Meta-performance evaluation of sustainability indicators

There are many different kinds of frameworks for evaluating environmental and sustainability performance at the organizational level (profit or not-for-profit, private or public), sectoral level (e.g. industry, transport, agriculture and tourism), and local, regional or country levels. Despite the diversity of methods and tools to measure sustainable development, indicators are one of the approaches most used. However, these tools do not usually include evaluation of the performance measurement instrument itself. The main objective of this research is to develop a conceptual framework to design and assess the effectiveness of the sustainability indicators themselves. To put the proposed tool into practice, a set of key good-practice factors and meta-performance evaluation indicators is proposed for adoption in a national case study—the national sustainable development indicators system, SIDS Portugal, and the usefulness of this methodology is demonstrated. This approach aims to evaluate how appropriate a set of sustainability indicators is and allow an evaluation of overall performance-monitoring activities and results. Stakeholder involvement is an essential component of the proposed framework. The tool developed could support continuous improvement in the performance of ongoing sustainability indicator initiatives, allowing greater guidance, objectivity and transparency in sustainability assessment processes.     

Sustainable design indicators: Roadway project as an example

Environmental sustainability has been more examined in the construction industry in recent years. But it is still difficult for engineering designers to incorporate sustainability into their work without practical methods. The design stage is key in the life cycle to integrating sustainability into construction projects. Assessment of sustainable design performance can be an initiative to pursue sustainability.This paper proposes the ratio of items considered/adopted and man-hour spending to measure project sustainable design performance. The two indicators were tested on six roadway projects to validate their applicability on engineering design.The results show that the ratios of items considered and adopted are from 34% to 87%, meaning the many suggested sustainability items can be incorporated into design. The man-hours spent on sustainability are from 2% to 12%, meaning sustainable design initially takes more time than conventional design.The engineering design itself does not cause environmental impact. But the proposed indicators can examine the effort devoted into sustainability in the design stage. This early step helps predict the future environmental performance of designed products.     

Corporate sustainability for architecture engineering and construction (AEC) organizations: Framework,transition and implication strategies

This research aims to propose a regenerative sustainability framework for AEC organizations, not only to focus on delivering green certified projects, but to encourage a revitalized approach to systematically drive their sustainability initiative. To achieve this aim, the study conducts an extensive global review of sustainable assessment systems in various industries and organizations, such as corporate sustainable reports, green company competitions, and green-renowned stocks. After learning the best practices from other industries, a sustainable development framework for the AEC organizations is developed. The proposed framework constitutes 110 key indicators covering three-dimensions of sustainability—social, environmental, and economic, respectively—and four-elements of corporate development essentials—projects, operations, governance, and stakeholders. By comparing the proposed framework to existing AEC practices, the study identifies the skewed development of corporate sustainability in the AEC industry where much awareness have been given to project-level environmental matters, but the social dimension, such as social stakeholders and social governance, are seriously lacking and need to be prioritized. A case study of a multi-millions construction company in China was investigated to validate this framework in practice. The case analysis justifies the practical value of the proposed framework, and elaborates the future need of regenerative sustainable initiatives for AEC organizations. The study contributes to the development of corporate sustainability theory in the AEC industry, and also provides industrial practitioners and policy makers with a better understanding of the next generation of corporate sustainable performance and implementation strategies.     

Development of composite sustainability performance index for steel industry

The steel companies are becoming increasingly aware about the sustainability challenges. In order to become a responsible corporate citizen, the industry has responded to these challenges through adoption of pillars of sustainability. The industry has made the beginning with identification of sustainability indicators. The indicators have been developed specifically for steel industry. Generally, it is quite difficult to evaluate the performance of company on the basis of large number of sustainability indicators. Integration of key sustainability indicators is quite essential for decision-making. Composite indicators are an innovative approach to evaluate sustainable performance. This paper presents a method for development of composite sustainability performance index (CSPI) that addresses the sustainable performance of steel industries along all the three pillars of sustainability—economic, environmental and societal. Organizational governance and technical aspects have also been considered fourth and fifth dimensions of sustainability.The objective of this paper is to introduce sustainability and to present a conceptual decision model, using analytical hierarchy process (AHP) to assist in evaluating the impact of an organization's sustainability performance. AHP has been used to determine the weights at various levels. Sub-indices have been evaluated and aggregated to form CSPI. The effectiveness of the proposed model is evaluated in a case study for a major steel company in India.     

