoon Kim; Nadejhda Nofal; Nuri Cihat Onat; Polina Ermolaeva; Tareq Al-Ansari; Soud Khalifa Al-Thani; Nasser Mohammed Al-Jurf; Melih Bulu; Wael Al-Nahhal. How circular design can contribute to social sustainability and legacy of the FIFA World Cup Qatar 2022™? The case of innovative shipping container stadium. Environmental Impact Assessment Review 2021, 91, 106665 .
AMA StyleMurat Kucukvar, Adeeb A. Kutty, Abathar Al-Hamrani, Doyoon Kim, Nadejhda Nofal, Nuri Cihat Onat, Polina Ermolaeva, Tareq Al-Ansari, Soud Khalifa Al-Thani, Nasser Mohammed Al-Jurf, Melih Bulu, Wael Al-Nahhal. How circular design can contribute to social sustainability and legacy of the FIFA World Cup Qatar 2022™? The case of innovative shipping container stadium. Environmental Impact Assessment Review. 2021; 91 ():106665.
Chicago/Turabian StyleMurat Kucukvar; Adeeb A. Kutty; Abathar Al-Hamrani; Doyoon Kim; Nadejhda Nofal; Nuri Cihat Onat; Polina Ermolaeva; Tareq Al-Ansari; Soud Khalifa Al-Thani; Nasser Mohammed Al-Jurf; Melih Bulu; Wael Al-Nahhal. 2021. "How circular design can contribute to social sustainability and legacy of the FIFA World Cup Qatar 2022™? The case of innovative shipping container stadium." Environmental Impact Assessment Review 91, no. : 106665.
This study presents a combined application of hybrid life cycle sustainability assessment and multi-criteria decision-making, aiming to further advance an integrated sustainability assessment and decision-making for the selection of alternative-fuel taxis. First, a multiregional hybrid life cycle sustainability assessment model is built to evaluate macro-level sustainability impacts of various vehicle types: conventional gasoline vehicles, compressed natural gas vehicles, hybrid, and battery electric vehicles. Second, considering the subjective nature of the evaluation process, the interval-valued neutrosophic sets-based analytic hierarchy process is suggested to assess the results obtained from the life cycle model to determine the weight of each evaluation criterion. Then, the technique for order preference by similarity to the ideal solution is used to rank the sustainability performance. Two different charging scenarios are also tested. The results show that solar-powered BEVs are the best in the environmental impacts with the exceptions of water consumption and land use. Solar-powered BEVs are superior in human health impact, while, ICVs are the best in compensation and employment generations. The ranking results reveal that solar-powered BEVs are the best alternatives when all indicators are considered, followed by CNG vehicles. The proposed method provides a practical and life cycle-based decision-making approach to support and prioritize effective policies for more sustainable transportation.
Nour N. M. Aboushaqrah; Nuri Cihat Onat; Murat Kucukvar; A.M.S. Hamouda; Ali Osman Kusakci; Berk Ayvaz. Selection of alternative fuel taxis: a hybridized approach of life cycle sustainability assessment and multi-criteria decision making with neutrosophic sets. International Journal of Sustainable Transportation 2021, 1 -14.
AMA StyleNour N. M. Aboushaqrah, Nuri Cihat Onat, Murat Kucukvar, A.M.S. Hamouda, Ali Osman Kusakci, Berk Ayvaz. Selection of alternative fuel taxis: a hybridized approach of life cycle sustainability assessment and multi-criteria decision making with neutrosophic sets. International Journal of Sustainable Transportation. 2021; ():1-14.
Chicago/Turabian StyleNour N. M. Aboushaqrah; Nuri Cihat Onat; Murat Kucukvar; A.M.S. Hamouda; Ali Osman Kusakci; Berk Ayvaz. 2021. "Selection of alternative fuel taxis: a hybridized approach of life cycle sustainability assessment and multi-criteria decision making with neutrosophic sets." International Journal of Sustainable Transportation , no. : 1-14.
The demand for Liquefied Natural Gas (LNG) in the global markets has changed significantly. As a result, industries have been forced to consider investing significantly in supply chains to achieve an efficient distribution of LNG for cost efficiency and carbon footprint reduction. To minimize the contribution of LNG maritime transportation to global climate change, there is a need to quantify the carbon footprints systematically. In this research, we developed a novel and practical model for estimating the carbon footprint for LNG maritime transport. Using the MATLAB program, an uncertainty-based carbon footprint accounting framework is created. The Monte Carlo simulation model is built to conduct a carbon footprint analysis while the main input parameters were changed within a reliable range. Later, a multivariate sensitivity analysis is performed using the Risk Solver software to estimate the most significant parameters on the net carbon footprints. The sensitivity analysis results showed that that steam process day and steaming fuel consumption are found to be the most sensitive parameters for the overall carbon footprint for both Laden and Ballast trips. Furthermore, it was found that the Q-Max vessel produces more carbon emissions when compared to the Q-Flex, although both are traveling the same distance and are using the same fuel type. The type of fuel is also significantly affecting the emission values due to the relevant carbon content in the fuel. Like the case of the two conventional vessels, the one that is running with the only LNG is found to have fewer emissions when compared to the one run with dual-mode.
