2023

Jump to: 2022, 2021, 2020, 2019, 2018, 2017

23 pages, 2514 KiB

Open AccessArticle

How to Measure Sustainability? An Open-Data Approach

by David Ziegler, Sebastian Wolff, Ana-Beatrice Agu, Giorgio Cortiana, Muhammad Umair, Flore de Durfort, Esther Neumann, Georg Walther, Jakob Kristiansen and Markus Lienkamp

Sustainability 2023, 15(4), 3203; https://doi.org/10.3390/su15043203 - 09 Feb 2023

Cited by 1 | Viewed by 2512

Abstract

Determining quantitative sustainable development metrics can be difficult and requires a high effort in manual data acquisition on an institutional level, like the Word Bank or the United Nations, without adequately reflecting reality. To overcome the lack of a transparent and scalable method, [...] Read more.

Determining quantitative sustainable development metrics can be difficult and requires a high effort in manual data acquisition on an institutional level, like the Word Bank or the United Nations, without adequately reflecting reality. To overcome the lack of a transparent and scalable method, which links local actions to global sustainability metrics, the Sustainability Mirror connects the Sustainable Development Goals (SDGs) with publicly and locally available data to proxy SDG metrics. By applying the approach to Germany, we calculated eight SDG metrics on a regional level. Comparing our results to two German cities, we show that the Sustainability Mirror reflects economic and ecological sustainability measures. Furthermore, we demonstrate the mirror’s scalability and spatial resolution by applying the method to each German county. Presenting a proof-of-concept, we show that proxy data can link local and global sustainability metrics. However, further research should include more social sustainability topics. Finally, we are sure our approach and its implementations can contribute to a continuous assessment of spatial and temporal spreads and changes in SDG metrics. Full article

► Show Figures

Figure 1

2022

Jump to: 2023, 2021, 2020, 2019, 2018, 2017

32 pages, 2427 KiB

Open AccessArticle

A Hybrid Intuitionistic Fuzzy-MEREC-RS-DNMA Method for Assessing the Alternative Fuel Vehicles with Sustainability Perspectives

by Ibrahim M. Hezam, Arunodaya Raj Mishra, Pratibha Rani, Fausto Cavallaro, Abhijit Saha, Jabir Ali, Wadim Strielkowski and Dalia Štreimikienė

Sustainability 2022, 14(9), 5463; https://doi.org/10.3390/su14095463 - 01 May 2022

Cited by 47 | Viewed by 2909

Abstract

Alternative fuel vehicles (AFVs) offer opportunities to lower fuel costs as well as to reduce greenhouse gas emissions, and, therefore, they are a feasible option for customers in the market. Due to technological advancements, decisions about suitable alternative fuel vehicles are a challenging [...] Read more.

Alternative fuel vehicles (AFVs) offer opportunities to lower fuel costs as well as to reduce greenhouse gas emissions, and, therefore, they are a feasible option for customers in the market. Due to technological advancements, decisions about suitable alternative fuel vehicles are a challenging problem for fleet operators. This paper aims to introduce a multi-attribute decision-analysis framework to rank and select the “alternative fuel vehicles (AFVs)” for a private home healthcare service provider in Chandigarh, India. The selection of AFVs can be treated as a decision-making problem, because of the presence of various qualitative and quantitative attributes. Thus, the current work introduces an integrated decision-making framework based on intuitionistic fuzzy-“method based on the removal effects of criteria (MEREC)”, “ranking sum (RS)”, and the “double normalization-based multi-aggregation (DNMA)” framework for assessing the AFVs. The combination of MEREC and RS is applied to assess the objective and subjective weighting values of various parameters for AFV assessment. The DNMA approach is utilized to prioritize the different AFVs over various significant parameters. According to the outcomes, the most significant parameters for AFV assessment are social benefits, fueling/charging infrastructure, and financial incentives, respectively. In this context, globally existing AFVs for the sustainable transportation sector are identified, and then prioritized against fifteen different criteria relevant to the environmental, economic, technological, social, and political aspects of sustainability. It is distinguished that electric vehicles (G₂), hybrid electric vehicles (G₁), and hydrogen vehicles (G₃) achieve higher overall performance compared to the other technologies available in India. The assessment outcomes prove that electric vehicles can serve as a valuable alternative for decreasing carbon emissions and negative effects on the environment. This technology contributes to transportation sector development and job creation in less developed areas of the country. Moreover, a comparison with existing studies and a sensitivity investigation are conferred to reveal the robustness and stability of the developed framework. Full article

► Show Figures

Figure 1

28 pages, 1389 KiB

Open AccessArticle

A q-Rung Orthopair Fuzzy FUCOM Double Normalization-Based Multi-Aggregation Method for Healthcare Waste Treatment Method Selection

by Abhijit Saha, Arunodaya Raj Mishra, Pratibha Rani, Ibrahim M. Hezam and Fausto Cavallaro

Sustainability 2022, 14(7), 4171; https://doi.org/10.3390/su14074171 - 31 Mar 2022

Cited by 30 | Viewed by 2073

Abstract

Healthcare waste (HCW) management is an intricate issue upon which numerous factors, such as technical, economic, environmental, and social factors, have an impact. A determination on the best treatment method for HCW management can be viewed as a challenging multi-criteria decision-making (MCDM) problem [...] Read more.

Healthcare waste (HCW) management is an intricate issue upon which numerous factors, such as technical, economic, environmental, and social factors, have an impact. A determination on the best treatment method for HCW management can be viewed as a challenging multi-criteria decision-making (MCDM) problem in which various options and evaluation criteria are considered. One critical concern when assessing HCW treatment (HCWT) methods is the representation and treatment of dubious data. In this paper, we present a q-rung orthopair fuzzy full consistency method double normalization-based multi-aggregation methodology called q-ROF-FUCOM-DNMA to solve MCDM problems with q-rung orthopair fuzzy information (q-ROFI). In the proposed approach, criteria weights are estimated through the full consistency method (FUCOM) and a ranking of the alternatives is obtained through the double-normalization-based multi-aggregation (DNMA) method with q-ROFI. A HCWT method assessment issue was considered in order to clarify the relevance of the proposed approach. Five HCWT methods, including chemical disinfection, microwave disinfection, incineration, autoclaving (steam sterilization), and reverse polymerization, were considered as alternatives. The results show that autoclaving (steam sterilization) is the most efficient HCWT method. Furthermore, we performed a sensitivity analysis to determine the stability of the proposed approach. Additionally, we compared the presented approach with existing methods. Full article

► Show Figures

Figure 1

2021

Jump to: 2023, 2022, 2020, 2019, 2018, 2017

17 pages, 1623 KiB

Open AccessArticle

Modeling Sustainable Risks Mitigation Strategies Using a Morphological Analysis-Based Approach: A Real Case Study

by Manel Elmsalmi, Wafik Hachicha and Awad M. Aljuaid

Sustainability 2021, 13(21), 12210; https://doi.org/10.3390/su132112210 - 05 Nov 2021

Cited by 5 | Viewed by 2380

Abstract

The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk [...] Read more.

The supply chain risk management (SCRM) is very critical to strategically support the firms to continuous success. There are, at least, three basic steps in this SCRM process: risk identification, risk evaluation, and risk mitigation (treatment). Whatever happens, the main step is risk mitigation (RM) and mainly sustainable RM. In fact, every risk must be eliminated or controlled as much as possible. The purpose of this paper is to elaborate and evaluate various RM scenarios from an initial risk identification and prioritization solution. The proposed scenario modeling technique is based on morphological analysis (MA) as an explorative scenario tool for RM. MA is used to develop a framework to proactively assess critical risk variables. Firstly, MA is employed to exhaustively create possible RM scenarios and, secondly, to assess the likelihood of each scenario. The proposed approach addresses the need for a basic rubric to help identify and choose RM approaches. A real case study is provided from the food industry to illustrate the application of the proposed approach. To handle all possible MA strategies, a dedicated MORPHOL software package is used. In addition, RM strategies are selected based on sustainability indicators. The case study results prove that MA has a considerable value for SCRM. It shows that firms can adopt multiple robust strategies in the form of a scenario describing all stages of SCRM in an integrated representation. Full article

► Show Figures

Figure 1

14 pages, 2586 KiB

Open AccessArticle

Poverty Mapping in the Dian-Gui-Qian Contiguous Extremely Poor Area of Southwest China Based on Multi-Source Geospatial Data

by Yongming Xu, Yaping Mo and Shanyou Zhu

Sustainability 2021, 13(16), 8717; https://doi.org/10.3390/su13168717 - 04 Aug 2021

Cited by 13 | Viewed by 2306

Abstract

Accurate information on the spatial distribution of poverty is of great significance to the formulation and implementation of the government’s targeted poverty alleviation policy. Traditional poverty mapping is mainly based on household survey data and statistical data, which cannot describe the spatial distribution [...] Read more.

Accurate information on the spatial distribution of poverty is of great significance to the formulation and implementation of the government’s targeted poverty alleviation policy. Traditional poverty mapping is mainly based on household survey data and statistical data, which cannot describe the spatial distribution of poverty well. This paper presents a study of mapping the integrated poverty index (IPI) in the Dian-Gui-Qian contiguous extremely poor area of southwest China. Based on multiple independent spatial variables extracted from NPP/VIIRS nighttime light (NTL) remote sensing data, digital elevation model (DEM), land cover information, open street map, and city accessibility data, eight algorithms were employed and compared to determine the optimal model for IPI estimation. Among these machine learning algorithms, traditional multiple linear regression had the lowest accuracy compared with the other seven machine learning algorithms and XGBoost showed the best performance. Feature selection was performed to reduce overfitting and five variables were finally selected. The final developed XGBoost model achieved an MAE of 0.0454 and an R2 of 0.68. The IPI map derived from the developed XGBoost model characterized the spatial pattern of poverty in the Dian-Gui-Qian contiguous extremely poor area well, which provided a good reference for the poverty alleviation work and public resources allocation in the study area. This study can also serve as a template for poverty mapping in other areas using remote sensing data. Full article

► Show Figures

Figure 1

38 pages, 2628 KiB

Open AccessArticle

Circular Economy and Environmental Sustainability: A Policy Coherence Analysis of Current Italian Subsidies

by Andrea Molocchi

Sustainability 2021, 13(15), 8150; https://doi.org/10.3390/su13158150 - 21 Jul 2021

Cited by 5 | Viewed by 3251

Abstract

Policy instruments for a circular economy and for environmental protection both aim at sustainable development, but do not necessarily share the same goals. The purpose of the paper is to assess the coherence with the EU-recognized circular economy principles of a large set [...] Read more.