城市可持续规划中的生态敏感区避让分析——以丽江市为例

为促进城市可持续发展,在科学合理规划城市空间格局的基础上,应突出强调保护原有特色生态环境要素,保育生态系统服务功能和原住民人居环境。作为世界文化遗产,丽江城市面貌在过去数十年发生了深刻变化,城市用地显著扩张,同时严峻的环境问题对城市可持续发展提出挑战。以丽江市为例,选取对其发展影响深远的水系元素、噪声环境因子和森林火灾3个关键生态敏感因子,提出通过分析这类生态敏感区在城市规划过程中的避让方法、程度,区划城市规划基本空间格局,以避免城市未来因生态环境问题突出而制约其发展的规划用地思路。结果表明,丽江城区周边湖泊水系、古城内部及周边原住民人口密集区都是保障城市可持续发展的生态保护重点地区,在城市用地规划中必须予以避让;该区域面积为147.2 km2,占研究区面积的11.1%。同时,明确给出了规划用地的具体空间控制范围和相应的避让原则。     

Using dynamic sustainability indicators to assess environmental policy measures in Biosphere Reserves

The assessment of different policy options represents a major tool for decision-makers in Biosphere Reserves, to develop more-resilient strategies for sustainable development and to visualise unintended consequences of these policies.In this work we analyse eight measures proposed by different agents in order to meet the main objectives of environmental sustainability, included in the Action Plan of the Fuerteventura Biosphere Reserve (Spain). We quantified the effects of these measures in terms of the sustainability thresholds of 10 environmental indicators, also proposed by the Action Plan, which was integrated in the Fuerteventura Biosphere Reserve dynamic model. Their behaviours under these measures allow determination of whether the objectives will be met in the period 2012–2025. Although some indicators would improve under these measures, fitting certain objectives, some negative effects on other indicators confirm the existence of trade-offs among these objectives. For instance, grazing limitation would improve the proportion of high-quality vegetation but would negatively affect the Egyptian vulture population, which would even fall below its sustainability threshold. The definition of thresholds for each indicator allows decision-makers to establish a way to prioritise among the eight measures analysed. The results show that these measures are insufficient to meet the sustainability thresholds of four indicators (the landscape indicator, the proportion of renewable energy, the per capita primary energy consumption and carbon dioxide emissions). Focusing on the remaining six indicators and following the rule “Threshold out, measure out”, seven out of the eight measures would exceed some thresholds and should be avoided. Only one option, aimed at growing fodder to feed cattle on restored traditional agricultural lands, would not exceed any of these thresholds. However, this measure also presents certain negative effects regarding indicators related to flagship species (the houbara habitat and the Egyptian vulture population), which would require compensation measures.     

Assessing and comparing relative farm-level sustainability of smallholder shrimp farms in two Sri Lankan provinces using indices developed from two methodological frameworks

