Assessing the quality of service to customers provided by water utilities: A synthetic index approach

Currently, water and sewer companies face the challenge of improving their quality of service to customers (QSC). Performance indicators are essential to monitor and benchmark the QSC of water companies; however, individual indicators do not provide a holistic evaluation of the quality of water and sewer services provided to customers. This study proposes an innovative QSC index based on distance-function techniques that makes it possible to compare changes in the QSC of water companies among locations and temporal periods. A case study assesses changes in QSC for a sample of Chilean water and sewer companies from 2007 to 2014. The results show that in spite of the efforts made by the water regulator, QSC has remained almost constant over a number of years, with 2010 having the best performance. The methodology proposed in this study is useful for water regulators to benchmark water companies when developing policies that prompt QSC improvements.     

Improving the objectivity of sustainability indices by a novel approach for combining contrasting effects: Happy Planet Index revisited

Measuring complex and rather intuitive qualities such as sustainability requires combining many different measures together. These measures often quantify contrasting effects. The resulting composite index then also depends not only on the component indices but also on the way that these have been combined together. An example of such a measure is the Happy Planet Index (HPI) that aggregates information on positive qualities like life-expectancy and human well-being with negative ones like ecological footprint to rank countries according to their sustainability. However, since component indices are often mutually correlated and feature quite different distributions of entities ranked, elaborate rules are used in the process of combination. As a result, the resulting composite index may look somewhat contrived and its rankings may depend heavily on subjective parameters in the combination process. We propose a geometrically motivated parameter-free method for combining indices with contrasting effects together. The method is independent of the number of contrasting indices to be combined and eliminates mutual correlation between component indices by using Singular Value Decomposition (SVD) analysis. As an example of its use, we revisit the Happy Planet Index and demonstrate the impact of adding new component indices to HPI on ranking nations by their sustainability.     

The method matters: A guide for indicator aggregation in ecological assessments

Ecological assessment requires the integration of many physical, chemical, and/or biological quality elements. The choice of the aggregation method of such partial assessments into an overall assessment can considerably affect the assessment outcome – an issue that has been controversially discussed within the scientific community for the last decade. Current practice often considers only two different aggregation methods, the weighted arithmetic mean (additive aggregation) and the one-out, all-out method (minimum aggregation). However, both have important drawbacks. Additive aggregation compensates a bad status of one quality element by a number of elements featuring good status. Minimum aggregation can lead to overly pessimistic assessment results, since only the quality element in the worst status is considered. Here, we introduce a toolbox containing current and new aggregation methods, demonstrate and discuss their properties with simple, didactical examples, and suggest in which situations best to use them. Then, we illustrate the consequences of selected aggregation schemes for ecological river assessment with the case study of the Swiss Modular Concept of stream assessment (SMC), which we apply to ten river reaches in the Mönchaltdorfer Aa catchment in Switzerland. To be able to do so, we used multi-criteria decision analysis, i.e., multi-attribute value theory, to arrange the SMC quality elements into an objectives hierarchy, and to translate their individual assessments into value functions. Our case study revealed that choosing the most appropriate aggregation method particularly matters, if objectives with significantly different qualities are aggregated. We argue that redundant objectives (i.e., quality elements), often found at the lower levels of the objectives hierarchy, should best be aggregated additively allowing for compensation to increase the statistical significance of the results. Further, we suggest that complementary sub-objectives that often occur at higher levels may be optimally aggregated with a mixture of additive and minimum aggregation. Such a mixed method will allow some compensation, but nevertheless penalize for very bad states. Since here we compare commonly used aggregation methods with some which we believe have never been discussed in an assessment context before, our study concurrently informs ecological assessment in theory and in practice.     

Weighting indicators of tourism sustainability: A critical note

Indicator weighting is an important issue in the measurement of tourism sustainability. Its importance derives from the fact that weights can have a significant effect on the rankings of analysed regions and subsequent policymaking. This is because relative indicator weights may significantly differ depending on the chosen weighting procedure. Relevant studies have however not paid particular attention to this issue so far, which is a gap this note aims to fill. An illustrative comparison of indicator weights from available studies further indicates potentially serious problems with some commonly used weighting procedures.     