Policy instruments for a circular economy and for environmental protection both aim at sustainable development, but do not necessarily share the same goals. The purpose of the paper is to assess the coherence with the EU-recognized circular economy principles of a large set of subsidies currently in force in Italy: those listed in the Italian Catalogue of Environmentally Harmful Subsidies and Environmentally Friendly Subsidies. The method is inspired by the OECD’s “Checklist” method and “Policy Coherence for Sustainable Development” approach recommended by the UN 2030 Agenda, which can be usefully applied to all policy instruments, including subsidies and green budgeting. The analysis allows one to identify as many as 56 potentially harmful subsidies for the circular economy in Italy, for a financial value of at least 13.5 billion euros in 2019, and 75 potentially friendly subsidies for the circular economy, for at least 13.0 billion euros. A total of 25% of subsidy schemes analyzed with a circular economy perspective have contradictory effects when compared to the Catalogue’s results obtained with an environmental perspective. The results of the study underline the importance of coordination between environmental and circular economy policies in achieving sustainable development goals. The analysis can be considered a “pilot study” on a national case; its method can be easily replicated by administrations also in ex-ante evaluation of new subsidy schemes. Full article

► Show Figures

Figure 1

24 pages, 2722 KiB

Open AccessReview

A Systematic Review on Flood Early Warning and Response System (FEWRS): A Deep Review and Analysis

by Waleed A. Hammood, Ruzaini Abdullah Arshah, Salwana Mohamad Asmara, Hussam Al Halbusi, Omar A. Hammood and Salem Al Abri

Sustainability 2021, 13(1), 440; https://doi.org/10.3390/su13010440 - 05 Jan 2021

Cited by 14 | Viewed by 10011

Abstract

Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that [...] Read more.

Flood is the major natural hazard in Malaysia in terms of populations affected, area extent, frequency, social–economic damage, and flood duration. This shows the importance of providing comprehensive and effective flood mitigation management, which requires government agencies to enhance their employment performance that involves technological innovation. A flood early warning and response system (FEWRS) is essential to ensure that all stakeholders receive the right information and are provided with necessary actions and response information to avoid loss of lives and property. It should have some effective usability features and success components of its strategic information access and display; existing FEWRS fail and often do not effectively provide information on flood disasters to reduce their impacts at a local level to save the population’s lives. The measurement of information system (IS) success remains a top concern for researchers, managers, and practitioners. Therefore, this study seeks to provide a systematic overview of the most successful model of employment-related technical advancement for the management of flood disasters to improve its employees’ performance. In addition, examined factors that affect the successful implementation of flood management approaches, based on a systematic literature review among IS, show interrelationship of success factors. Findings from the literature suggest that the DeLone and McLean (D&M) model is the most widely employed model, recorded in 28 studies (39%). Further description of the 28 studies indicates that the D&M was either adopted alone or integrated with other theories. Moreover, results suggest the D&M is has been applied alone 39% of the time and has been extended 29% of the time; in total, 68% of the time, D&M has been applied either alone or extended in the information system domain. Additionally, 22% of the time it has been integrated with other theories. Full article

► Show Figures

Figure 1

16 pages, 4530 KiB

Open AccessArticle

Life Cycle Assessment of an Electric Chiller Integrated with a Large District Cooling Plant

by Chima Cyril Hampo, Ainul Bt Akmar and Mohd Amin Abd Majid

Sustainability 2021, 13(1), 389; https://doi.org/10.3390/su13010389 - 04 Jan 2021

Cited by 6 | Viewed by 4044

Abstract

District cooling (DC) systems have recently proven to be more economically and environmentally viable as compared to conventional cooling techniques. In most DC setups, electric centrifugal chillers (ECCs) are installed to provide chilled water (CW) to charge the thermal energy storage (TES) tank [...] Read more.

District cooling (DC) systems have recently proven to be more economically and environmentally viable as compared to conventional cooling techniques. In most DC setups, electric centrifugal chillers (ECCs) are installed to provide chilled water (CW) to charge the thermal energy storage (TES) tank or for direct CW supply to the DC network. The operation of these ECC systems consumes most of the electrical power supplied to the entire DC plant; this therefore strengthens the need to conduct a comprehensive environmental assessment in order to quantify the indirect ecological impact resulting from the energy consumed in the ECC system operation. In order to achieve this, a case study was conducted of four ECC systems with a use-life of 25 years installed in a large DC plant in Malaysia. A gate-to-gate life cycle assessment (LCA) methodology was adopted to analyze the environmental performance of the system setup. The result of the study year reveals that April and June account for the highest and lowest environmental impact, respectively. The influence of climatic temperature conditions on the monthly cooling and environmental load distribution was also observed from the results. Finally, in substantiating the study’s investigation, environmental performance based on the composition of two different electricity fuel mixes is discussed and compared. The results revealed a drastic decrease in environmental load as the ratio of non-renewable energy sources decreased in the composition of the mix, thereby reducing the contribution of the overall environmental impact of the ECC systems’ use phase. Full article

► Show Figures

Figure 1

2020

Jump to: 2023, 2022, 2021, 2019, 2018, 2017

42 pages, 2851 KiB

Open AccessArticle

Price Differentiation and Inventory Decisions in a Socially Responsible Dual-Channel Supply Chain with Partial Information Stochastic Demand and Cannibalization

by Syed Asif Raza

Sustainability 2020, 12(22), 9577; https://doi.org/10.3390/su12229577 - 17 Nov 2020

Cited by 6 | Viewed by 3278

Abstract

Corporate social responsibility (CSR) has received much of the attention in supply chain management, in particular the pricing decisions. Most existing models that enable CSR integration into pricing decisions in a supply chain context assume deterministic demand and focus on a single distribution [...] Read more.

Corporate social responsibility (CSR) has received much of the attention in supply chain management, in particular the pricing decisions. Most existing models that enable CSR integration into pricing decisions in a supply chain context assume deterministic demand and focus on a single distribution channel. Despite the fact that dual-channel supply chain (DCSC) has received popularity, most pricing decisions models in DCSC assume fixed and deterministic market share distribution between channels, and no demand leakages (cannibalization). This paper addresses these gaps by proposing a CSR enabled DCSC model pricing in which the demand is considered to be stochastic and market share distribution between channels in DCSC is optimally determined using a differentiation price, and the impact of demand leakages is also taken into consideration. Unlike existing studies, which only enable pricing decisions due to deterministic demand consideration, comprehensive DCSC models are proposed that provide joint decisions framework on CSR investment, pricing, and inventories. We have also considered the extension of the demand scenario when the distribution of demand is unknown. The two most common coordination schemes, the centralized (integrated) and the decentralized coordination is explored for the three demand situations: (i) deterministic demand; (ii) stochastic with full information; and (iii) stochastic with partial information. We are able to find analytical (closed-form) solutions for most demand situations. The centralized coordination performed better compared to the decentralized for all demand scenarios. The models are benchmarked when the demand is stochastic with known and unknown distributions, as well as, the case of the deterministic demand. A detailed numerical analysis is also presented in order to study the impact of using the price differentiation for market segmentation, the demand leakage, and partial knowledge on the stochastic demand on the players’ decisions and revenues in the supply chain. Full article

► Show Figures

Figure 1

21 pages, 1456 KiB

Open AccessArticle

A Game Theoretic Approach for Eco-Design and Remanufacturing Considering Take-Back Policy

by Xiaoxiao Chang, Guangye Xu, Qian Wang and Yongguang Zhong

Sustainability 2020, 12(17), 7174; https://doi.org/10.3390/su12177174 - 02 Sep 2020

Cited by 3 | Viewed by 2122

Abstract

This paper mainly aims at investigating the governments’ take-back policy of penalty or subsidy that motivates eco-design or remanufacturing. For this purpose, we consider a two-stage Stackelberg game between a government and a manufacturer. The government first decides to impose a take-back penalty [...] Read more.

This paper mainly aims at investigating the governments’ take-back policy of penalty or subsidy that motivates eco-design or remanufacturing. For this purpose, we consider a two-stage Stackelberg game between a government and a manufacturer. The government first decides to impose a take-back penalty or offer a take-back subsidy, and then the manufacturer selects to remanufacture or invest in eco-design as a response to the take-back policy. Upon analyzing and comparing game equilibrium, we find that the government prefers to offer a subsidy policy for eco-design and to impose a penalty policy for remanufacturing. The manufacturer will decide on investing in eco-design when the monetary value of the environmental impact of landfill and eco-design coefficient is medium. However, if the eco-design coefficient is high, the manufacturer practices remanufacturing instead of eco-design whether penalized and subsidized. The present study provides a set of guidelines in practical managerial recommendations for governments and manufacturers. Full article

► Show Figures

Figure 1

18 pages, 1180 KiB

Open AccessArticle

Pythagorean Fuzzy SWARA–VIKOR Framework for Performance Evaluation of Solar Panel Selection

by Pratibha Rani, Arunodaya Raj Mishra, Abbas Mardani, Fausto Cavallaro, Dalia Štreimikienė and Syed Abdul Rehman Khan

Sustainability 2020, 12(10), 4278; https://doi.org/10.3390/su12104278 - 22 May 2020

Cited by 64 | Viewed by 4388

Abstract

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the [...] Read more.