As shrimp farming can be an important means of income generation, particularly among Sri Lanka’s rural communities, it is important that this industry grows in a sustainable manner, starting at the farm level. The objectives of this study were to; 1) create baseline farm-level sustainability indices for smallholder shrimp farms in Sri Lanka using both content-based and system-based frameworks adapted from agriculture; 2) determine whether arranging indicators within both content- and system-based sustainability frameworks would provide additional insight into relative farm sustainability (rather than using just one framework); and 3) seek differences between the North Western Province (NWP) and the Eastern Province (EP) in sustainability index, sub-index, or indicator scores that might be used to create province-specific policies and education programs designed to potentially improve sustainable practices at the farm level. Since little has been published on the development of practical indicators and evaluation of farm-level sustainability in aquaculture, this study adapted two types of frameworks used for measuring sustainability in agriculture: content- and system-based. Using both frameworks, along with expert opinion, indicators of farm level sustainability were developed into a questionnaire and measured on 225 farms in two provinces of Sri Lanka. Indicators primarily included modifiable practices that farmers could influence to improve the chances of their farms’ survival. The farm indicators were normalized using “min-max” normalization, where scores of zero and one were assigned for the least and most sustainable options, respectively. Farm indicators in each province were then aggregated into sub-indices as well an overall aggregated sustainability index score. Similar themes were gleaned from both the content-based and system-based sustainability frameworks, and there was no significant difference between mean overall sustainability scores for the two different frameworks. Farms in the NWP scored significantly higher on the overall sustainability indices of both models despite the NWP’s history of severe disease outbreaks while the EP farms had no disease. Possible reasons for this difference were explored with an in-depth analysis of sub-indices as well as individual indicators. An overall aggregated sustainability index score was a useful baseline measure for monitoring changes in sustainability over time; however, its use was limited when attempting to identify gaps in sustainable management practices and provide practical information for farmers and stakeholders to improve farm-level sustainability. It was important to evaluate individual indicators in addition to sub-indices and overall index scores when making recommendations or identifying gaps in sustainable practices at the farm level.     

Sustainable transportation systems performance evaluation using fuzzy logic

Sustainability has become an overarching concern for transportation policy and planning around the world. This article presents an approach for urban transport sustainability performance evaluation using fuzzy logic. This article presents a model for transport sustainability performance evaluation. Appropriate transport sustainability indicators were identified based on literature. The model addresses all major dimensions of transport sustainability such as Economic Sustainability, Social Sustainability, Environmental Sustainability and Transportation System Effectiveness. Transport sustainability index has been computed as (5.05, 6.62, 8.12) and weaker transport sustainability attributes were found. Transport sustainability index highlights the question how far toward becoming transport sustainable is an enterprise or region? While, weaker transport sustainability attributes reveals that how can an enterprise or region improve its transport sustainability effectively? Appropriate actions were initiated to improve urban transport sustainability performance. The results indicate that the model is capable of effectively assessing transport sustainability and has practical relevance. An example is also used to illustrate the approach developed. The results obtained using fuzzy approach has been validated with conventional crisp approach. 20 transport sustainability attributes out of 60 are found to be weaker and appropriate actions were derived to improve the weaker attributes.     

Selection and modeling sustainable urbanization indicators: A responsibility-based method

The responsibility borne by governmental departments measured by a set of indicators is a key factor affecting the performance of urban sustainability. Thus, responsibility analysis can guide the selection of sustainability indicators. In line with the principle of Management by Objective (MBO), this paper aims to introduce a responsibility-based method, named Strategic goal-Responsibility department-Response (SRR), for selecting sustainable urbanization indicators. By applying this method, indicators are selected from the perspective of concerned departments’ responsibility. In developing the SRR model, the tool of Responsibility Assignment Matrix is used to identify the concerned departments who assume responsibilities in the process of implementing sustainable urbanization. The content analysis is used to analyze the work scope and definitions of the concerned departments and sustainable urbanization indicators that can measure the responsibility performance of the concerned departments are filtered out. A case study of Jinan city in China is used to demonstrate the procedures of using the proposed method. Based on the strategic goals of Jinan city, 20 responsibility departments and 152 initial indicators are identified by using the SRR framework. The case study reveals that the method is a feasible and effective tool in assisting policy makers to select sustainable urbanization indicators.     

