Healthcare Building Sustainability Assessment tool - Sustainable Effective Design criteria in the Portuguese context

Tools and methods to improve current practices and quality in the healthcare building sector are necessary to support decision-making at different building life cycle phases. Furthermore, Healthcare Building Sustainability Assessment (HBSA) Methods are based on criteria organised into different levels, such as categories and indicators. These criteria highlight aspects of significant importance when designing and operating a sustainable healthcare building. To bring more objectivity to the sustainability assessments, the standardisation bodies (CEN and ISO) proposed core indicators that should be used in the evaluation of the environmental, societal and economic performances of buildings. Nevertheless, relying on state of the art analysis, it is possible to conclude that there are aspects of major importance for the operation of healthcare buildings that are not considered in the HBSA methods.Thus, the aim of this paper is to discuss the context of sustainability assessment methods in the field of healthcare buildings and to present a proposal for the incorporation of Sustainable-Effective Design (SED) criteria in a new HBSA method. The used research method is innovative since in the development of the list of sustainability criteria it considers the opinion of main healthcare buildings' stakeholders, the existing healthcare assessment methods and the ISO and CEN standardisation works in the field of the methods to assess the sustainability of construction works. As a result, the proposed method is composed of fifty-two sustainability indicators that cover the different dimensions of the sustainability concept to support decision making during the design of a new or retrofitted healthcare building in urban areas.     

Software for Sustainability Assessment: a Case Study in Quang Tri Province,Vietnam

Sustainable development is a widespread concept. Indicator selection and sustainability assessment are basic methods to analyse the sustainable development process. This study aims to develop a software application to select indicators and to allocate weightings to the indicators and the sub-indexes, so that they can be listed in a sustainability assessment. The Visual Basic software is used to develop a software package based on Delphi, analytic hierarchy, normalization and combination processes. Software for sustainability assessment was developed. Thirty-five indicators are selected as a first step of which eight health indicators and eight environmental ones and their sub-indexes are given weightings. The indicators are normalized. Sub-indexes are combined into a composite sustainable development index. The model is validated showing the ‘main features’ of the sustainability situation on health and environmental aspects in the Quang Tri province during the period 2000–2005. The results support the decision-making process of the competent authorities.     

Sustainability assessment framework for scenarios – SAFS

To address current challenges regarding sustainable development and support planning for this form of development, new learning about different possible futures and their potential sustainability implications is needed. One way of facilitating this learning is by combining the futures studies and sustainability assessment (SA) research fields.This paper presents the sustainability assessment framework for scenarios (SAFS), a method developed for assessing the environmental and social risks and opportunities of future scenarios, provides guidelines for its application and demonstrates how the framework can be applied. SAFS suggests assessing environmental and social aspects using a consumption perspective and a life cycle approach, and provides qualitative results. SAFS does not suggest any modelling using precise data, but instead offers guidelines on how to carry out a qualitative assessment, where both the process of assessing and the outcome of the assessment are valuable and can be used as a basis for discussion.The benefits, drawbacks and potential challenges of applying SAFS are also discussed in the paper. SAFS uses systems thinking looking at future societies as a whole, considering both environmental and social consequences. This encourages researchers and decision-makers to consider the whole picture, and not just individual elements, when considering different futures.     

The application of strategic environmental assessment in a non-mandatory context: Regional transport planning in New Zealand

There is no legal mandate for strategic environmental assessment (SEA) in New Zealand. However, a requirement to consider environmental and sustainability issues is a key feature of many statutes, including that relating to regional transport planning. Given this, the research sought to determine whether SEA could be used to improve the incorporation of environmental and sustainability aspects into the regional transport planning process in New Zealand. Existing practice was evaluated, examining what factors currently limiting the consideration of environmental and sustainability issues and to what extent elements of SEA are currently being used. The research culminated in the development of a conceptual model where SEA elements could be incorporated into the existing framework to promote improved consideration of environmental and sustainability issues. The results provide some reassurance about the value of SEA even where its application is not legally mandated. However, it also highlighted some ongoing issues around the integration of SEA in existing frameworks and around the scope of SEA as a decision-aiding tool.     