The age of industrialization and modernization has increased energy demands globally. Solar energy has been recognized as an inexhaustible source of energy and has been applied for desalination and electricity generation. Among different non-conventional energy resources, Solar Energy (SE) is one of the main contributors to the global energy system. A photovoltaic system (PS) is applied to produce SE using photovoltaic cells. The selection of a solar panel includes many intricate factors involving both subjective and quantifiable parameters; therefore, it can be regarded as a complex Multi-Criteria Decision-Making (MCDM) problem. As the uncertainty commonly occurs in the selection of an ideal solar panel, the theory of Pythagorean fuzzy sets has been proven as one of the flexible and superior tools to deal with the uncertainty and ambiguity that arise in real-life applications. The aim of the study is to present an MCDM framework for solving the Solar Panel Selection (SPS) problem within the Pythagorean fuzzy (PF) environment. For this, first, a new integrated method is proposed based on the Stepwise Weight Assessment Ratio Analysis (SWARA) and VlseKriterijumska Optimizcija I Kaompromisno Resenje (VIKOR) approaches in the Pythagorean fuzzy sets (PFSs) context. In the proposed approach, subjective weights of the evaluation criteria are calculated by the SWARA method, and the preference order of alternatives is decided by the VIKOR method in the PF context. The criteria weights evaluated by this approach involve the imprecision of experts’ opinions, which makes them more comprehensible. The computational procedure of the proposed methodology is established through a case study of the SPS problem under PF environment, which proves the applicability and efficiency of the proposed method. Furthermore, this study performs sensitivity analysis to reveal the stability of the developed framework. This analysis signifies that the solar panel option R₄ constantly secures its highest ranking despite how the parameter values vary. In addition, a comparative study is discussed to analyze the validity of the obtained result. The results show that the proposed approach is more efficient and applicable with previously developed methods in the PFS environment. Full article

► Show Figures

Figure 1

21 pages, 2253 KiB

Open AccessArticle

Total Factor Energy Efficiency, Carbon Emission Efficiency, and Technology Gap: Evidence from Sub-Industries of Anhui Province in China

by Ya Chen, Wei Xu, Qian Zhou and Zhixiang Zhou

Sustainability 2020, 12(4), 1402; https://doi.org/10.3390/su12041402 - 14 Feb 2020

Cited by 22 | Viewed by 2958

Abstract

The phenomena of “large energy consumption, high carbon emission, and serious environmental pollution” are against the goals of “low energy consumption, low emissions” in China’s industrial sector. The key to solving the problem lies in improving total factor energy efficiency (TFEE) and carbon [...] Read more.

The phenomena of “large energy consumption, high carbon emission, and serious environmental pollution” are against the goals of “low energy consumption, low emissions” in China’s industrial sector. The key to solving the problem lies in improving total factor energy efficiency (TFEE) and carbon emission efficiency (TFCE). Considering the heterogeneity of different sub-industries, this paper proposes a three-stage global meta-frontier slacks-based measure (GMSBM) method for measuring TFEE and TFCE, as well as the technology gap by combining meta-frontier technology with slacks-based measure (SBM) using data envelopment analysis (DEA). DEA can effectively avoid the situation where the technology gap ratio (TGR) is larger than unity. This paper uses the three-stage method to empirically analyze TFEE and TFCE of Anhui’s 38 industrial sub-industries in China from 2012 to 2016. The main findings are as follows: (1) Anhui’s industrial sector has low TFEE and TFCE, which has great potential for improvement. (2) TFEE and TFCE of light industry are lower than those of heavy industry under group-frontier, while they are higher than those of heavy industry under meta-frontier. There is a big gap in TFEE and TFCE among sub-industries of light industry. Narrowing the gap among different sub-industries of light industry is conducive to the overall improvement in TFEE and TFCE. (3) The TGR of light industry is significantly higher than that of heavy industry, indicating that there are sub-industries with the most advanced energy use and carbon emission technologies in light industry. And there is a bigger carbon-emitting technology gap in heavy industry, so it needs to encourage technology spillover from light industry to heavy industry. (4) The total performance loss of industrial sub-industries in Anhui mainly comes from management inefficiency, so it is necessary to improve management and operational ability. Based on the findings, some policy implications are proposed. Full article

► Show Figures

Figure 1

21 pages, 8426 KiB

Open AccessArticle

Evaluation Indexes and Correlation Analysis of Origination–Destination Travel Time of Nanjing Metro Based on Complex Network Method

by Wei Yu, Xiaofei Ye, Jun Chen, Xingchen Yan and Tao Wang

Sustainability 2020, 12(3), 1113; https://doi.org/10.3390/su12031113 - 04 Feb 2020

Cited by 9 | Viewed by 3390

Abstract

The information level of the urban public transport system is constantly improving, which promotes the use of smart cards by passengers. The OD (origination–destination) travel time of passengers reflects the temporal and spatial distribution of passenger flow. It is helpful to improve the [...] Read more.

The information level of the urban public transport system is constantly improving, which promotes the use of smart cards by passengers. The OD (origination–destination) travel time of passengers reflects the temporal and spatial distribution of passenger flow. It is helpful to improve the flow efficiency of passengers and the sustainable development of the city. It is an urgent problem to select appropriate indexes to evaluate OD travel time and analyze the correlation of these indexes. More than one million OD records are generated by the AFC (Auto Fare Collection) system of Nanjing metro every day. A complex network method is proposed to evaluate and analyze OD travel time. Five working days swiping data of Nanjing metro are selected. Firstly, inappropriate data are filtered through data preprocessing. Then, the OD travel time indexes can be divided into three categories: time index, complex network index, and composite index. Time index includes use time probability, passenger flow between stations, average time between stations, and time variance between stations. The complex network index is based on two models: Space P and ride time, including the minimum number of rides, and the shortest ride time. Composite indicators include inter site flow efficiency and network flow efficiency. Based on the complex network model, this research quantitatively analyzes the Pearson correlation of the indexes of OD travel time. This research can be applied to other public transport modes in combination with big data of public smart cards. This will improve the flow efficiency of passengers and optimize the layout of the subway network and urban space. Full article

► Show Figures

Figure 1

24 pages, 6261 KiB

Open AccessArticle

Showcasing Relationships between Neighborhood Design and Wellbeing Toronto Indicators

by Richard R. Shaker, Joseph Aversa, Victoria Papp, Bryant M. Serre and Brian R. Mackay

Sustainability 2020, 12(3), 997; https://doi.org/10.3390/su12030997 - 30 Jan 2020

Cited by 4 | Viewed by 5585

Abstract

Cities are the keystone landscape features for achieving sustainability locally, regionally, and globally. With the increasing impacts of urban expansion eminent, policymakers have encouraged researchers to advance or invent methods for managing coupled human–environmental systems associated with local and regional sustainable development planning. [...] Read more.

Cities are the keystone landscape features for achieving sustainability locally, regionally, and globally. With the increasing impacts of urban expansion eminent, policymakers have encouraged researchers to advance or invent methods for managing coupled human–environmental systems associated with local and regional sustainable development planning. Although progress has been made, there remains no universal instrument for attaining sustainability on neither regional nor local planning scales. Previous sustainable urbanization studies have revealed that landscape configuration metrics can supplement other measures of urban well-being, yet few have been included in public data dashboards or contrasted against local well-being indicators. To advance this sector of sustainable development planning, this study had three main intentions: (1) to produce a foundational suite of landscape ecology metrics from the 2007 land cover dataset for the City of Toronto; (2) to visualize and interpret spatial patterns of neighborhood streetscape patch cohesion index (COHESION), Shannon’s diversity index (SHDI), and four Wellbeing Toronto indicators across the 140 Toronto neighborhoods; (3) to quantitatively assess the global collinearity and local explanatory power of the well-being and landscape measures showcased in this study. One-hundred-and-thirty landscape ecology metrics were computed: 18 class configuration metrics across seven land cover categories and four landscape diversity metrics. Anselin Moran’s I-test was used to illustrate significant spatial patterns of well-being and landscape indicators; Pearson’s correlation and conditional autoregressive (CAR) statistics were used to evaluate relationships between them. Spatial “hot-spots” and/or “cold-spots” were found in all streetscape variables. Among other interesting results, Walk Score^® was negatively related to both tree canopy and grass/shrub connectedness, signifying its lack of consideration for the quality of ecosystem services and environmental public health—and subsequently happiness—during its proximity assessment of socioeconomic amenities. In sum, landscape ecology metrics can provide cost-effective ecological integrity addendum to existing and future urban resilience, sustainable development, and well-being monitoring programs. Full article

► Show Figures

Figure 1

24 pages, 7705 KiB

Open AccessArticle

Algorithm Selection for Edge Detection in Satellite Images by Neutrosophic WASPAS Method

by Romualdas Bausys, Giruta Kazakeviciute-Januskeviciene, Fausto Cavallaro and Ana Usovaite

Sustainability 2020, 12(2), 548; https://doi.org/10.3390/su12020548 - 10 Jan 2020

Cited by 29 | Viewed by 4329

Abstract

Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for [...] Read more.

Nowadays, integrated land management is generally governed by the principles of sustainability. Land use management usually is grounded in satellite image information. The detection and monitoring of areas of interest in satellite images is a difficult task. We propose a new methodology for the adaptive selection of edge detection algorithms using visual features of satellite images and the multi-criteria decision-making (MCDM) method. It is not trivial to select the most appropriate method for the chosen satellite images as there is no proper algorithm for all cases as it depends on many factors, like acquisition and content of the raster images, visual features of real-world images, and humans’ visual perception. The edge detection algorithms were ranked according to their suitability for the appropriate satellite images using the neutrosophic weighted aggregated sum product assessment (WASPAS) method. The results obtained using the created methodology were verified with results acquired in an alternative way—using the edge detection algorithms for specific images. This methodology facilitates the selection of a proper edge detector for the chosen image content. Full article

► Show Figures

Figure 1

2019

Jump to: 2023, 2022, 2021, 2020, 2018, 2017

21 pages, 4464 KiB

Open AccessArticle

Urban Expansion and Growth Boundaries in an Oasis City in an Arid Region: A Case Study of Jiayuguan City, China

by Jun Ren, Wei Zhou, Xuelu Liu, Liang Zhou, Jing Guo, Yonghao Wang, Yanjun Guan, Jingtian Mao, Yuhan Huang and Rongrong Ma

Sustainability 2020, 12(1), 210; https://doi.org/10.3390/su12010210 - 25 Dec 2019

Cited by 5 | Viewed by 3317

Abstract

China is undergoing rapid urbanization, which has caused undesirable urban sprawl and ecological deterioration. Urban growth boundaries (UGBs) are an effective measure to restrict the irrational urban sprawl and protect the green space. However, the delimiting method and control measures of the UGBs [...] Read more.