Saleh Aseel; Hussein Al-Yafei; Murat Kucukvar; Nuri C. Onat; Metin Turkay; Yigit Kazancoglu; Ahmed Al-Sulaiti; Abdulla Al-Hajri. A model for estimating the carbon footprint of maritime transportation of Liquefied Natural Gas under uncertainty. Sustainable Production and Consumption 2021, 27, 1602 -1613.
AMA StyleSaleh Aseel, Hussein Al-Yafei, Murat Kucukvar, Nuri C. Onat, Metin Turkay, Yigit Kazancoglu, Ahmed Al-Sulaiti, Abdulla Al-Hajri. A model for estimating the carbon footprint of maritime transportation of Liquefied Natural Gas under uncertainty. Sustainable Production and Consumption. 2021; 27 ():1602-1613.
Chicago/Turabian StyleSaleh Aseel; Hussein Al-Yafei; Murat Kucukvar; Nuri C. Onat; Metin Turkay; Yigit Kazancoglu; Ahmed Al-Sulaiti; Abdulla Al-Hajri. 2021. "A model for estimating the carbon footprint of maritime transportation of Liquefied Natural Gas under uncertainty." Sustainable Production and Consumption 27, no. : 1602-1613.
Sustainable transportation is at the hearth of the United Nation's Sustainable Development Goals (SDGs) and is directly linked to many SDGs including SDG3 (good health and well‐being), SDG11 (sustainable cities and societies), SDG 7 (clean energy), SDG13 (climate), and SDG 12 (sustainable production and consumption). European countries have been promoting a widespread adoption of electric vehicles to achieve SDGs through resilient, technology‐driven, and human‐centric mobility. However, potential environmental benefits of electric vehicles depend on various regional factors such as the fuel efficiency and source of electricity generation. At the same time, the economic benefits of mobility to the economy are an important factor for evaluating the relative performance of electric vehicles. To this end, this research paper presents the first empirical analysis of the regionalized eco‐efficiency assessment of electric vehicles across Europe. We developed an integrated regionalized eco‐efficiency performance score, by employing life cycle assessment and principal component analysis techniques to assess the eco‐efficiency performance of electric vehicles in Europe. Considering the energy mix for electricity generation, three environmental indicators (carbon footprint, water consumption, and energy use) and one economic (contribution to national gross domestic product) indicator were used to compute the eco‐efficiency scores for 28 European countries. The eco‐efficiency scores for each corresponding country were calculated, compared, and clustered in as high, medium, and low eco‐efficiency score countries. The clvalid package of R software's archive network is used to determine the optimal number of clusters for the EES dataset. The results of the comparative study show that Denmark, Germany, Italy, Portugal, and Spain have a competitive advantage in eco‐efficiency performance compared to the other European countries. The regionalized distribution of the eco‐efficiency performance shows that the countries with the highest ecoefficiency score are located on the west side of Europe. Researches and policymakers can benefit from the applied methodology as well as the results to provide country‐specific investment policies to achieve higher benefits towards a transition to electric mobility in Europe.
Nuri Cihat Onat; Galal M. Abdella; Murat Kucukvar; Adeeb A. Kutty; Munera Al‐Nuaimi; Gürkan Kumbaroğlu; Melih Bulu. How eco‐efficient are electric vehicles across Europe? A regionalized life cycle assessment‐based eco‐efficiency analysis. Sustainable Development 2021, 1 .
AMA StyleNuri Cihat Onat, Galal M. Abdella, Murat Kucukvar, Adeeb A. Kutty, Munera Al‐Nuaimi, Gürkan Kumbaroğlu, Melih Bulu. How eco‐efficient are electric vehicles across Europe? A regionalized life cycle assessment‐based eco‐efficiency analysis. Sustainable Development. 2021; ():1.
Chicago/Turabian StyleNuri Cihat Onat; Galal M. Abdella; Murat Kucukvar; Adeeb A. Kutty; Munera Al‐Nuaimi; Gürkan Kumbaroğlu; Melih Bulu. 2021. "How eco‐efficient are electric vehicles across Europe? A regionalized life cycle assessment‐based eco‐efficiency analysis." Sustainable Development , no. : 1.
Eco-efficiency analysis can provide useful information for sustainability benchmarking of products and sectors while assessing and monitoring their economic and environmental performances. The eco-efficiency is defined as a ratio between economic performance and environmental impact. With multiple environmental and economic metrics, the eco-efficiency assessment is computationally complex. One common aspect of this complexity is associated with the importance (a.k.a. Relative weights) of sustainability indicators in the presence of high multicollinearity. A novel weighting method integrating two well-established methods for reducing the multicollinearity consequence during the aggregation process is presented in the study. The proposed method’s mathematical and operational procedures, called Weighted Penalized Maximum Likelihood Estimation (W-PMLE), are demonstrated for the eco-efficiency analysis of U.S food consumption. The eco-efficiency analysis results revealed that the CO2 emissions, the level of consumption of the metallic mineral, and water were the most critical to the eco-efficiency performance of U.S. consumption.
Galal M. Abdella; Murat Kucukvar; Adeeb A. Kutty; Abdelsalam G. Abdelsalam; Burak Sen; Muhammet Enis Bulak; Nuri Cihat Onat. A novel approach for developing composite eco-efficiency indicators: The case for US food consumption. Journal of Cleaner Production 2021, 299, 126931 .