Comparison of methods for calculation of sustainability indices for alternative sewerage systems—Theoretical and practical considerations

City planners need practical methods to assess and compare the sustainability of different alternatives for urban infrastructure. This article presents the consequences of selecting different methods to normalize the values of sustainability indicators, and the influence of selecting different indicators and different weighting techniques. Chosen indicators represent use of resources, environment, health and safety, psycho/sociological situation. Infrastructure costs are not included in the indicators, since it is more convenient to weigh them against the sustainability indices of the different systems. All indicators are aggregated into one system index. A nature-based sewerage system is compared to a conventional system. The article demonstrates that the method used to normalize the indicators, the choice of relevant indicators and the weighting technique have considerable influence on which system is found to be the more sustainable.     

An Entangled Model for Sustainability Indicators

Nowadays the challenge for humanity is to find pathways towards sustainable development. Decision makers require a set of sustainability indicators to know if the sustainability strategies are following those pathways. There are more than one hundred sustainability indicators but they differ on their relative importance according to the size of the locality and change on time. The resources needed to follow these sustainability indicators are scarce and in some instances finite, especially in smaller regions. Therefore strategies to select set of these indicators are useful for decision makers responsible for monitoring sustainability. In this paper we propose a model for the identification and selection of a set of sustainability indicators that adequately represents human systems. In developing this model, we applied evolutionary dynamics in a space where sustainability indicators are fundamental entities interconnected by an interaction matrix. we used a fixed interaction that simulates the current context for the city of Cuernavaca, México as an example. We were able to identify and define relevant sets indicators for the system by using the Pareto principle. In this case we identified a set of sixteen sustainability indicators with more than 80% of the total strength. This set presents resilience to perturbations. For the Tangled Nature framework we provided a manner of treating different contexts (i.e., cities, counties, states, regions, countries, continents or the whole planet), dealing with small dimensions. This model provides decision makers with a valuable tool to select sustainability indicators set for towns, cities, regions, countries, continents or the entire planet according to a coevolutionary framework. The social legitimacy can arise from the fact that each individual indicator must be selected from those that are most important for the subject community.     

Biodiesel-TBL+: A new hierarchical sustainability assessment framework of PC&I for biodiesel production – Part I

Sustainability assessment of biodiesel production is a topic of increasing importance due to the interest of governments to define sovereignty strategies and diversification of their energy matrix, and to set up the impact of biofuels production. In this context, this work aims to propose a hierarchical structure of sustainability assessment that integrates dimensions of sustainable development with principles, criteria and indicators (PC&I). The method employed to define the hierarchical structure was a comprehensive literature review, based on information search strategy and classification. About 400 documents were reviewed and 103 documents were ultimately selected, including laws, policy documents, certificates, directives and other normative documents and papers published in peer-reviewed journals. The first result of the analysis was the need to strengthen identification of the sustainable development assessment, adding the political and technological dimensions to the three traditional dimensions, social, economic and environmental, studied in this kind of evaluation. The second result was the proposal of a hierarchical framework for the sustainability assessment of biodiesel production, organized in four levels: the first level comprises the five dimensions associated with sustainable development evaluation, the second includes 13 principles, the third contains 40 criteria and the fourth level corresponds to a set of indicators that describes each criterion. Outcomes of this work provide a foundation for further discussion of sustainability assessments for biodiesel production and its potential application in specific contexts.     

Sustainability indicators for municipalities of megacities: Integrating health,safety and environmental performance