China is undergoing rapid urbanization, which has caused undesirable urban sprawl and ecological deterioration. Urban growth boundaries (UGBs) are an effective measure to restrict the irrational urban sprawl and protect the green space. However, the delimiting method and control measures of the UGBs is at the exploratory stage in China. In this paper, a cellular automata model based on multi-criteria evaluation (MCE-CA) was proposed to delimit the UGBs. The MCE-CA model considers influencing factors related to urban growth and generates UGBs based on spatiotemporally dynamic simulations. The MCE-CA model was applied to generate the UGBs of Jiayuguan City in 2020 and 2030, the results show that the simulation accuracy is higher than 0.8 and the compactness increases to 0.23, which demonstrates that the MCE-CA model is an effective model for delimiting UGBs. Moreover, the MCE-CA model can corporate the contradiction between environmental protection and urban development, promoting urban smart growth and sustainable development. UGBs is an effective tool for China to realize ecological civilization construction and improve the spatial governance ability, and the MCE-CA model can be used to assist planners in delimiting future UGBs, this study provides a methodological reference for future research of UGBs in Chinese cities. Full article

► Show Figures

Figure 1

16 pages, 1377 KiB

Open AccessArticle

Green Supplier Evaluation and Selection with an Extended MABAC Method Under the Heterogeneous Information Environment

by Xue-Guo Xu, Hua Shi, Li-Jun Zhang and Hu-Chen Liu

Sustainability 2019, 11(23), 6616; https://doi.org/10.3390/su11236616 - 22 Nov 2019

Cited by 17 | Viewed by 2819

Abstract

With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. [...] Read more.

With the increasing awareness of global environmental protection, green production has become a significant part for enterprises to remain in a competitive position. For a manufacturing company, selecting the most suitable green supplier plays an important role in enhancing its green production performance. In this paper, we develop a new green supplier evaluation and selection model through the combination of heterogeneous criteria information and an extended multi-attributive border approximation area comparison (MABAC) method. Considering the complexity of decision context, heterogeneous information, including real numbers, interval numbers, trapezoidal fuzzy numbers, and linguistic hesitant fuzzy sets, is utilized to evaluate alternative suppliers with respect to the selected criteria. A maximizing consensus approach is constructed to determine the weight of each decision-maker based on incomplete weighting information. Then, the classical MABAC method is modified for ranking candidate green suppliers under the heterogeneous information environment. Finally, the developed green supplier selection model is applied in a case study from the automobile industry to illustrate its practicability and efficiency. Full article

► Show Figures

Figure 1

19 pages, 713 KiB

Open AccessArticle

A Dynamic Decision Making Method Based on GM(1,1) Model with Pythagorean Fuzzy Numbers for Selecting Waste Disposal Enterprises

by Peng Li, Ju Liu and Cuiping Wei

Sustainability 2019, 11(20), 5557; https://doi.org/10.3390/su11205557 - 09 Oct 2019

Cited by 9 | Viewed by 2414

Abstract

With the rapid development of society and the economy, most cities have to face a serious problem of “Garbage Siege”. The garbage classification is imperative because the traditional disposal method for household solid waste is not suitable for this situation. The Chinese government [...] Read more.

With the rapid development of society and the economy, most cities have to face a serious problem of “Garbage Siege”. The garbage classification is imperative because the traditional disposal method for household solid waste is not suitable for this situation. The Chinese government proposed a public private partnership (PPP) style to increase the efficiency of garbage disposal in 2013. An effective method to evaluate the waste disposal enterprises is essential to choose suitable ones. A reasonable evaluation method should consider enterprises’ performance not only now but also in the future. This paper aims to propose a dynamic decision making method to evaluate the enterprises’ performance based on a GM(1,1) model and regret theory with Pythagorean fuzzy numbers (PFNs). First, we proposed a GM(1,1) model for predicting score function of PFNs. Then, we put forward a method to obtain the prediction of grey degree using OWA operator. Based on the prediction of score function and grey degree, we established a novel GM(1,1) model of PFNs. Furthermore, we utilized the grey incidence method to obtain the criteria weights with Pythagorean fuzzy information. We used the regret theory to aggregate information and rank the alternatives. Finally, we applied our proposed method to solve the selecting waste disposal enterprises problem in Shanghai. By the case study we can obtain that our method is effective to solve this problem. Full article

► Show Figures

Figure 1

22 pages, 6913 KiB

Open AccessArticle

An Improved Indicator System for Evaluating the Progress of Sustainable Development Goals (SDGs) Sub-Target 9.1 in County Level

by Jiacheng Xu, Jianjun Bai and Jun Chen

Sustainability 2019, 11(17), 4783; https://doi.org/10.3390/su11174783 - 02 Sep 2019

Cited by 10 | Viewed by 3464

Abstract

In order to assess the progress of the SDG sub-target 9.1 at the county level, the SDG indicator 9.1.1 (rural access index) and 9.1.2 (passenger and freight volumes) were implemented in Deqing County, China to explore the fitness-for-purpose of these indicators for county [...] Read more.

In order to assess the progress of the SDG sub-target 9.1 at the county level, the SDG indicator 9.1.1 (rural access index) and 9.1.2 (passenger and freight volumes) were implemented in Deqing County, China to explore the fitness-for-purpose of these indicators for county level evaluations. It is found that the country-oriented indicator system has some localization problems and cannot fully reflect the connotation of the SDG sub-target 9.1 when used in the county level. An improved indicator system was built by modifying the SDG indicator 9.1.1 and adding three more indicators (namely the road density, accessibility, and total postal business). The analysis of the calculation process and results showed that the improved indicator system can solve the problems arising from the original SDG indicator when applied in the county level. The modified resident access index can eliminate the dependence of the original indicator 9.1.1 calculations on urban-rural boundary data, and takes into account the urban vulnerable groups such as urban villages residents. While the road density and accessibility can be used to measure the quantity, quality, and connectivity of the road and the reality of the residents to obtain the road, which enables the indicators to reflect the necessary details of the level of the transportation infrastructure construction. The total postal business can help the SDG indicator 9.1.2 reflect the relationship between the transportation infrastructure construction and the development of the economic and people’s livelihood. Full article

► Show Figures

Figure 1

14 pages, 2819 KiB

Open AccessArticle

Drought Risk Assessment and Estimation in Vulnerable Eco-Regions of China: Under the Background of Climate Change

by Jieming Chou, Tian Xian, Runze Zhao, Yuan Xu, Fan Yang and Mingyang Sun

Sustainability 2019, 11(16), 4463; https://doi.org/10.3390/su11164463 - 18 Aug 2019

Cited by 22 | Viewed by 3773

Abstract

Drought risk analysis can help improve disaster management techniques, thereby reducing potential drought risk under the impacts of climate change. This study analyses observed and model-simulated spatial patterns of changes in drought risk in vulnerable eco-regions in China during 1988–2017 and 2020–2050 using [...] Read more.

Drought risk analysis can help improve disaster management techniques, thereby reducing potential drought risk under the impacts of climate change. This study analyses observed and model-simulated spatial patterns of changes in drought risk in vulnerable eco-regions in China during 1988–2017 and 2020–2050 using an analytic hierarchy process (AHP) method. To perform a risk assessment and estimation of a drought disaster, three subsystems—namely hazard, vulnerability and exposure—are assessed in terms of the effects of climate change since the middle of the 21st century: (i) Hazards, represented by climate anomalies related to the drought process, such as changes in rainfall averages, temperature averages and evaporation averages; (ii) vulnerability, encompassing land use and mutual transposition between them; (iii) exposure, consisting of socioeconomic, demographic, and farming. The results demonstrated that high hazards continue to be located in the arid zone, high vulnerability levels occur in the Junggar Basin and Inner Mongolia Plateau, and high exposure levels occur Loess Plateau and southern coastal area. In this way, the results provide exhaustive measures for proactive drought risk management and mitigation strategies. Full article

► Show Figures

Figure 1

23 pages, 2783 KiB

Open AccessArticle

A Proposal for a Decision-Making Tool in Third-Party Logistics (3PL) Provider Selection Based on Multi-Criteria Analysis and the Fuzzy Approach

by Stefan Jovčić, Petr Průša, Momčilo Dobrodolac and Libor Švadlenka

Sustainability 2019, 11(15), 4236; https://doi.org/10.3390/su11154236 - 05 Aug 2019

Cited by 41 | Viewed by 6694

Abstract

The selection of a third-party logistics (3PL) provider is an important and demanding task for many companies and organizations dealing with distribution activities. To assist in decision making, this paper proposes the implementation of fuzzy logic. To design a fuzzy inference system (FIS), [...] Read more.

The selection of a third-party logistics (3PL) provider is an important and demanding task for many companies and organizations dealing with distribution activities. To assist in decision making, this paper proposes the implementation of fuzzy logic. To design a fuzzy inference system (FIS), the first prerequisite is to determine a set of evaluation criteria and sub-criteria and to find the relationship between them. This task was solved by an extensive review of the literature and expert opinions on implementing the Fuzzy Analytic Hierarchy Process (AHP) approach. The results obtained in the first part of the research, together with data collected from 20 3PL providers, were further used in the second part, which was related to the implementation of the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) method. Finally, a decision-making tool for 3PL provider selection was designed as an FIS structure, where the inputs were the previously defined criteria and the output was a preference for 3PL selection. The fuzzy rules were generated on the basis of the collected empirical data, the preferences obtained by the TOPSIS method, and expert opinion using the Wang–Mendel method. The proposed fuzzy model is particularly suitable when input data are not crisp values but are provided descriptively through linguistic statements. Full article

► Show Figures

Figure 1

26 pages, 4240 KiB

Open AccessArticle

Transformational Leadership, Systems, and Intrinsic Motivation Impacts on Innovation in Higher Education Institutes: Faculty Perspectives in Engineering Colleges

by Reem S. Al-Mansoori and Muammer Koç

Sustainability 2019, 11(15), 4072; https://doi.org/10.3390/su11154072 - 28 Jul 2019

Cited by 21 | Viewed by 7393

Abstract

Learning institutes are unique places for innovation, technical transformations, and social changes, which are the main pillars for sustainable development. The purpose of this study was to examine the innovation capacity building through the impact of transformational leadership on followers’ satisfaction and output [...] Read more.