AMA StyleGalal M. Abdella, Murat Kucukvar, Adeeb A. Kutty, Abdelsalam G. Abdelsalam, Burak Sen, Muhammet Enis Bulak, Nuri Cihat Onat. A novel approach for developing composite eco-efficiency indicators: The case for US food consumption. Journal of Cleaner Production. 2021; 299 ():126931.
Chicago/Turabian StyleGalal M. Abdella; Murat Kucukvar; Adeeb A. Kutty; Abdelsalam G. Abdelsalam; Burak Sen; Muhammet Enis Bulak; Nuri Cihat Onat. 2021. "A novel approach for developing composite eco-efficiency indicators: The case for US food consumption." Journal of Cleaner Production 299, no. : 126931.
Eco-efficiency composite indicators are widely accepted as the ratio of environmental impact to created economic value. These indicators are realistic measures for assessing sustainability performance considering the economy and environment. The weights reflect the importance of indicators to the aggregated environmental impacts. Estimating the relative weight of indicators is highly subjective, and therefore the search for a single unique weighting method has been going on for years. The regression-based weights are one of the most recent trends in sustainability modeling. Since these methods are designed initially to investigate the impact of multiple variables on a response variable rather than to estimate weights, some drawbacks are associated with their potential to provide proper weights. This paper presents a novel weighting approach integrating linear mixed-effect models with Johnson's relative weights to address these drawbacks and provide meaningful relative weights for eco-efficiency composite indicators. The proposed approach's operational and computational procedures are illustrated using a real example, and the eco-efficiency of food consumption of 38 countries is estimated for the period between 1990 and 2012 using a consumption-based sustainability accounting method. The findings have shown that energy use and GHG indicators are the most critical contributor to global food consumption's environmental impacts. The country-based eco-efficiency performance in this work has shown that China, India, and Russia are located in the low eco-efficiency score class. The Spatio-temporal analysis downgraded the geographical location's significance on the trends of eco-efficiency behavior in time and space. On the other hand, it revealed the different types of emerging hot spots over the world.
Galal M. Abdella; Murat Kucukvar; Radwa Ismail; Abdelsalam G. Abdelsalam; Nuri Cihat Onat; Osama Dawoud. A mixed model-based Johnson's relative weights for eco-efficiency assessment: The case for global food consumption. Environmental Impact Assessment Review 2021, 89, 106588 .
AMA StyleGalal M. Abdella, Murat Kucukvar, Radwa Ismail, Abdelsalam G. Abdelsalam, Nuri Cihat Onat, Osama Dawoud. A mixed model-based Johnson's relative weights for eco-efficiency assessment: The case for global food consumption. Environmental Impact Assessment Review. 2021; 89 ():106588.
Chicago/Turabian StyleGalal M. Abdella; Murat Kucukvar; Radwa Ismail; Abdelsalam G. Abdelsalam; Nuri Cihat Onat; Osama Dawoud. 2021. "A mixed model-based Johnson's relative weights for eco-efficiency assessment: The case for global food consumption." Environmental Impact Assessment Review 89, no. : 106588.
A primary concern of conventional Portland cement concrete (PCC) is associated with the massive amount of global cement and natural coarse aggregates (NCA) consumption, which causes depletion of natural resources on the one hand and ecological problems on the other. As a result, the concept of green concrete (GC), by replacing cement with supplementary cementitious materials (SCMs) such as ground granulated blast furnace slag (GGBFS), fly ash (FA), silica fume (SF), and metakaolin (MK), or replacing NCA with recycled coarse aggregates, can play an essential role in addressing the environmental threat of PCC. Currently, there is a growing body of literature that emphasizes the importance of implementing GC in concrete applications. Therefore, this paper has conducted a systematic literature review through the peer-reviewed literature database Scopus. A total of 114 papers were reviewed that cover the following areas: (1) sustainability benefits of GC, (2) mechanical behavior of GC in terms of compressive strength, (3) durability properties of GC under several environmental exposures, (4) structural performance of GC in large-scale reinforced beams under shear and flexure, and (5) analytical investigation that compares the GC shear capacities of previously tested beams with major design codes and proposed models. Based on this review, the reader will be able to select the optimum replacement level of cement with one of the SCMs to achieve a certain concrete strength range that would suit a certain concrete application. Also, the analysis of durability performance revealed that the addition of SCMs is not recommended in concrete exposed to a higher temperature than 400 °C. Moreover, combining GGBFS with FA in a concrete mix was noticed to be superior to PCC in terms of long-term resistance to sulfate attack. The single most striking observation to emerge from the data comparison of the experimentally tested beams with the available concrete shear design equations is that the beams having up to 70% of FA as a replacement to OPC or up to 100% of RCA as a replacement to NCA were conservatively predicted by the equations of Japan Society of Civil Engineers (JSCE-1997), the American Concrete Institute (ACI 318-19), and the Canadian Standards Association (CSA-A23.3-14).
Abathar Al-Hamrani; Murat Kucukvar; Wael Alnahhal; Elsadig Mahdi; Nuri C. Onat. Green Concrete for a Circular Economy: A Review on Sustainability, Durability, and Structural Properties. Materials 2021, 14, 351 .
AMA StyleAbathar Al-Hamrani, Murat Kucukvar, Wael Alnahhal, Elsadig Mahdi, Nuri C. Onat. Green Concrete for a Circular Economy: A Review on Sustainability, Durability, and Structural Properties. Materials. 2021; 14 (2):351.