The sustainability assessment of public sector organizations including municipalities, with a focus on the integration of health, safety, and environmental (HSE) issues in the context of sustainability performance indicators, has almost remained underexplored. Moreover, since a large number of the activities of megacities’ municipalities have directly to do with HSE issues, there seems to be a substantial gap in the study of megacities and corresponding local public administrations. The present study is aimed at developing a performance evaluation tool, supported by indicators, to monitor the HSE aspects of sustainable development in the municipalities of megacities. To put the proposed tool into practice, a set of performance evaluation indicators is proposed to be adopted in Iranian municipalities, integrated in the megacity of Tehran. The selection process was conducted by employing Delphi technique. In doing so, a 2-round questionnaire was responded by qualified experts to select the most robust indicators of HSE performance and evaluate the priority of each indicator. A total of 80 indicators were generated and grouped into 13 categories, 29 sub-categories, and 7 themes- (Health (H), Safety (S), Environment (E), Health-Safety (HS), Health-Environment (HE), Safety-Environment (SE), and Health, Safety and Environment (HSE)). Findings indicate that amongst the overall average score of the 13 categories, “Fire and emergency response” is the most important category, closely followed by “Waste”, “Transportation”, and “Natural systems” categories. Moreover, among the 7 proposed themes, the integrated “HSE theme”, nearly followed by “safety theme”, plays the most significant role in enhancing the HSE performance of sustainability in Tehran municipalities. It is concluded that in the HSE context of the megacities municipalities under scrutiny, social aspects of sustainability gain more attention in comparison with the environmental ones. Furthermore, in municipalities of megacities, the indicators related to health and safety could be considered as ‘key indicators’ and should be thus classified into independent categories so that their roles can be highlighted in the management and assessment of municipal sustainable development.     

Deriving sustainability measures using statistical data: A case study from the Eisenwurzen, Austria

Within the past two decades sustainability has become a key term in emphasizing and understanding relationships between economic progress and the protection of the environment. One key difficulty is in the definition of sustainability indicators based on information at different spatial and temporal scales. In this paper we formalize statistical models for the assessment of sustainability impact indicators using a public data source provided by the Austrian government. Our application example is the Eisenwurzen region in Austria, an old and famous mining area within the Alps. The total area covers 5.743 km² and includes 99 municipalities. In our study we define 15 impact indicators covering economic, social and environmental impacts. For each of the impact indicators we develop response functions using the available public data sources. The results suggest that the available data are an important source for deriving sustainable impact indicators within specific regions. The presented approach may serve as diagnostic tool to provide insights into the regional drivers for assessing sustainability indicators.     

再论可持续性科学: 新形势与新机遇

近10年来,可持续性科学蓬勃发展,已成为21世纪全球普遍关注的一个重要的新科学领域.然而,在大力提倡可持续发展和生态文明建设的中国,可持续性科学尚未引起科学家和实践者的足够重视.为促进可持续性科学在中国的发展,2014年邬建国等曾撰文介绍什么是可持续性科学.本文进一步探讨了这一问题,并补充阐述了可持续性科学与可持续发展研究的关系、可持续性科学的科学范式及其8个基本论题.基于对可持续性科学发展动态的分析,作者认为,一方面,可持续性科学已进入系统推进的成熟发展期;另一方面,虽然我国可持续发展研究、实践与教育的热情高涨,但在可持续性科学领域起步较晚,落后于主要发达国家和南非.为此,本文在文献综述的基础上,提出促进中国发展可持续性科学的“三位一体”策略:一是“请进来”以服务中国实践;二是“走出去”以贡献中国智慧;三是“中西医结合”以引领学科发展.     

Urbanization and Socioeconomic Metabolism in Taipei

The analysis of socioeconomic metabolism has largely been dominated by quantification of material flows on a mass basis. This neglects the energetic dimensions of the urban metabolism and makes analysis that integrates material and energy flows difficult. The present research applies Odum's emergy concept to integrate energy and material flows for the study of the socioeconomic metabolism of the Taipei area. We also take into consideration the urban sprawl in the Taipei area to study its relationship to the change of socioeconomic metabolism. We interpret SPOT satellite images from 1992 and 2002 to provide a deeper understanding of the whole urban system; results show that Taipei's urban areas increased in size during the past decades. Emergy-based indicators show decreasing empower densities (total emergy use per area) of undeveloped and agricultural areas, whereas the empower density of urban areas has increased, which signals a convergence of resource flows toward urban areas. Such an increase of empower density is mainly due to fossil fuel use and translates into increased environmental loading and decreased sustainability. An analysis of the relationship between urbanization and socioeconomic metabolism indicates that changes in land use affect the characteristics of socioeconomic metabolism in Taipei. The effects of urban sprawl on Taipei's urban sustainability are also discussed.     