Learning institutes are unique places for innovation, technical transformations, and social changes, which are the main pillars for sustainable development. The purpose of this study was to examine the innovation capacity building through the impact of transformational leadership on followers’ satisfaction and output in two engineering colleges: one in a public university in the United States and the other in an International Branch Campus in Qatar. The Multifactor Leadership Questionnaire was used to assess leadership style, and three output indicators were chosen to represent innovative outputs. Innovation-driven systems and Intrinsic motivation were other innovation drivers assessed through the designed survey. The Statistical Package of Social Science was used to identify the correlated constructs of leadership styles and outcomes. The explanatory sequential mixed method helped explain the underlying reasons for the quantitative results through interviews with faculty. The study showed that leaders (deans) exhibited different ranges of transformational leadership styles, yet were lower than the norm. Moreover, transformational leadership traits, in addition to contingent rewards from transactional leadership, were highly correlated with followers’ satisfaction with the leader and the system. As this was a cross-cultural study, context affected the participation rate and response results, as hesitation to evaluate the dean was common in a high power–distance context. Full article

► Show Figures

Figure 1

15 pages, 1026 KiB

Open AccessArticle

The Balance of Individual and Infrastructure Values in Decisions Regarding Advanced Science and Technology

by Shunichi Hienuki, Kazuhiko Noguchi, Tadahiro Shibutani, Takahiro Saigo and Atsumi Miyake

Sustainability 2019, 11(12), 3385; https://doi.org/10.3390/su11123385 - 19 Jun 2019

Cited by 6 | Viewed by 3029

Abstract

A country’s scientific technology policy rarely reflects public opinion. In this study, we created a hierarchical model of societal well-being, comprising five value components for both individual and infrastructure well-being, to analyze the balance among these values. We conducted a survey in two [...] Read more.

A country’s scientific technology policy rarely reflects public opinion. In this study, we created a hierarchical model of societal well-being, comprising five value components for both individual and infrastructure well-being, to analyze the balance among these values. We conducted a survey in two stages; first, both individual and infrastructure well-being were investigated, and then the weights between pairs of value categories composing individual and infrastructure well-being were scored to assess which categories were most important. The analysis of the first stage used the score magnitudes, while that of the second stage used the analytic hierarchy process. The results showed that people value individual well-being more than infrastructure well-being. For both types of well-being, values related to the economy and safety were ranked as more important than the other values, but the weights were distributed over all value components. For individual well-being, the most important value category was the one related to safety, while for infrastructure well-being, it was economy. Therefore, people prioritize different values for themselves and for society as a whole. This suggests that when making decisions regarding technology, it is necessary to understand its effects on all fields and consider the balance between the value categories of well-being. Full article

► Show Figures

Figure 1

24 pages, 1884 KiB

Open AccessArticle

A Hybrid Approach for Multi-Step Wind Speed Forecasting Based on Multi-Scale Dominant Ingredient Chaotic Analysis, KELM and Synchronous Optimization Strategy

by Wenlong Fu, Kai Wang, Jianzhong Zhou, Yanhe Xu, Jiawen Tan and Tie Chen

Sustainability 2019, 11(6), 1804; https://doi.org/10.3390/su11061804 - 25 Mar 2019

Cited by 40 | Viewed by 4031

Abstract

Accurate wind speed prediction plays a significant role in reasonable scheduling and the safe operation of the power system. However, due to the non-linear and non-stationary traits of the wind speed time series, the construction of an accuracy forecasting model is difficult to [...] Read more.

Accurate wind speed prediction plays a significant role in reasonable scheduling and the safe operation of the power system. However, due to the non-linear and non-stationary traits of the wind speed time series, the construction of an accuracy forecasting model is difficult to achieve. To this end, a novel synchronous optimization strategy-based hybrid model combining multi-scale dominant ingredient chaotic analysis and a kernel extreme learning machine (KELM) is proposed, for which the multi-scale dominant ingredient chaotic analysis integrates variational mode decomposition (VMD), singular spectrum analysis (SSA) and phase-space reconstruction (PSR). For such a hybrid structure, the parameters in VMD, SSA, PSR and KELM that would affect the predictive performance are optimized by the proposed improved hybrid grey wolf optimizer-sine cosine algorithm (IHGWOSCA) synchronously. To begin with, VMD is employed to decompose the raw wind speed data into a set of sub-series with various frequency scales. Later, the extraction of dominant and residuary ingredients for each sub-series is implemented by SSA, after which, all of the residuary ingredients are accumulated with the residual of VMD, to generate an additional forecasting component. Subsequently, the inputs and outputs of KELM for each component are deduced by PSR, with which the forecasting model could be constructed. Finally, the ultimate forecasting values of the raw wind speed are calculated by accumulating the predicted results of all the components. Additionally, four datasets from Sotavento Galicia (SG) wind farm have been selected, to achieve the performance assessment of the proposed model. Furthermore, six relevant models are carried out for comparative analysis. The results illustrate that the proposed hybrid framework, VMD-SSA-PSR-KELM could achieve a better performance compared with other combined models, while the proposed synchronous parameter optimization strategy-based model could achieve an average improvement of 25% compared to the separated optimized VMD-SSA-PSR-KELM model. Full article

► Show Figures

Figure 1

12 pages, 2378 KiB

Open AccessArticle

Measuring Environmental Perceptions Grounded on Different Theoretical Models: The 2-Major Environmental Values (2-MEV) Model in Comparison with the New Ecological Paradigm (NEP) Scale

by Constantinos C. Manoli, Bruce Johnson, Sanlyn Buxner and Franz Bogner

Sustainability 2019, 11(5), 1286; https://doi.org/10.3390/su11051286 - 01 Mar 2019

Cited by 16 | Viewed by 4914

Abstract

Our study examined the two-dimensional nature of the Two Major Environmental Values model (2-MEV) in comparison with the New Ecological Paradigm (NEP) scale’s unidimensional construct. The latter places respondents on a continuum from a bio-centric to anthropocentric worldview, where an individual can either [...] Read more.

Our study examined the two-dimensional nature of the Two Major Environmental Values model (2-MEV) in comparison with the New Ecological Paradigm (NEP) scale’s unidimensional construct. The latter places respondents on a continuum from a bio-centric to anthropocentric worldview, where an individual can either have a pro-environmental (bio-centric) or an anti-environmental (anthropocentric) perspective, but not both. On the other hand, the 2-MEV treats biocentrism (Preservation, PRE) and anthropocentrism (Utilization, UTL) as two separate and not necessarily related components. The model allows us to place individuals into one of four quadrants, rather than on either end of a continuum, allowing an individual to have a bio-centric and an anthropocentric worldview at the same time. Students’ environmental perceptions were measured using the NEP and 2-MEV questionnaires. As predicted, high preservation/low utilization scorers preferred a biocentric worldview on the NEP; similarly, low preservation/high utilization scorers preferred an anthropocentric worldview on the NEP. However, the NEP failed to differentiate between the high preservation/high utilization and low preservation/low utilizations scorers. Both of these groups of students, while on different quadrants on the 2-MEV, cluster together in the middle of the unidimensional NEP. Evidence suggests that the NEP may not fully explore all dimensions of environmental perceptions. Full article

► Show Figures

Figure 1

21 pages, 2117 KiB

Open AccessArticle

A Forecast and Mitigation Model of Construction Performance by Assessing Detailed Engineering Maturity at Key Milestones for Offshore EPC Mega-Projects

by Myung-Hun Kim, Eul-Bum Lee and Han-Suk Choi

Sustainability 2019, 11(5), 1256; https://doi.org/10.3390/su11051256 - 27 Feb 2019

Cited by 13 | Viewed by 4352

Abstract

The main subject of this research is to develop a forecast and mitigation model of schedule and cost performance during a detailed engineering stage of offshore engineering, procurement and construction (EPC) projects. The weight factors of major elements in detailed engineering completion rating [...] Read more.

The main subject of this research is to develop a forecast and mitigation model of schedule and cost performance during a detailed engineering stage of offshore engineering, procurement and construction (EPC) projects. The weight factors of major elements in detailed engineering completion rating index system (DECRIS) were measured using a fuzzy inference system (FIS) and an analytic hierarchy process (AHP). At five key engineering milestones, from an EPC contract being awarded to the start of construction, detailed engineering maturities were assessed in fourteen historical offshore EPC projects using the DECRIS model. DECRIS cutoff scores for successful project execution were defined at the key engineering milestones. A schedule and cost performance was forecasted and validated through comparison of DECRIS and other models using statistical confidence of a fuzzy set qualitative comparative analysis (fsQCA) and a regression analysis. As a mitigation method for engineering risks to EPC contractors, engineering resource enhancement is recommended for trade-off optimization of cost overrun using a Monte Carlo simulation. The main contribution of this research is that EPC contractors could continuously forecast construction costs and schedule performance utilizing the DECRIS model, and could review the adequacy of engineering resources, assessing the trade-off between said resources and cost/schedule risk mitigation. Full article

► Show Figures

Figure 1

14 pages, 731 KiB

Open AccessArticle

Collaborative Learning by Teaching: A Pedagogy between Learner-Centered and Learner-Driven

by Xiaodan Zhou, Ling-Hsiu Chen and Chin-Ling Chen

Sustainability 2019, 11(4), 1174; https://doi.org/10.3390/su11041174 - 22 Feb 2019

Cited by 23 | Viewed by 7905

Abstract

Learner-centered and learner-driven pedagogy have long been advocated by many educators and scholars who focus on sustainable education. This study proposes a pedagogical approach called collaborative learning by teaching (CLBT), which is both learner-centered and learner-driven. This study aims to explore and analyze [...] Read more.

Learner-centered and learner-driven pedagogy have long been advocated by many educators and scholars who focus on sustainable education. This study proposes a pedagogical approach called collaborative learning by teaching (CLBT), which is both learner-centered and learner-driven. This study aims to explore and analyze the student perceptions of CLBT by conducting a field experiment in a Chinese public university. The quantitative results show that student perceptions were comprised of three dimensions: perceptions of CLBT, perceptions of teamwork, and perceptions of mobile learning. The male students had significantly more positive perceptions of CLBT and mobile learning compared to the female students. The qualitative findings indicate that although students have some difficulties with self-discipline, they gain much in active learning capabilities and teamwork skills. The relationship between CLBT and sustainability competence should be further studied in the future. Full article

► Show Figures

Figure 1

20 pages, 4158 KiB

Open AccessArticle

Environmental Impacts of Energy Saving Actions in an Academic Building

by José Antonio Hoyo-Montaño, Guillermo Valencia-Palomo, Rafael Armando Galaz-Bustamante, Abel García-Barrientos and Daniel Fernando Espejel-Blanco

Sustainability 2019, 11(4), 989; https://doi.org/10.3390/su11040989 - 14 Feb 2019

Cited by 11 | Viewed by 3892

Abstract

Global warming and climate change effects have been of such impact that several countries around the world are enforcing public policies to mitigate them. Mexico has shown a strong commitment to the environment and rational use of energy, as signed on the General [...] Read more.