Chicago/Turabian StyleAbathar Al-Hamrani; Murat Kucukvar; Wael Alnahhal; Elsadig Mahdi; Nuri C. Onat. 2021. "Green Concrete for a Circular Economy: A Review on Sustainability, Durability, and Structural Properties." Materials 14, no. 2: 351.
The construction industry is responsible for a significant amount of raw material consumption and environmental footprints. Therefore, sustainable construction became a hot topic, which strives to reduce material consumption, limit constructional waste disposal, and decrease contribution to climate change. In line with Qatar's commitment to organizing a sustainable FIFA World Cup in 2022, this study aims to conduct an environmental life cycle assessment (LCA) for the construction of the Education City Stadium. The work presented here provides the first empirical LCA for analyzing the environmental and economic impacts of circular economy application in a World Cup stadium. In this research, the cyclopean concrete (CYC) methodology was utilized, which incorporate the site excavated boulders with the concrete mix to cast the under-raft foundation of the stadium. This approach was compared to the conventional concrete (CC) casting approach to assess the extent to which the newly developed methodology can reduce the environmental and economic burdens. The obtained results have shown a 32% reduction in greenhouse gas emissions when adapting the CYC approach. Thus, the CYC holds a strong promise to achieve the required structural behavior with a low-cost alternative material from existing waste products in Qatar and a lower environmental impact than the CC.
Abathar Al-Hamrani; Doyoon Kim; Murat Kucukvar; Nuri Cihat Onat. Circular economy application for a Green Stadium construction towards sustainable FIFA world cup Qatar 2022™. Environmental Impact Assessment Review 2021, 87, 106543 .
AMA StyleAbathar Al-Hamrani, Doyoon Kim, Murat Kucukvar, Nuri Cihat Onat. Circular economy application for a Green Stadium construction towards sustainable FIFA world cup Qatar 2022™. Environmental Impact Assessment Review. 2021; 87 ():106543.
Chicago/Turabian StyleAbathar Al-Hamrani; Doyoon Kim; Murat Kucukvar; Nuri Cihat Onat. 2021. "Circular economy application for a Green Stadium construction towards sustainable FIFA world cup Qatar 2022™." Environmental Impact Assessment Review 87, no. : 106543.
The circular economy (CE) proposes a closed-loop supply chain-based production system and reduces the ecological systems' negative impacts. CE proposes a paradigm shift from a linear economy to a circular economy with the principles of 3Rs: reduce, reuse, and recycle. CE applications can be a viable option for the sustainable production of polymeric composite materials by decreasing the cost and improving product lifetimes and mechanical performance. This paper explores Khalasa date palm leaf fiber (KDPLF) as a reinforcement for polymeric composite materials. To this end, it is essential to examine their morphology, material properties, chemical composition, and water uptake. The investigated fiber was obtained from the Qatar University farm. The morphology examination was carried out using scanning electron microscopy. Thermogravimetric analysis has been used to examine the thermal stability of KDPLF. Morphological examination indicates that the lumen size for Khalasa is 32.8 ± 15.9 µm. The SEM morphology of the KDPLF cross-section showed high hemicellulose content. Tensile properties revealed that Khalasa fiber had tensile strength/tensile modulus of 47.99 ± 13.58 MPa and 2.1 ± 0.40 GPa, respectively. The results are also demonstrated that high variation in the mechanical properties and morphology was showed in KDPLF. Water uptake has significant effects on the properties of KDPLF/epoxy composite. Accordingly, as the moisture absorption of KDPLF/epoxy increases, its strength and stiffness decrease. As the moisture absorption of KDPLF/epoxy increases, its toughness increases.
Elsadig Mahdi; Daniel R. Hernández Ochoa; Ashkan Vaziri; Aamir Dean; Murat Kucukvar. Khalasa date palm leaf fiber as a potential reinforcement for polymeric composite materials. Composite Structures 2020, 265, 113501 .
AMA StyleElsadig Mahdi, Daniel R. Hernández Ochoa, Ashkan Vaziri, Aamir Dean, Murat Kucukvar. Khalasa date palm leaf fiber as a potential reinforcement for polymeric composite materials. Composite Structures. 2020; 265 ():113501.
Chicago/Turabian StyleElsadig Mahdi; Daniel R. Hernández Ochoa; Ashkan Vaziri; Aamir Dean; Murat Kucukvar. 2020. "Khalasa date palm leaf fiber as a potential reinforcement for polymeric composite materials." Composite Structures 265, no. : 113501.
The sustainability impact of air transportation has become crucial to communities. Airports around the world are forced to be transparent with the society and to declare their sustainability results. As the sustainability goals and objectives and due to its multi‐dimension aspects that are needed to be decided of and subsequently improved, the decision has been taken, and the parameters have been selected due to its significance in this field. This research presents a managerial approach combining the optimization‐based frontier approach with the Global Report Initiative's comprehensive sustainability database for selected 30 major international airports based on data availability. In this regard, eco‐efficiency analysis is carried out with four different models using input‐oriented modeling with multiple undesirable environmental inputs (energy, carbon, water, and waste) and desirable outputs (revenue, passenger and employment) to compare efficiency and sustainability levels of airports in different contexts. Finally, performance improvement targets of each environmental indicators are presented for the airports. These comparative models reveal different frontier airports, which provide the opportunity to analyze diversified reference points for the same decision‐making unit. The presented statistical study has shown that San Francisco, Hong Kong, Hamad International Airport are the most efficient airports in terms of overall sustainability performance based on collected data and selected indicators. The authors also concluded that there is a discrepancy in sustainability data reporting between airports, and there is a need for collecting complete, consistent and real‐time social, environmental, economic, and governance data, to better compare and evaluate the performance of each airport from a sustainability perspective.