An integrated environmental and health performance quantification model for pre-occupancy phase of buildings in China

To comprehensively pre-evaluate the damages to both the environment and human health due to construction activities in China, this paper presents an integrated building environmental and health performance (EHP) assessment model based on the Building Environmental Performance Analysis System (BEPAS) and the Building Health Impact Analysis System (BHIAS) models and offers a new inventory data estimation method. The new model follows the life cycle assessment (LCA) framework and the inventory analysis step involves bill of quantity (BOQ) data collection, consumption data formation, and environmental profile transformation. The consumption data are derived from engineering drawings and quotas to conduct the assessment before construction for pre-evaluation. The new model classifies building impacts into three safeguard areas: ecosystems, natural resources and human health. Thus, this model considers environmental impacts as well as damage to human wellbeing. The monetization approach, distance-to-target method and panel method are considered as optional weighting approaches. Finally, nine residential buildings of different structural types are taken as case studies to test the operability of the integrated model through application. The results indicate that the new model can effectively pre-evaluate building EHP and the structure type significantly affects the performance of residential buildings.     

Developing an automated BIM-based life cycle assessment approach for modularly designed high-rise buildings

Modular construction has attracted increasing attention due to its energy and environmental benefits. Digital technologies such as building information modelling (BIM) have also been explored to generate and manage data through the lifecycle of buildings. Although research has been performed in the area of integrating BIM and modular construction, BIM-based automated lifecycle assessment (LCA) of prefabricated buildings remains unexplored. This study therefore aims to develop a BIM-based LCA method for prefabricated buildings incorporating different assessment levels with unique system boundaries and functional units. The developed approach can support automated assessments through all lifecycle phases of a prefabricated building. It is achieved through an automated process of creating parameters to merge LCA data into the building model, systematic zoning, model setup and impact estimation. This approach is applied to evaluate the energy and environmental performances of a case building in Hong Kong. The case study validated the efficiency of the developed BIM-based LCA method in providing a systematic and detailed assessment of modularly designed buildings. This study extends the knowledge in automated BIM-based LCA by addressing specific characteristics of prefabrication and promotes the incorporation of comprehensive and detailed LCA data into BIM models for improved design robustness and holistic performances of buildings. This validated approach will enhance the willingness of designers to apply LCA during the design stages for minimizing the energy and environmental impacts of both new and renovated buildings with prefabrication.     

Strategic environmental assessment for sustainability: A review of a decade of academic research

This paper examines the strategic environmental assessment (SEA)–sustainability relationship over the past decade, from 2000 to 2010, focusing in particular on the incorporation of sustainability in SEA. A total of 86 papers from the academic literature containing the terms ‘sustainability’ or ‘sustainable development’ and ‘strategic environmental assessment’ were identified and reviewed. Several common themes emerged by which SEA can support sustainability, including providing a framework to support decision making for sustainability; setting sustainability objectives, ensuring the consideration of ‘more sustainable’ alternatives, and integrating sustainability criteria in PPP development; and promoting sustainability outcomes through tiering and institutional learning. At the same time, our review identified many underlying barriers that challenge SEA for sustainability, including the variable interpretations of the scope of sustainability in SEA; the limited use of assessment criteria directly linked to sustainability objectives; and challenges for decision-makers in operationalizing sustainability in SEA and adapting PPP development decision-making processes to include sustainability issues. To advance SEA for sustainability there is a need to better define the scope of sustainability in SEA; clarify how to operationalize the different approaches to sustainability in SEA, as opposed to simply describing those approaches; provide guidance on how to operationalize broad sustainability goals through assessment criteria in SEA; and understand better how to facilitate institutional learning regarding sustainability through SEA application.     

A clustering approach for classifying universities in a world sustainability ranking

Sustainability indicators are increasingly recognized as a useful tool to provide policy information in support of environmental, economic or social improvement. Various approaches to sustainability have also been adopted in universities through the introduction of specific rankings. International rankings are an important communication tool that allows the comparison of universities according to combinations of different appropriately weighed parameters. The GreenMetric World University Ranking is the only worldwide ranking of universities that compares environmental sustainability across various campuses. It uses indicators involving education, research and the environment to evaluate the measures undertaken by universities to develop ecological infrastructures and stimulate improvement. The aim of this work is to analyze the individual indicators and categories used in the GreenMetric ranking in detail to verify whether they are, in fact, useful in assessing the sustainability of universities. Through the implementation of the cluster analysis, based on a selection of identified variables, all campuses were classified in homogeneous groups. The results identify four levels of sustainability and show a strong relationship between the rankings of the different categories (setting and infrastructure, energy and climate change, transportation, waste and water conservation and recycling) and specific aspects for assessing institutional policies. These results are useful information to guide universities in the research of key issues on where to invest time and resources to improve the sustainability of their structures and, therefore, their attractiveness.     