Global warming and climate change effects have been of such impact that several countries around the world are enforcing public policies to mitigate them. Mexico has shown a strong commitment to the environment and rational use of energy, as signed on the General Law for Climate Change (GLCC) and stating, in its second article, the goal of a 30% reduction of greenhouse gases by 2020. To add to this goal, the Hermosillo Institute of Technology is implementing a pilot energy saving program that mixes retrofitting of academic buildings and the implementation of automatic controls for lighting and heating, ventilating, and air conditioning (HVAC). The retrofitting is performed by replacing fluorescent T8 tubes with high efficiency LED T8 tubes in a new arrangement. To increase the energy saving obtained by the retrofitting, a building automation and control system (BACS) has been developed and installed. The BACS is implemented using two different networks, the first one communicates a central control unit with the building control node using a private Ethernet network. Inside the building, the control actions are transmitted using a ZigBee network. The energy savings have been estimated as 4864 kWh/year, representing a 36.42% saving, the environmental and health effects are calculated using emission parameters of the nearest power plant to our site, and the procedure presented in Harvard’s Six Cities Study by Dockery. Results show a total CO₂eq equivalent to 0.000409% of the national goal. The economic impacts of the carbon social cost and health benefits are $745.26 USD/year and $4017.71 USD/year while the direct billing savings are $3700.56 USD/year, and these results are based on only one building of the campus. Full article

► Show Figures

Figure 1

21 pages, 3259 KiB

Open AccessArticle

How to Allocate Carbon Emission Permits Among China’s Industrial Sectors Under the Constraint of Carbon Intensity?

by Jianguo Zhou, Yushuo Li, Xuejing Huo and Xiaolei Xu

Sustainability 2019, 11(3), 914; https://doi.org/10.3390/su11030914 - 11 Feb 2019

Cited by 11 | Viewed by 3973

Abstract

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon [...] Read more.

With the official launch of China’s national unified carbon trading system (ETS) in 2017, it has played an increasingly important role in controlling the growth of carbon dioxide emissions. One of the core issues in carbon trading is the allocation of initial carbon emissions permits. Since the industry emits the largest amount of carbon dioxide in China, a study on the allocation of carbon emission permits among China’s industrial sectors is necessary to promote industry carbon abatement efficiency. In this study, industrial carbon emissions permits are allocated to 37 sub-sectors of China to reach the emission reduction target of 2030 considering the carbon marginal abatement cost, carbon abatement responsibility, carbon abatement potential, and carbon abatement capacity. A hybrid approach that integrates data envelop analysis (DEA), the analytic hierarchy process (AHP), and principal component analysis (PCA) is proposed to allocate carbon emission permits. The results of this study are as follows: First, under the constraint of carbon intensity, the carbon emission permits of the total industry in 2030 will be 8792 Mt with an average growth rate of 3.27%, which is 1.57 times higher than that in 2016. Second, the results of the carbon marginal abatement costs show that light industrial sectors and high-tech industrial sectors have a higher abatement cost, while energy-intensive heavy chemical industries have a lower abatement cost. Third, based on the allocation results, there are six industrial sub-sectors that have obtained major carbon emission permits, including the smelting and pressing of ferrous metals (S24), manufacturing of raw chemical materials and chemical products (S18), manufacturing of non-metallic mineral products (S23), smelting and pressing of non-ferrous metals (S25), production and supply of electric power and heat power (S35), and the processing of petroleum, coking, and processing of nuclear fuel (S19), accounting for 69.23% of the total carbon emissions permits. Furthermore, the study also classifies 37 industrial sectors to explore the emission reduction paths, and proposes corresponding policy recommendations for different categories. Full article

► Show Figures

Figure 1

20 pages, 538 KiB

Open AccessArticle

The Method and Model of Ecological Technology Evaluation

by Xiaoning Hu, Meizi Si, Han Luo, Mancai Guo and Jijun Wang

Sustainability 2019, 11(3), 886; https://doi.org/10.3390/su11030886 - 08 Feb 2019

Cited by 7 | Viewed by 3177

Abstract

In order to evaluate ecological technology scientifically, we constructed a modular “three-stage evaluation method” based on qualitative evaluation, semiquantitative evaluation and quantitative evaluation, and established the theoretical models of the four kinds of ecotechnology, such as soil and water conservation technology, desertification governance [...] Read more.

In order to evaluate ecological technology scientifically, we constructed a modular “three-stage evaluation method” based on qualitative evaluation, semiquantitative evaluation and quantitative evaluation, and established the theoretical models of the four kinds of ecotechnology, such as soil and water conservation technology, desertification governance technology, rocky desertification governance technology and ecological restoration technology. We gave the quantification criteria of the first-level and second-level index commonly shared by four kinds of ecotechnology and defined the quantification criteria of the third-level index of reflecting the heterogeneity of soil and water conservation technology. An ecotechnology evaluation model combining Analytic Hierarchy Process and Logistic regression was established based on soil and water conservation technology. The rationality of the evaluation method and model were verified by field investigation data of soil and water conservation technology in Gaoxigou. The evaluation method and model could provide scientific basis for the effective introduction and popularization of ecotechnology. Full article

► Show Figures

Figure 1

2018

Jump to: 2023, 2022, 2021, 2020, 2019, 2017

15 pages, 1390 KiB

Open AccessArticle

The Multi-Aspect Criterion in the PMADM Outline and Its Possible Application to Sustainability Assessment

by Sarfaraz Hashemkhani Zolfani, Edmundas Kazimieras Zavadskas, Payam Khazaelpour and Fausto Cavallaro

Sustainability 2018, 10(12), 4451; https://doi.org/10.3390/su10124451 - 27 Nov 2018

Cited by 17 | Viewed by 4150

Abstract

Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a [...] Read more.

Over the past few centuries, the process of decision-making has become more complicated in different respects. Since the initial phase of Multiple Criteria Decision Making (MCDM) around fifty years ago, Multiple Attribute Decision Making (MADM) has continued developing over the years as a sub-concept of MCDM. Noticeably, the importance of the decision-making process is increasingly expanding to such an extent that it necessarily blends into the undeniable processes of MADM actual models. Novel methods with different perspectives have been introduced considering the dynamic MADM concepts of time and future in classical frameworks; however, they do not overcome challenges in practice. Recently, Prospective MADM (PMADM) as a specific approach has presented future-oriented models using already known approaches of MCDM, and it has innovative items which show barriers of classic model of MADM. However, PMADM practically needs more conceptual bases to illustrate and plan the future of real decision-making problems. The Multi-Aspect Criterion is a new concept in mapping the future of the PMADM outline. In this regard, two examples of sustainability will be analyzed, and different requirements and aspects associated with PMADM will be discussed in this study. This new approach can support the PMADM outline in more detail and deal with a decision-making structure that can be considered as novel to industry experts. Full article

► Show Figures

Figure 1

22 pages, 23384 KiB

Open AccessArticle

Parametric Model for Window Design Based on Prospect-Refuge Measurement in Residential Environment

by Ji Hyoun Hwang and Hyunsoo Lee

Sustainability 2018, 10(11), 3888; https://doi.org/10.3390/su10113888 - 25 Oct 2018

Cited by 9 | Viewed by 4473

Abstract

As the concept of prospect-refuge defines a preferred environment, the spatial elements that provide good conditions for the catalyst of the theory have been extensively studied. The well-known architectural element of this theory is the window that optimizes visual openness to outdoor or [...] Read more.

As the concept of prospect-refuge defines a preferred environment, the spatial elements that provide good conditions for the catalyst of the theory have been extensively studied. The well-known architectural element of this theory is the window that optimizes visual openness to outdoor or enclosure from outdoor. The aim of this paper is to develop a design method for prospect-refuge condition by adjusting window design attributes. A parametric design model that measures spatial conditions and presents design alternatives for the window is proposed in two major phases. First, this paper explains a parametric model to generate design alternatives for a window according to its size, aspect ratio, location, and shape. In the second phase, the parametric algorithm is defined for the measurement of prospect-refuge with 3D visibility. As a result, we explore the impact of window design variables on average visibility and difference visibility of prospect and refuge area. Using the parametric design technology, the proposed method presents analytical techniques, considering spatial characteristics. Full article

► Show Figures

Figure 1

17 pages, 7045 KiB

Open AccessArticle

Sustainable Development of Water Resources: Spatio-Temporal Analysis of Water Stress in South Korea

by Soojun Kim, Naresh Devineni, Upmanu Lall and Hung Soo Kim

Sustainability 2018, 10(10), 3795; https://doi.org/10.3390/su10103795 - 20 Oct 2018

Cited by 8 | Viewed by 6269

Abstract

The development of South Korean water resources has been heavily concentrated in a few areas, corresponding to regions that have experienced economic growth. The resulting competition for the resource is leading to calls for more equitable water distribution. The objective of this study [...] Read more.

The development of South Korean water resources has been heavily concentrated in a few areas, corresponding to regions that have experienced economic growth. The resulting competition for the resource is leading to calls for more equitable water distribution. The objective of this study is to evaluate water stress areas for sustainable water resources management. For this, a spatially distributed water stress index that accounts for climate variability at intra- and inter-annual time scales is developed and applied to South Korea to better understand the water allocations, and the subsequent water stress. Water demand (household water, industrial water, agricultural water, and livestock water) and water supply (precipitation use, reservoir use, stream use, and underground water use) estimates based on the period 1973–2009 were used to compute the normalized deficit index (NDI) and normalized deficit cumulative (NDC) for each hydrologic basin. Water stress was assessed for each of the four decades (1973–1982; 1983–1991; 1992–2000; 2001–2009). The overall water stress has decreased in 2000–2009 compared to 1973–1982 because of water infrastructure development. However, while the risk of water stress was low in the Han River basin, the Nakdong River was found to be very vulnerable to water stress. It was possible to investigate where water management strategies are needed for the sustainable development of South Korean water resources. Full article

► Show Figures

Figure 1

20 pages, 3665 KiB

Open AccessArticle

Measuring Country Sustainability Performance Using Ensembles of Neuro-Fuzzy Technique

by Mehrbakhsh Nilashi, Fausto Cavallaro, Abbas Mardani, Edmundas Kazimieras Zavadskas, Sarminah Samad and Othman Ibrahim

Sustainability 2018, 10(8), 2707; https://doi.org/10.3390/su10082707 - 01 Aug 2018

Cited by 19 | Viewed by 4933

Abstract

Global warming is one of the most important challenges nowadays. Sustainability practices and technologies have been proven to significantly reduce the amount of energy consumed and incur economic savings. Sustainability assessment tools and methods have been developed to support decision makers in evaluating [...] Read more.