Murat Kucukvar; Khalel Ahmed Alawi; Galal M. Abdella; Muhammet Enis Bulak; Nuri C. Onat; Melih Bulu; Murat Yalçıntaş. A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports. Sustainable Development 2020, 29, 89 -107.
AMA StyleMurat Kucukvar, Khalel Ahmed Alawi, Galal M. Abdella, Muhammet Enis Bulak, Nuri C. Onat, Melih Bulu, Murat Yalçıntaş. A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports. Sustainable Development. 2020; 29 (1):89-107.
Chicago/Turabian StyleMurat Kucukvar; Khalel Ahmed Alawi; Galal M. Abdella; Muhammet Enis Bulak; Nuri C. Onat; Melih Bulu; Murat Yalçıntaş. 2020. "A frontier‐based managerial approach for relative sustainability performance assessment of the world's airports." Sustainable Development 29, no. 1: 89-107.
Technology has indispensably been a part of the city evolution throughout history. In recent years, there has been a shift in the pattern of development in smart cities, where smart cities attempt to embrace practices of sustainability using Information and Communication Technologies and other smart solutions. Past studies reveal that these smart cities have failed in successfully incorporating sustainable development goals into their smart strategies, where they tend to focus more on achieving smartness goals rather than sustainability goals and targets. This paper presents a multi‐faceted interrogative study on several ongoing smart city initiatives around the globe that supports United Nations Urban Sustainability Agenda. This paper aims to focus on harmonizing smart and sustainable city initiatives with the United Nations Sustainable Development Goals using a systems thinking approach. The study develops conceptual models that support the city transition into being a sustainable smart city. These conceptual models were designed based on the fundamentals of system thinking for a system of several elements under the key catalyzers “Policy and Governance,” “Research & Development,” and “Partnership.” The causalities and interrelationships among elements in developed conceptual models justify the dynamicity and the impact of these elements within a system. The outcome of this research paper would support industry experts, policymakers, and city planners to adopt robust policy interventions and best practices for developing strategies that support the transition of smart cities to the futuristic label of sustainable cities.
Adeeb A. Kutty; Galal M. Abdella; Murat Kucukvar; Nuri C. Onat; Melih Bulu. A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals. Sustainable Development 2020, 28, 1347 -1365.
AMA StyleAdeeb A. Kutty, Galal M. Abdella, Murat Kucukvar, Nuri C. Onat, Melih Bulu. A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals. Sustainable Development. 2020; 28 (5):1347-1365.
Chicago/Turabian StyleAdeeb A. Kutty; Galal M. Abdella; Murat Kucukvar; Nuri C. Onat; Melih Bulu. 2020. "A system thinking approach for harmonizing smart and sustainable city initiatives with United Nations sustainable development goals." Sustainable Development 28, no. 5: 1347-1365.
In this research, a hybrid life cycle sustainability assessment and multi-objective decision making are jointly applied to highlight how sustainability assessment results can be used for sustainable management and further country-level policymaking, and Qatar is selected as a case study to implement the proposed method. 14 macro-level sustainability indicators are quantified for four different technologies of sport utility vehicles (SUV), including internal combustion vehicles (ICV), hybrid electric vehicles (HEV), plug-in hybrid electric vehicles (PHEV), and battery electric vehicles (BEV), using a global multiregional input–output analysis to distinguish in between regional and global supply chain-related impacts. A compromise programming model is developed based on the sustainability assessment results to determine what should be the optimal distribution of alternative vehicles based on varying importance of different sustainability indicators and scope of the analysis. The optimal vehicle distributions are determined for two different battery charging scenarios, through the existing electricity grid and solar energy. Furthermore, the optimal distributions are also investigated when the scope of the analysis is limited to regional boundary versus the total impacts encompassing the global supply chains in addition to the regional impacts. When environmental indicators are assigned the top priority (100%), the results show that HEVs should compromise over 90% of the vehicle fleet. In a balanced weighting case, the optimal vehicle distribution consists of around 81% HEV and 19% BEV if charged through the electricity grid. The proposed method can provide important insights for developing policies to achieve sustainable and efficient policies considering various aspects including the scope of assessment and relative importance of quantified sustainability indicators.
Nuri C. Onat; Nour N.M. Aboushaqrah; Murat Kucukvar; Faris Tarlochan; Abdel Magid Hamouda. From sustainability assessment to sustainability management for policy development: The case for electric vehicles. Energy Conversion and Management 2020, 216, 112937 .
AMA StyleNuri C. Onat, Nour N.M. Aboushaqrah, Murat Kucukvar, Faris Tarlochan, Abdel Magid Hamouda. From sustainability assessment to sustainability management for policy development: The case for electric vehicles. Energy Conversion and Management. 2020; 216 ():112937.