An investigation of environmental and sustainability discourses associated with the substantive purposes of environmental assessment

This paper investigates the discursive construction of the substantive purposes of environmental assessment (EA). It addresses these purposes by exploring the complex and often multifaceted linkages between political factors and plural views of democracy, public participation, and the role of science that are embedded in environmental and sustainability discourses. The interaction between policy-making and public actors leads to the formulation of divergent and potentially competing rationales for public participation, and for social appraisal more generally. Participatory approaches have also given impetus to the development of several interpretations on the role of science in assessment procedures. Science is important in mediating public participation and the two are therefore reciprocally linked. This leads to discourses that become manifest in the construction of substantive purposes. Discourse analysis in EA is a relevant method for examining trends and patterns in sustainable development. It is argued that public participation is an important, if not decisive, variable in the articulation and civil legitimacy of certain purposes. A general proposition that results from this paper is that EA, although typically presented as an objective scientific tool, is an intrinsically normative process. Enhanced knowledge on the construction, and reconstruction over time, of substantive purposes is required if environmental and sustainability discourses are to be used and understood as meaningful analytical instruments to assess the socio-political implications of EA.     

A more comprehensive and quantitative approach to corporate sustainability

This study proposes a new quantitative methodology and extendable framework to assess corporate sustainability more comprehensively and to capture interrelationships across the multiple domains of sustainability. A case study from the mining industry is presented to demonstrate the application of this new approach and its ability to extract meaningful insights regarding the company's progress towards sustainability. The comprehensive sustainability target method (CSTM) is a novel extension to an existing environmental burden sustainability assessment technique with additional focus on impacts within and across the societal and social justice domain. CSTM extends sustainability assessment recognizing planetary limits from human activity and relevant societal and community-based targets by formalizing assessment to include social and environmental beneficial impacts, as well as the interdependencies between the economic, environmental and societal domains. Outcomes from the mining industry case study reveal new insights into the sustainability of corporate operations as the comprehensive assessment framework provides a deeper and more extensive evaluation as compared to traditional sustainability assessments and corporate disclosures. In addition to maximal earth carrying capacity estimates for environmental burden targets, this study proposes that companies should assess sustainability for minimal limits applying to social beneficial impacts and maximal limits for social burden impacts. The overall theoretical construct and framework are presented to illustrate the robustness and extendibility of the technique to broadly incorporate various sustainability domains, assessment boundaries, and temporal considerations.     

The changes of densities and patterns of roads and rural buildings: a case study on Dongzhi Yuan of the Loess Plateau, China

Roads and buildings are considered as primary causes of rural landscape changes. In this study, linear regression models were used to analyze the dynamic influences of environmental factors and variables on roads and rural buildings from 1979 to 2005 in Dongzhi Yuan (tableland) of the Loess Plateau, China. The relationship between roads and rural buildings and their effects on Dongzhi Yuan are discussed also. The results showed that three environmental factors (topography, land cover, and development level) explained roads better than rural buildings referring densities and patterns. The environmental variables significantly related to roads have decreased, whereas those related to rural buildings have increased over time. Among these significant variables, percent of farmland mostly determined the densities and patterns of both roads and rural buildings. There was significant correlation between roads and rural buildings in terms of density and pattern. In addition, roads and rural buildings have increased greatly in gully areas of this region. Therefore, more attention should be paid to planning of roads and rural buildings in Dongzhi Yuan.     

Forest Conservation and CO<Subscript>2</Subscript> Emissions: A Viable Approach

We adopt viability theory to assess the sustainability of the world’s forests while taking into account some of the competing economic, social, and environmental uses of these forests, namely, timber production, poverty alleviation through agriculture, and air quality as well as the negative externalities that these uses create. We provide insights on the different trade-offs faced to achieve sustainability and draw some policy implications as to what is the path leading to sustainability in the long run.     