Global warming is one of the most important challenges nowadays. Sustainability practices and technologies have been proven to significantly reduce the amount of energy consumed and incur economic savings. Sustainability assessment tools and methods have been developed to support decision makers in evaluating the developments in sustainable technology. Several sustainability assessment tools and methods have been developed by fuzzy logic and neural network machine learning techniques. However, a combination of neural network and fuzzy logic, neuro-fuzzy, and the ensemble learning of this technique has been rarely explored when developing sustainability assessment methods. In addition, most of the methods developed in the literature solely rely on fuzzy logic. The main shortcoming of solely using the fuzzy logic rule-based technique is that it cannot automatically learn from the data. This problem of fuzzy logic has been solved by the use of neural networks in many real-world problems. The combination of these two techniques will take the advantages of both to precisely predict the output of a system. In addition, combining the outputs of several predictors can result in an improved accuracy in complex systems. This study accordingly aims to propose an accurate method for measuring countries’ sustainability performance using a set of real-world data of the sustainability indicators. The adaptive neuro-fuzzy inference system (ANFIS) technique was used for discovering the fuzzy rules from data from 128 countries, and ensemble learning was used for measuring the countries’ sustainability performance. The proposed method aims to provide the country rankings in term of sustainability. The results of this research show that the method has potential to be effectively implemented as a decision-making tool for measuring countries’ sustainability performance. Full article

► Show Figures

Figure 1

28 pages, 1806 KiB

Open AccessArticle

Carbon Emission Reduction with Regard to Retailer’s Fairness Concern and Subsidies

by Linghong Zhang, Bowen Xue and Xiyu Liu

Sustainability 2018, 10(4), 1209; https://doi.org/10.3390/su10041209 - 17 Apr 2018

Cited by 45 | Viewed by 4479

Abstract

This paper considers the impact of consumer environmental awareness (CEA), retailer’s fairness concern, and government subsidies on the two echelon supply chain with one manufacturer and one retailer. The manufacturer produces green products with carbon emission reduction. The government provides two types of [...] Read more.

This paper considers the impact of consumer environmental awareness (CEA), retailer’s fairness concern, and government subsidies on the two echelon supply chain with one manufacturer and one retailer. The manufacturer produces green products with carbon emission reduction. The government provides two types of alternative subsidies: a fixed subsidy (referred to as an F-type subsidy) or a discount subsidy (referred to as a D-type subsidy) to encourage the manufacturer to produce a product with a high carbon emission reduction rate. We aim to provide optimal solutions to the manufacturer and the retailer with regard to the retailer’s fairness concern and government subsidies; thus we discuss four decision scenarios: the benchmark model without the fairness concern and subsidy, the model with the retailer’s fairness concern, the model with fairness concern and the F-type subsidy, and the model with fairness concern and the D-type subsidy. We provide explicit solutions and numerical examples of the optimal carbon emission reduction rate, wholesale price, and retail price. Our study has four main findings: firstly, high consumer environmental awareness will benefit both the manufacturer and the retailer in the above four scenarios; secondly, the fairness concern and subsidy have a counter effect on the optimal strategies (the subsidy could alleviate the negative influence caused by retailer’s fairness concern); thirdly, the government could subsidize the retailer when there is unfairness in the supply chain so that the manufacturer could produce a product with lower carbon emission; finally, using the subsidy related to the environmental quality will be more helpful for improving environment quality, especially when the government has a budget constraint. Full article

► Show Figures

Figure 1

18 pages, 958 KiB

Open AccessArticle

Low Carbon Scenarios for Europe: An Evaluation of Upscaling Low Carbon Experiments

by Christophe Cassen, Meriem Hamdi-Chérif, Giancarlo Cotella, Jacopo Toniolo, Patrizia Lombardi and Jean-Charles Hourcade

Sustainability 2018, 10(3), 848; https://doi.org/10.3390/su10030848 - 16 Mar 2018

Cited by 10 | Viewed by 4977

Abstract

This paper focuses on transformational processes in a post Paris agreement context. It uses IMACLIM-R, an E3 (Environment–Energy–Economy) model allowing for the integration of urban forms, transport dynamics, environmental policies and behaviors. Building upon the study of a set of local low carbon [...] Read more.

This paper focuses on transformational processes in a post Paris agreement context. It uses IMACLIM-R, an E3 (Environment–Energy–Economy) model allowing for the integration of urban forms, transport dynamics, environmental policies and behaviors. Building upon the study of a set of local low carbon experiments throughout the European Union (EU), the paper explores two contrasted stylized scenarios of the low carbon transition in Europe. It highlights that carbon pricing policies are useful guides for transition but cannot achieve the ambitious objective without significant transition costs. It shows that low carbon experiments in the transport and energy sectors are critical dimensions of complementary measures in favor of green infrastructures. Broadening and upscaling low carbon experiments helps overcome the inertias of the transport sector by fostering radical changes in infrastructures, thereby introducing deep transformations in mobility behavior. This can then generate positive macroeconomic outcomes, even though they are also dependent on specific financial support, calling for a renegotiation of the social contract based on specific fiscal reforms and measures to secure funding for these initiatives. The paper concludes with some research avenues for improving this preliminary work and calls for a better understanding of the complexity of the socio-economic patterns of both the transition and the conditions for an effective implementation. Full article

► Show Figures

Graphical abstract

17 pages, 1528 KiB

Open AccessArticle

An Evaluation System for University–Industry Partnership Sustainability: Enhancing Options for Entrepreneurial Universities

by Artūras Kaklauskas, Audrius Banaitis, Fernando A. F. Ferreira, João J. M. Ferreira, Dilanthi Amaratunga, Natalija Lepkova, Ieva Ubartė and Nerija Banaitienė

Sustainability 2018, 10(1), 119; https://doi.org/10.3390/su10010119 - 05 Jan 2018

Cited by 29 | Viewed by 7457

Abstract

The concept of university–industry partnership sustainability (UIPS) stands for well-adjusted progress among key players from universities and industry by sustaining their welfare, both in the present and in the future. This paper sought to develop an evaluation system for UIPS. The need for [...] Read more.

The concept of university–industry partnership sustainability (UIPS) stands for well-adjusted progress among key players from universities and industry by sustaining their welfare, both in the present and in the future. This paper sought to develop an evaluation system for UIPS. The need for such a system is justified at three levels: the micro level (i.e., research and innovation performance, transfer and absorptive capability, and technology development), the meso level (i.e., institutional arrangements, communication networks, and local and indigenous rules) and the macro level (i.e., supply and demand, regulations, financing, taxes, culture, traditions, market, climate, politics, demographics, and technology). The UIPS evaluation system developed in this study offers the possibility of calculating a fair value of UIPS and providing recommendations for improving university–industry (U–I) partnerships. This can be of great importance for entrepreneurial universities that would like to strengthen their corporate links and/or reduce/reverse the “hollowing effect” of globalisation in disadvantaged regions. Additionally, this paper also contains discussions on the advantages, limitations, and managerial implications of this proposal. Full article

► Show Figures

Figure 1

2017

Jump to: 2023, 2022, 2021, 2020, 2019, 2018

645 KiB

Open AccessArticle

Comprehensive Evaluation of the Sustainable Development of Power Grid Enterprises Based on the Model of Fuzzy Group Ideal Point Method and Combination Weighting Method with Improved Group Order Relation Method and Entropy Weight Method

by Shuyu Dai and Dongxiao Niu

Sustainability 2017, 9(10), 1900; https://doi.org/10.3390/su9101900 - 21 Oct 2017

Cited by 24 | Viewed by 5183

Abstract

As an important implementing body of the national energy strategy, grid enterprises bear the important responsibility of optimizing the allocation of energy resources and serving the economic and social development, and their levels of sustainable development have a direct impact on the national [...] Read more.

As an important implementing body of the national energy strategy, grid enterprises bear the important responsibility of optimizing the allocation of energy resources and serving the economic and social development, and their levels of sustainable development have a direct impact on the national economy and social life. In this paper, the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is proposed to evaluate the sustainable development of power grid enterprises. Firstly, on the basis of consulting a large amount of literature, the important criteria of the comprehensive evaluation of the sustainable development of power grid enterprises are preliminarily selected. The opinions of the industry experts are consulted and fed back for many rounds through the Delphi method and the evaluation criteria system for sustainable development of power grid enterprises is determined, then doing the consistent and non dimensional processing of the evaluation criteria. After that, based on the basic order relation method, the weights of each expert judgment matrix are synthesized to construct the compound matter elements. By using matter element analysis, the subjective weights of the criteria are obtained. And entropy weight method is used to determine the objective weights of the preprocessed criteria. Then, combining the subjective and objective information with the combination weighting method based on the subjective and objective weighted attribute value consistency, a more comprehensive, reasonable and accurate combination weight is calculated. Finally, based on the traditional TOPSIS method, the triangular fuzzy numbers are introduced to better realize the scientific processing of the data information which is difficult to quantify, and the queuing indication value of each object and the ranking result are obtained. A numerical example is taken to prove that the model of fuzzy group ideal point method and combination weighting method with improved group order relation method and entropy weight method is feasible and effective for evaluating the sustainable development of power grid enterprises. Full article

► Show Figures

Figure 1

2340 KiB

Open AccessArticle

Application of Structural Equation Modeling (SEM) to Solve Environmental Sustainability Problems: A Comprehensive Review and Meta-Analysis

by Abbas Mardani, Dalia Streimikiene, Edmundas Kazimieras Zavadskas, Fausto Cavallaro, Mehrbakhsh Nilashi, Ahmad Jusoh and Habib Zare

Sustainability 2017, 9(10), 1814; https://doi.org/10.3390/su9101814 - 10 Oct 2017

Cited by 52 | Viewed by 13390

Abstract

Most methodological areas assume common serious reflections to certify difficult study and publication practices, and, therefore, approval in their area. Interestingly, relatively little attention has been paid to reviewing the application of Structural Equation Modeling (SEM) in environmental sustainability problems despite the growing [...] Read more.