Chicago/Turabian StyleNuri C. Onat; Nour N.M. Aboushaqrah; Murat Kucukvar; Faris Tarlochan; Abdel Magid Hamouda. 2020. "From sustainability assessment to sustainability management for policy development: The case for electric vehicles." Energy Conversion and Management 216, no. : 112937.
This paper conducts a global review and a macro-level supply chain analysis focusing on carbon footprint of construction industry worldwide for the period between 2009 and 2020 using the Scopus database. A total of 1833 journal articles are revealed with focus on carbon footprint in the field of construction in general, of which only 115 (6% of the total) studies have a macro-level analysis of the construction sector, providing a more holistic overview of the construction sector from various aspects. These macro-level studies were reviewed and classified based on journal, country, year, method, scope of analysis, type of construction, and period. The findings showed that approximately 60% of these studies focus on the Chinese construction industry and the majority of studies analyzed national-level (75%) and city-level (18%) carbon footprints of construction. On the contrary, global-level analysis has a lower share, which accounted for only 6% of reviewed articles. The review showed that more than 20% of studies use the input-output analysis as the main methodological approach to quantify macro-level carbon emission from construction sector, which is followed by the process-based life cycle assessment with 10% share, where more bottom-up approaches are employed. There are only a handful of articles found in the literature using a hybrid life cycle assessment and global multiregional input-output analysis for carbon footprint accounting of construction. Furthermore, there is also no study found in the literature, which presented a comprehensive regional and global supply chain analysis of construction carbon footprints. The results revealed that the largest portion of carbon emissions stem from the regional and global supply chains of the construction industries. The authors concluded that carbon reduction policies should not only consider the limited regional impacts; however, it must take into account the role of indirect, complex and interconnected global supply chains of construction industries.
Nuri C. Onat; Murat Kucukvar. Carbon footprint of construction industry: A global review and supply chain analysis. Renewable and Sustainable Energy Reviews 2020, 124, 109783 .
AMA StyleNuri C. Onat, Murat Kucukvar. Carbon footprint of construction industry: A global review and supply chain analysis. Renewable and Sustainable Energy Reviews. 2020; 124 ():109783.
Chicago/Turabian StyleNuri C. Onat; Murat Kucukvar. 2020. "Carbon footprint of construction industry: A global review and supply chain analysis." Renewable and Sustainable Energy Reviews 124, no. : 109783.
Connected and automated vehicles (CAVs) are emerging technologies expected to bring important environmental, social, and economic improvements in transportation systems. Given their implications in terms of air quality and sustainable and safer movement of goods, heavy‐duty trucks (HDTs), carrying the majority of U.S. freight, are considered an ideal domain for the application of CAV technology. An input–output (IO) model is developed based on the Eora database—a detailed IO database that consists of national IO tables, covering almost the entire global economy. Using the Eora‐based IO model, this study quantifies and assesses the environmental, economic, and social impacts of automated diesel and battery electric HDTs based on 20 macro‐level indicators. The life cycle sustainability performances of these HDTs are then compared to that of a conventional diesel HDT. The study finds an automated diesel HDT to cause 18% more fatalities than an automated electric HDT. The global warming potential (GWP) of automated diesel HDTs is estimated to be 4.7 thousand metric tons CO2‐eq. higher than that of automated electric HDTs. The health impact costs resulting from an automated diesel HDT are two times higher than that of an automated electric HDT. Overall, the results also show that automation brings important improvements to the selected sustainability indicators of HDTs such as global warming potential, life cycle cost, GDP, decrease in import, and increase in income. The findings also show that there are significant trade‐offs particularly between mineral and fossil resource losses and environmental gains, which are likely to complicate decision‐making processes regarding the further development and commercialization of the technology.
Burak Sen; Murat Kucukvar; Nuri C. Onat; Omer Tatari. Life cycle sustainability assessment of autonomous heavy‐duty trucks. Journal of Industrial Ecology 2019, 24, 149 -164.
AMA StyleBurak Sen, Murat Kucukvar, Nuri C. Onat, Omer Tatari. Life cycle sustainability assessment of autonomous heavy‐duty trucks. Journal of Industrial Ecology. 2019; 24 (1):149-164.
Chicago/Turabian StyleBurak Sen; Murat Kucukvar; Nuri C. Onat; Omer Tatari. 2019. "Life cycle sustainability assessment of autonomous heavy‐duty trucks." Journal of Industrial Ecology 24, no. 1: 149-164.
Sustainability of food consumption requires the understanding of multi-dimensional environmental, economic and social impacts using a holistic and integrated sustainability assessment and modeling framework. This article presents a novel method on the assessment and modeling of sustainability impacts of food consumption. First, sustainability impacts of food consumption categories are quantified using high sector resolution input-output tables of U.S. economy. Later, an integrated sustainability modeling framework based on two supervised machine-learning techniques such as k-means clustering and logistics regression is presented. The proposed framework involves five steps: (1) economic input-output life cycle sustainability assessment, (2) non-dimensional normalization, (3) sustainability performance evaluation, (4) centroid-based clustering analysis, and (5) sustainability impact modeling. The findings show that the supply chains of food production sectors are accounted for major environmental impacts with higher than 80% of portions for total carbon footprints. Animal slaughtering, rendering, and processing is found as the most dominant sector in most of the environmental impact categories. The logistic model results revealed an overall model accuracy equal to 91.67%. Furthermore, among all the environmental sustainability indicators, it has found that CO and SO2 are the most significant contributors. The results also show that 13.7% of the food and beverage sectors are clustered as high, in which the bread and bakery product manufacturing is the central sector. The large value of the variance (5.24) is attributed to the large total weighted impact value of the animal (except poultry) slaughtering, rendering, and processing cluster.