Sustainability principles in strategic environmental assessment: A framework for analysis and examples from Italian urban planning

This paper presents a framework for analysing the degree of consideration of sustainability principles in Strategic environmental assessment (SEA), and demonstrates its application to a sample of SEA of Italian urban plans. The framework is based on Gibson's (2006) sustainability principles, which are linked to a number of guidance criteria and eventually to review questions, resulting from an extensive literature review. A total of 71 questions are included in the framework, which gives particular emphasis to key concepts, such as intragenerational and intergenerational equity. The framework was applied to review the Environmental Report of the urban plans of 15 major Italian cities. The results of this review show that, even if sustainability is commonly considered as a pivotal concept, there is still work to be done in order to effectively integrate sustainability principles into SEA. In particular, most of the attention is given to mitigation and compensation measures, rather than to actual attempts to propose more sustainable planning decisions in the first place. Concerning the proposed framework of analysis, further research is required to clarify equity concerns and particularly to identify suitable indicators for operationalizing the concepts of intra/inter-generational equity in decision-making.     

Integrated Assessment Modeling for Global Climate Change: An Infinite Horizon Optimization Viewpoint

In this paper one uses an infinite time horizon optimal control paradigm to deal with three important issues in global climate change integrated assessment, namely the equitable treatment of all the generations involved, the representation of technical progress, and the uncertainty concerning technological progress and climate change processes. The notion of economic sustainability is associated with the concept of turnpike in infinite horizon optimization models. The issue of deciding on the proper discount rate is addressed in this context and a method is proposed to reconcile long term sustainability and short term time preference for current generations. One also formulates a model where environmental damage and/or technical progress are represented as stochastic jump processes. One calls this random evolution a mode switching process. In this context, sustainability is represented by a family of turnpikes, and the economy will be driven from one steady state to the other as the modes switch. These concepts are illustrated on the DICE model and their possible implementation in other types of integrated assessment models is discussed.     

Assessment of urban sustainability efficiency based on general data envelopment analysis: a case study of two cities in western and eastern China

Sustainable urban development focuses on enhancing urban well-being, while also balancing the demands of urban social and economic development, natural resource consumption, and environmental pollution. This work used general data envelopment analysis to assess the urban sustainability efficiency (USE) and sustainability potential (SP) in Lanzhou and Xiamen, two cities that are characteristic of urban areas in western and eastern China. The assessment indicator system included important natural and urban welfare factors as input and output indices, respectively. The results showed that overall urban sustainability efficiency increased in Lanzhou and Xiamen from 1985 to 2010, but that the sustainability of natural resources clearly decreased. The urban sustainability efficiency of Xiamen was higher than that of Lanzhou, and the sustainability potential of Xiamen was lower than that of Lanzhou; this indicates that Xiamen performed better in terms of urban sustainable development. The urban sustainability efficiency in Xiamen has increased with increasing urban population, and the rate and scale of economic development have been higher than in Lanzhou. The assessment and analysis performed in this study show that cities with different natural resources and development characteristics have different forms, patterns, and trajectories of sustainable development.     

Environmental sustainability of textiles and apparel: A review of evaluation methods

Environmental sustainability, which considers the tradeoff between economic productivity and environmental impact, is an important perspective in product decisions for textiles and apparel companies. Evaluating environmental sustainability for textile products has been difficult because of the complexity in the production and consumption processes. This paper provides a review of the methods that can be potentially used for measurement of environmental sustainability. These methods include the life cycle assessment, environmental footprint, eco-efficiency and Higg index. This paper reviewed the methodologies of these approaches and discussed about their limitations against the unique context of the textiles and apparel industry. We proposed a couple of directions where future research should be focused on, which may lead to ultimate solutions.     