Most methodological areas assume common serious reflections to certify difficult study and publication practices, and, therefore, approval in their area. Interestingly, relatively little attention has been paid to reviewing the application of Structural Equation Modeling (SEM) in environmental sustainability problems despite the growing number of publications in the past two decades. Therefore, the main objective of this study is to fill this gap by conducting a wide search in two main databases including Web of Science and Scopus to identify the studies which used SEM techniques in the period from 2005 to 2016. A critical analysis of these articles addresses some important key issues. On the basis of our results, we present comprehensive guidelines to help researchers avoid general pitfalls in using SEM. The results of this review are important and will help researchers to better develop research models based on SEM in the area of environmental sustainability. Full article

► Show Figures

Figure 1

1007 KiB

Open AccessArticle

Factors Influencing Consumers’ Intention to Return the End of Life Electronic Products through Reverse Supply Chain Management for Reuse, Repair and Recycling

by Kamyar Kianpour, Ahmad Jusoh, Abbas Mardani, Dalia Streimikiene, Fausto Cavallaro, Khalil Md. Nor and Edmundas Kazimieras Zavadskas

Sustainability 2017, 9(9), 1657; https://doi.org/10.3390/su9091657 - 18 Sep 2017

Cited by 72 | Viewed by 10857

Abstract

Resource depletion, population growth and environmental problems force companies to collect their end of life (EOL) products for reuse, recycle and refurbishment through reverse supply chain management (RSCM). Success in collecting the EOL products through RSCM depends on the customers’ participation intention. The [...] Read more.

Resource depletion, population growth and environmental problems force companies to collect their end of life (EOL) products for reuse, recycle and refurbishment through reverse supply chain management (RSCM). Success in collecting the EOL products through RSCM depends on the customers’ participation intention. The objectives of this study are: (1) To examine the important factors influencing customers’ attitude to participate in RSCM; (2) To examine the important factors influencing customers’ subjective norm to participate in RSCM; (3) To examine the main factors influencing customers’ perceived behavioral control to participate in RSCM; (4) To examine the influence of attitude, subjective norms and perceived behavioral control on customers’ participation intention in RSCM. The Decomposed Theory of Planned Behaviour (DTPB) has been chosen as the underpinning theory for this research. The research conducted employed the quantitative approach. Non-probability (convenience sampling) method was used to determine the sample and data was collected using questionnaires. Partial Least Squares-Structural Equation Modeling (PLS-SEM) technique was employed. A total of 800 questionnaires were distributed among customers of electronic products in Malaysia. Finally, the questionnaire was distributed among the customers in electronic retailer companies based on convenience sampling method. The empirical results confirm that consumers perception about the risk associated with EOL electronic products, consumers’ ecological knowledge and relative advantages associated with reuse, repair and recycling can influence the attitude of consumers to return the EOL products for reuse, repair and recycling to producer. Full article

► Show Figures

Figure 1

6295 KiB

Open AccessArticle

Influence of the Ground Greening Configuration on the Outdoor Thermal Environment in Residential Areas under Different Underground Space Overburden Thicknesses

by Xiaochao Su, Hao Cai, Zhilong Chen and Qilin Feng

Sustainability 2017, 9(9), 1656; https://doi.org/10.3390/su9091656 - 18 Sep 2017

Cited by 9 | Viewed by 4718

Abstract

In the underground space development of residential areas, outdoor thermal environments at the pedestrian level greatly depend on the ground greening configuration, which is in turn affected by the overburden thickness of the underground space (OTUS). However, few studies have considered the effects [...] Read more.

In the underground space development of residential areas, outdoor thermal environments at the pedestrian level greatly depend on the ground greening configuration, which is in turn affected by the overburden thickness of the underground space (OTUS). However, few studies have considered the effects of OTUS on the ground greening configuration and the further effects of the ground greening configuration on the outdoor thermal environment. This study aimed to provide insights into the design of OTUS for improving outdoor thermal environments. Two residential areas with row and enclosed layouts in Nanjing, China, were numerically studied using the computational fluid dynamics (CFD) simulation software ENVI-met. Outdoor thermal environments in the two residential areas, which had the same greening coverage rate, were simulated under different OTUSs and ground green configurations. The results indicate that to create a comfortable outdoor thermal environment, the OTUS should be designed to satisfy the requirement for planting small trees. If this requirement cannot be adequately satisfied, individuals can also set up tree wells or add soil on top of underground structures to plant small trees, and establish an OTUS that can satisfy the requirement of planting large shrubs in other areas. Full article

► Show Figures

Figure 1

887 KiB

Open AccessReview

Systems Thinking for Life Cycle Sustainability Assessment: A Review of Recent Developments, Applications, and Future Perspectives

by Nuri Cihat Onat, Murat Kucukvar, Anthony Halog and Scott Cloutier

Sustainability 2017, 9(5), 706; https://doi.org/10.3390/su9050706 - 29 Apr 2017

Cited by 186 | Viewed by 22835

Abstract

Tracking the environmental impacts of production, use, and disposal of products (e.g., goods, and services) have been an important issue in the global economy. Although Life Cycle Assessment (LCA) is a widely applied method to track these environmental impacts and support policies, it [...] Read more.

Tracking the environmental impacts of production, use, and disposal of products (e.g., goods, and services) have been an important issue in the global economy. Although Life Cycle Assessment (LCA) is a widely applied method to track these environmental impacts and support policies, it has certain limitations and an isolated way of evaluating the environmental impacts with no consideration of social and economic impacts and mechanisms. To overcome the limits of current LCA, three mechanisms have been proposed in the literature: (1) broadening the indicators by including social and economic indicators in addition to the environmental impacts; (2) broadening the scope of analysis from product-level assessment to national and global levels; (3) deepening the assessment by inclusion of more mechanisms to account for interrelations among the system elements, uncertainty analysis, stakeholder involvement, etc. With these developments, LCA has been evolving into a new framework called Life Cycle Sustainability Assessment (LCSA). Practical application of LCSA requires integration of various methods, tools, and disciplines. In this study, a comprehensive literature review is conducted to investigate recent developments, current challenges, and future perspectives in the LCSA literature. According to the review, a high number (40%) of LCSA studies are from the environmental science discipline, while contributions from other disciplines such as economics (3%) and social sciences (9%) are very low. On broadening the scope of analysis, 58% of the studies are product-level works, while 37% quantified the impacts at national level and achieved an economy-wide analysis, and only 5% of the studies were able to quantify the global impacts of products using LCSA framework. Furthermore, current applications of LCSA have not considered the rebound effects, feedback mechanisms, and interrelations of the system of interest sufficiently. To address these challenges, we present a complete discussion about the overarching role of systems thinking to bring tools, methods and disciplines together, and provide practical examples from the earlier studies that have employed various system-based methods. We discuss the importance of integrated system-based methods for advancement of LCSA framework in the following directions: (1) regional and global level LCSA models using multi-region input-output analysis that is capable of quantitatively capturing macro-level social, environmental, and economic impacts; (2) dealing with uncertainties in LCSA during multi-criteria decision-making process and expert judgments in weighting of LCSA indicators; and (3) integration of system dynamics modeling to reveal complex interconnections, dependencies, and causal relationships between sustainability indicators. Full article

► Show Figures

Figure 1

541 KiB

Open AccessArticle

MCDM Assessment of a Healthy and Safe Built Environment According to Sustainable Development Principles: A Practical Neighborhood Approach in Vilnius

by Edmundas Kazimieras Zavadskas, Fausto Cavallaro, Valentinas Podvezko, Ieva Ubarte and Arturas Kaklauskas

Sustainability 2017, 9(5), 702; https://doi.org/10.3390/su9050702 - 28 Apr 2017

Cited by 66 | Viewed by 8205

Abstract

Urbanization has a massive effect on the environment, both locally and globally. With an ever-increasing scale of construction and manufacturing and misuse of energy resources come poorer air quality, growing mortality rates and more rapid climate change. For these reasons, a healthy and [...] Read more.

Urbanization has a massive effect on the environment, both locally and globally. With an ever-increasing scale of construction and manufacturing and misuse of energy resources come poorer air quality, growing mortality rates and more rapid climate change. For these reasons, a healthy and safe built environment is ever more in demand. Global debates focus on sustainable development of the built environment; a rational approach to its analysis is multiple criteria decision making (MCDM) methods. Alternative MCDM methods applied to the same problem often produce different results. In the search for a more reliable tool, this study proposes that a system of MCDM methods should be applied to a single problem. This article assesses 21 neighborhoods in Vilnius in the context of a healthy and safe built environment in view of the principles of sustainable development. MCDM methods were used for this purpose: entropy, Criterion Impact LOSs (CILOS) and Integrated Determination of Objective Criteria Weights (IDOCRIW) methods were used to determine the objective weights of the criteria, while expert judgement determined the subjective weights. With the overall weights determined, the Vilnius neighborhoods were assessed through the application of COmplex PRoportional ASsessment (COPRAS), Simple Additive Weighting (SAW), Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) and Evaluation based on Distance from Average Solution (EDAS) methods. The final results were then processed using the rank average method, Borda count and Copeland’s method. Full article

► Show Figures

Figure 1

Journal Menu

Journal Browser

Advanced Methodologies for Sustainability Assessment: Theory and Practice

Share This Topical Collection

Editor

Topical Collection Information

Keywords

Published Papers (43 papers)

2023

Jump to: 2022, 2021, 2020, 2019, 2018, 2017

2022

Jump to: 2023, 2021, 2020, 2019, 2018, 2017

2021

Jump to: 2023, 2022, 2020, 2019, 2018, 2017

2020

Jump to: 2023, 2022, 2021, 2019, 2018, 2017

2019

Jump to: 2023, 2022, 2021, 2020, 2018, 2017

2018

Jump to: 2023, 2022, 2021, 2020, 2019, 2017

2017

Jump to: 2023, 2022, 2021, 2020, 2019, 2018

Further Information

Guidelines

MDPI Initiatives

Follow MDPI