Galal M. Abdella; Murat Kucukvar; Nuri C. Onat; Hussein M. Al-Yafay; Muhammet Enis Bulak. Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption. Journal of Cleaner Production 2019, 251, 119661 .
AMA StyleGalal M. Abdella, Murat Kucukvar, Nuri C. Onat, Hussein M. Al-Yafay, Muhammet Enis Bulak. Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption. Journal of Cleaner Production. 2019; 251 ():119661.
Chicago/Turabian StyleGalal M. Abdella; Murat Kucukvar; Nuri C. Onat; Hussein M. Al-Yafay; Muhammet Enis Bulak. 2019. "Sustainability assessment and modeling based on supervised machine learning techniques: The case for food consumption." Journal of Cleaner Production 251, no. : 119661.
Electric mobility is a trending topic around the world, and many countries are supporting electric vehicle technologies to reduce environmental impacts from transportation such as greenhouse gas emissions and air pollution in cities. While such environmental impacts are widely studied in the literature, there is not much emphasis on a comprehensive sustainability assessment of these vehicle technologies, encompassing the three pillars of sustainability as the environment, society, and economy. In this study, we presented a novel comprehensive life cycle sustainability assessment for four different support utility electric vehicle technologies, including hybrid, plug-in hybrid, and full battery electric vehicles. A hybrid multi-regional input-output based life cycle sustainability assessment model is developed to quantify fourteen sustainability indicators representing the three pillars of sustainability. As a case study, we studied the impacts for Qatar, a country where 100% of electricity generation is from natural gas and have a very unique supply-chain, mainly due to a wide range of exported products and services. The analysis results showed that all-electric vehicle types have significant potential to lower global warming potential, air pollution, and photochemical oxidant formation. A great majority (above 90%) of the emissions occurs within the region boundaries of Qatar. In the social indicators, internal combustion vehicles performed better than all other electric vehicles in terms of employment generation, compensation of employees, and taxes. The results highlighted that adoption of electric vehicle alternatives doesn't favor macro-economic indicators and they have slightly less for a life-cycle cost. The proposed assessment methodology can be useful for a comprehensive regionalized life cycle sustainability assessment of alternative vehicle technologies and developing regionalized sustainable transportation policies worldwide.
Nuri Cihat Onat; Murat Kucukvar; Nour N.M. Aboushaqrah; Rateb Jabbar. How sustainable is electric mobility? A comprehensive sustainability assessment approach for the case of Qatar. Applied Energy 2019, 250, 461 -477.
AMA StyleNuri Cihat Onat, Murat Kucukvar, Nour N.M. Aboushaqrah, Rateb Jabbar. How sustainable is electric mobility? A comprehensive sustainability assessment approach for the case of Qatar. Applied Energy. 2019; 250 ():461-477.
Chicago/Turabian StyleNuri Cihat Onat; Murat Kucukvar; Nour N.M. Aboushaqrah; Rateb Jabbar. 2019. "How sustainable is electric mobility? A comprehensive sustainability assessment approach for the case of Qatar." Applied Energy 250, no. : 461-477.
Electric vehicles are important technologies to reduce adverse environmental impacts stemming from transportation. In this paper, we investigated the environmental, social, and economic impacts of electric vehicles in Qatar, where the electricity generation is currently 100% natural gas. As electric vehicles is expected replace the internal combustion engine vehicles and each vehicle type has different supply chain for the fuel, the sustainability impacts in the upstream of fuel supply-chain can be significantly different. Hence, a supply-chain based approach is developed to capture impact shift from petroleum sector to electricity generation sector in the supply chain of electricity and petroleum. Results revealed that electric vehicles can save up to 28% of life cycle cost, 71% of Greenhouse gas emissions, 51% of photochemical oxidant formation, and 63% of human health impacts.
Nuri C. Onat; Nour N. M. Aboushaqrah; Murat Kucukvar. Supply Chain Linked Sustainability Assessment of Electric Vehicles: the Case for Qatar. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) 2019, 780 -785.
AMA StyleNuri C. Onat, Nour N. M. Aboushaqrah, Murat Kucukvar. Supply Chain Linked Sustainability Assessment of Electric Vehicles: the Case for Qatar. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). 2019; ():780-785.
Chicago/Turabian StyleNuri C. Onat; Nour N. M. Aboushaqrah; Murat Kucukvar. 2019. "Supply Chain Linked Sustainability Assessment of Electric Vehicles: the Case for Qatar." 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) , no. : 780-785.