Assessment of Wildfire Hazards with a Semiparametric Spatial Approach

Rural households in agricultural economies are vulnerable to several environmental risks such as fires, floods, and droughts that may affect their productivity in whole or in part. These hazards are especially relevant in developing countries where farmers have few or no access to traditional risk-transfer techniques, such as insurance and finance, and where low governmental investments in rural infrastructure, risk assessment techniques, or early warning systems makes the aftermath of such hazards more expensive and results in slower recovery for those who are affected. In this paper, we use historical satellite data (Terra) of burned areas in South America to fit a semiparametric spatial model, based on kernel smoothing and on a nonlinear relationship between average time between events and damage, to assess the environmental hazard affecting the land’s productivity. The results were twofold: first, we were able to develop a spatial assessment of fire hazard, and second, we were able to evaluate how much a farmer may lose in terms of productivity per hectare due to the environmental hazard. The methodology may be easily adapted to other world regions; to different environmental hazards such as floods, windbreak, windthrow, or related land-use changes; or to integrate various environmental hazards simultaneously, as long as they can be monitored via remote sensing (e.g., satellite imagery, aerial photographs, etc).     

A multicriteria analytical framework for sustainability evaluation under methodological uncertainties

Multicriteria analysis is widely used to perform sustainability evaluation for purposes such as decision making or progress assessment following a chosen sustainable development concept. The stages of multicriteria analysis include indicator selection, data characterization, normalization, weighting, and aggregation. However, due to the various framings of sustainability, non-equivalent approaches could be adopted at each stage, introducing methodological uncertainty. Consequently, depending on the methods chosen, divergent and conflicting conclusions or decisions may result. This paper addresses the issue of methodological uncertainties in sustainability evaluation by analyzing how methodological uncertainties arise during multicriteria analysis, then proposing an analytical framework that employs uncertainty and sensitivity analyses to quantify and manage the effects of methodological uncertainties. The consideration of methodological uncertainties in the structure of multicriteria sustainability evaluation shifts the analysis from deterministic to probabilistic, which is advantageous to arrive at robust and homogenized sustainability conclusions or decisions.     

Comparative analysis of methods for integrating various environmental impacts as a single index in life cycle assessment

Previous studies have proposed several methods for integrating characterized environmental impacts as a single index in life cycle assessment. Each of them, however, may lead to different results. This study presents internal and external normalization methods, weighting factors proposed by panel methods, and a monetary valuation based on an endpoint life cycle impact assessment method as the integration methods. Furthermore, this study investigates the differences among the integration methods and identifies the causes of the differences through a case study in which five elementary school buildings were used. As a result, when using internal normalization with weighting factors, the weighting factors had a significant influence on the total environmental impacts whereas the normalization had little influence on the total environmental impacts. When using external normalization with weighting factors, the normalization had more significant influence on the total environmental impacts than weighing factors. Due to such differences, the ranking of the five buildings varied depending on the integration methods. The ranking calculated by the monetary valuation method was significantly different from that calculated by the normalization and weighting process. The results aid decision makers in understanding the differences among these integration methods, and, finally, help them select the method most appropriate for the goal at hand.     

Application of data envelopment analysis in environmental impact assessment of a coal washing plant: A new sustainable approach

The main problem of traditional methods of environmental impact assessment (EIA) is that in most of the existing algorithms and methods, such as Leopold, Folchi and RIAM, the main attention is to the destructive effects of the proposed plan, and the advantages of the industrial project are less noticeable. This has led to a permanent challenge between environmental organizations and industrial stakeholders. Data envelopment analysis (DEA) is a new approach of assessing the industrial units. Besides, it considers the positive economic and social impacts of the project and provides a comprehensive assessment of the industrial unit. With this approach, the environmental impacts of an industrial unit have been considered as “inputs” and its positive economic and social impacts considered as the “outputs” of the DEA models. Therefore, the problem of impact assessment changes into a DEA model. In the present study, the Alborz Sharghi Coal washing plant in northern Iran has been considered as a case study for implementing the DEA-EIA approach, and 19 plant activities and 11 environmental components have been used to evaluate the environmental effects of the plant. To solve the EIA problem, two commonly used DEA approaches, called CRS (constant returns to scale) and VRS (variable returns to scale), have been used. The DEA results identified the critical environmental components of the plant that should be considered seriously. Also, drawing the “potential improvement” diagram in the DEA method is an effective tool for determining the high risk activities of the factory and applying them in development plans. Besides, using the VRS model with maximize-output approach showed that some of the plant activities had the most differences with optimal mode and these components should be considered in future development plans. Finally, it can be concluded that, assessing the environmental impacts of the mineral industries with VRS maximize-output approach, is closer to the concept of sustainable development and cost-benefit analysis.