An overview of sustainability assessment methodologies

Sustainability indicators and composite index are increasingly recognised as a useful tool for policy making and public communication in conveying information on countries and corporate performance in fields such as environment, economy, society, or technological improvement. By visualizing phenomena and highlighting trends, sustainability indicators simplify, quantify, analyse and communicate otherwise complex and complicated information.There are number of initiatives working on indicators and frameworks for sustainable development (SD). This article provides an overview various sustainability indices applied in policy practice. The paper also compiles the information related to sustainability indices formulation strategy, scaling, normalisation, weighting and aggregation methodology.     

Sustainable development of global supply chains—part 1: sustainability optimization framework

In global industry supply chains, environmental sustainability optimization addresses the overall consumption of resources and energy, the reduction of carbon emissions and generated waste to name a few. In this paper, we propose a holistic sustainability optimization framework for strategic network design of industry supply chains under consideration of economic, social as well as ecologic objectives. The framework is flexible to incorporate multiple sustainability indicators, alternative sustainability optimization strategies as well as a variety of internal and external industry-specific factors which impact the sustainability of the entire industry supply chain in the long-term. The core of the framework is an end-to-end closed-loop value chain model consisting of process, transport and product-in-use modules. For the first time, the product-in-use impact (“use” vs. “make”) is integrated in one network design approach. In addition, the model fully closes the loop from sourcing of raw materials via manufacturing towards reverse value chain steps such as disposal and recycling. Finally, we propose the minimize-time-to-sustainability approach as new optimization strategy for long-term network design problems focusing on minimizing the time, industry supply chain structures need to transform into sustainability steady states for all defined sustainability indicators such as CO₂e emissions, costs or social indicators based on defined target values. In part 2 of this paper the application of the optimization framework to the European automotive industry is shown.     

Benchmarking sustainability using indicators: An Indian case study

This paper develops an index to measure sustainability based on the broad themes of social, economy and environment. Nineteen appropriate indicators were selected based on relevance, data availability, and periodicity for each leg of sustainable development. A correlation analysis was carried out to assess relationships between the 19 indicators representing different parameters under the three themes. These parameters were then normalized using Z-score technique. The Z-scores computed for each of these parameters were then used to develop a Sustainable Development Index (SDI). The index is pilot tested on different States and Union Territories (UTs) of India. The values are compared and interpreted to adjudge the forerunners and laggards on the various dimensions of human well-being and environment. Significant relationships have been observed between income levels and area of administrative regions with sustainability indices of the regions. Smaller administrative regions with higher income levels have been observed with higher sustainability scores. The proposed index provides a useful measure of identifying problematic areas that can be plugged through policy measures and ensures that the region moves on sustainable development pathways.     

Tourism sustainability in Tibet – Forward planning using a systems approach

The purpose of this study is to employ a nonlinear dynamic evaluation method to assess the tourism sustainability of Tibet Autonomous Region (TAR), China, a new emerging tourism destination. The methodology draws on system dynamics and Back Propagation (BP) neural network. According to 7 setting principles, this study identifies 13 tourism sustainability indicators including conventional tourism income, tourism resources stock, pollution stock, etc., as well as specific residents’ tourism cognition, seasonal difference, accessibility, etc. Then a system dynamics model including the 13 indicators (variables) and other relevant auxiliary variables is established. Based on the numerical simulation, using a three layers BP neural network optimized by genetic algorithm and particle swarm algorithm, this study evaluates the future sustainability dynamically and compares the sustainability evolution from 2014 to 2050 under different development strategies. The research results not only provide information useful for the dynamic control and scientific management of the future sustainable tourism development, but also provide a systems approach to evaluate regional tourism sustainability.