This research is the first empirical analysis on the macro-level social, economic and environmental impacts of food consumption categories in the United States of America. Current study assessed the direct and supply chain-related indirect social, economic and environmental footprints of 29 U.S. food consumption categories by using high resolution economic input-output tables of the U.S economy. To accomplish this goal, the supply and use tables published by the U.S. Bureau of Economic Analysis are merged with a range of social, economic and environmental metrics. To this end, we developed 14 macro level indicators. The results are presented for total impacts and per million-dollar economic output basis considering the direct and supply-chain impacts. This research is important attempt to develop the first social, economic and environmental impact database for U.S. food consumption that can be produced for other sectors. Analysis results also indicate that supply chains of food consumption categories are heavily responsible for the impacts with over 80% shares for some socioeconomic and environmental indicators such as gross operating surplus and imports. Especially, animal (except poultry) slaughtering, rendering and processing category is found as the most dominant sector in most of the socioeconomic and environmental impact categories.
Murat Kucukvar; Rabah Ismaen; Nuri C. Onat; Abdulla Al-Hajri; Hussein Al-Yafay; Ahmed Al-Darwish. Exploring the Social, Economic and Environmental Footprint of Food Consumption: A Supply Chain-linked Sustainability Assessment. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) 2019, 733 -742.
AMA StyleMurat Kucukvar, Rabah Ismaen, Nuri C. Onat, Abdulla Al-Hajri, Hussein Al-Yafay, Ahmed Al-Darwish. Exploring the Social, Economic and Environmental Footprint of Food Consumption: A Supply Chain-linked Sustainability Assessment. 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA). 2019; ():733-742.
Chicago/Turabian StyleMurat Kucukvar; Rabah Ismaen; Nuri C. Onat; Abdulla Al-Hajri; Hussein Al-Yafay; Ahmed Al-Darwish. 2019. "Exploring the Social, Economic and Environmental Footprint of Food Consumption: A Supply Chain-linked Sustainability Assessment." 2019 IEEE 6th International Conference on Industrial Engineering and Applications (ICIEA) , no. : 733-742.
This research aims to provide important insights regarding the environmental and socioeconomic impacts of the world’s largest food producing countries based on four sustainability metrics: energy use, carbon footprint, value-added and compensation of employees by low, medium and high-skill groups. World Input-Output Database is used as a detailed and intercountry and sector economic database. To compare the results between global databases, Eora and EXIOBASE are also used for comparative analysis. Three statistical analysis techniques such as Mann-Kendal trend test, matching index and k-means clustering algorithm are applied to provide a further insight from the analysis. The results are presented for three categories: regional on-site, regional supply chain, and global supply chain. The agriculture industry has the largest environmental footprints in food supply chains. Based on the Mann-Kendall trend test, there is a statistically significant trend in carbon, energy, and employment indicators. The maximum value of the matching–index of the overall impact (0.92) is achieved between the EXIOBASE and WIOD databases. China and USA are positioned in different clusters based on total sustainability performance when using different MRIO databases.
Murat Kucukvar; Nuri C. Onat; Galal M. Abdella; Omer Tatari. Assessing regional and global environmental footprints and value added of the largest food producers in the world. Resources, Conservation and Recycling 2019, 144, 187 -197.
AMA StyleMurat Kucukvar, Nuri C. Onat, Galal M. Abdella, Omer Tatari. Assessing regional and global environmental footprints and value added of the largest food producers in the world. Resources, Conservation and Recycling. 2019; 144 ():187-197.
Chicago/Turabian StyleMurat Kucukvar; Nuri C. Onat; Galal M. Abdella; Omer Tatari. 2019. "Assessing regional and global environmental footprints and value added of the largest food producers in the world." Resources, Conservation and Recycling 144, no. : 187-197.
This research presents an integrated sustainability assessment framework applied to electric vehicle technologies in the United States of America. Two methods; principal component analysis and life cycle assessment are jointly used to present a novel integrated framework for eco-efficiency analysis of battery electric vehicles for each state in the USA. Three electricity production scenarios; 1) marginal electricity mix; 2) average electricity mix; and 3) 100% solar energy are investigated. Three environmental (water withdrawal, energy consumption and carbon emission) and one economic indicator as life cycle costing are merged to obtain the eco-efficiency scores of each state. The scenarios are compared by applying ANOVA and Tukey/HSD test regarding their environmental and economic values. Then, a comparison is done based on the eco-efficiency values of states in each scenario, separately. The results showed that the maximum eco-efficiency scores are obtained in three states such as Indiana, Texas and New Mexico based on marginal electricity scenario, average electricity mix scenario and solar energy scenario, respectively. The findings also revealed that 100% solar charging scenario is the most environmentally friendly option because of the environmental impacts in terms of water, energy and carbon footprints. The researchers concluded that the proposed integrated framework for eco-efficiency of electric vehicle technologies has a strong application potential for policy making in sustainability performance assessment where multiple sustainability indicators' are aimed to be integrated into the decision making process, especially to deal with the multi-collinearity associated with environmental life cycle impact data.
Nuri C. Onat; Murat Kucukvar; Shiva Afshar. Eco-efficiency of electric vehicles in the United States: A life cycle assessment based principal component analysis. Journal of Cleaner Production 2018, 212, 515 -526.
AMA StyleNuri C. Onat, Murat Kucukvar, Shiva Afshar. Eco-efficiency of electric vehicles in the United States: A life cycle assessment based principal component analysis. Journal of Cleaner Production. 2018; 212 ():515-526.
Chicago/Turabian StyleNuri C. Onat; Murat Kucukvar; Shiva Afshar. 2018. "Eco-efficiency of electric vehicles in the United States: A life cycle assessment based principal component analysis." Journal of Cleaner Production 212, no. : 515-526.