The sustainable neighborhoods for happiness (SNfH) decision tool: Assessing neighborhood level sustainability and happiness

The relationship between sustainability and happiness is an intriguing and growing research area (Cloutier et al., 2013; Montgomery, 2013; Florida et al., 2013; Leyden et al., 2011). However, a review of primary literature and research indicates a missing gap in neighborhood level assessments of sustainability and happiness. The Sustainable Neighborhoods for Happiness Index (SNHI) was developed using city level data and studies (Cloutier et al., 2014), but was created with the intent of serving as a neighborhood measure. Within this paper, we detail the development of the Sustainable Neighborhoods for Happiness (SNfH) Decision Tool – a neighborhood level assessment tool, derived from the SNHI, to assist in decisions around future strategies for sustainable community development. While several sustainability decision tools exist, there is a need for those that are easily understood and accessible to neighborhood stakeholders (e.g., residents, community leaders, city employees). The SNfH Decision Tool was created with a user-friendly graphical front-end and embedded back-end calculations to inform users. The goal is to help neighborhood stakeholders identify the needs of their community to swiftly take action to alleviate issues and promote a sustainable and happy future.     

Welcoming uncertainty: A probabilistic approach to measure sustainability

Current efforts to build Sustainable Development Measurements have stumbled with problems of arbitrary structure, valuation,artificial ignorance suppression, and democratic illegitimacy. This paper proposes a new method to track and compare the Sustainable Development (SD) of countries, building an Interval of Sustainable Development (ISD). The ISD is capable of overcoming these problems by reporting all possible structures instead of only one, by relying on a variety of existing economic, social, and environmental variables, by embodying confidence levels in the measurement itself, and by facilitating democratic deliberation. By doing this, the ISD is capable of showing, subject to a confidence level, how a country is performing with respect to SD. This paper also applies this method specifying parameters and using available data for 180 countries during 1990–2011. During this 22-year period, results for a selection of countries are presented to illustrate the advantages and limitations of this proposal.     

Sustainability indicator systems within urban governance: Usability analysis of sustainability indicator systems as boundary objects

While sustainability indicator systems (SIs) have proven to be valuable rational tools for improving the availability of information related to the relationship of cities and communities to natural limits, the indicators movement has achieved limited instrumental uptake in policy. This paper begins from a recognition that instrumental use of sustainability indicator systems is rare. Greater potential impact exists for SIs designed to be much more attentive to their conceptual and political values within their particular social and political context. In other words, greater attention to what has been called the governance of indicator systems, or the ways in which SIs fit as policy tools within a multilevel and multiactor governance context, is key to increasing their utility. This is particularly true given the need for decisive policy change, or even the introduction of a new development path, which is asserted within the sustainability agenda.Understanding the real and potential utility of indicator systems within multiactor governance processes, in which their roles are primarily rhetorical, conceptual and political, is facilitated by thinking about indicator systems as boundary objects, tools which open up dialogue, information sharing, learning and consensus-building across different policy boundaries: between experts and nonexperts, formal government and different nongovernment actors, higher-order governments and lower-order governments. This paper offers a comparative analysis of three sustainability indicator systems in the North American context – Vancouver's Vital Signs (Vancouver Foundation), Seattle's Happiness Initiative, and LEED-ND (US Green Building Council) – all of which have shown some success in operationalizing a new policy boundary as a means of making conceptual and political contributions to governance practices. The specific boundaries operationalized, the different approach taken by each project, and the usability demonstrated by each project at that boundary in terms of salience, legitimacy and credibility, are assessed comparatively. In general, the trajectory in design and use of ecological and sustainability indicators demonstrates an increase in appetite, aptitude and numbers of channels for use in processes of governance; however, these factors vary with the local social–political opportunity structure. This analysis presents the advances made as well as the tradeoffs evident in these cases across the gamut of different forms of usability of nongovernmental indicator systems designed for use as boundary objects, and suggests a path forward for indicator work which aims to change policy, from a governance perspective.     

Assessment of land use changes through an indicator-based approach: A case study from the Lamone river basin in Northern Italy

This study has been performed in order to evaluate the land use changes and related environmental impacts which occurred in recent decades in the Lamone river basin (Northern Italian Apennines). Using the DPSIR indicator-based approach, agricultural land use changes and conversions occurred within the periods 1976–1994 and 1994–2003, have been associated with the shortage of water in the river and the modification of the landscape structure. Results show that Lamone river basin in 1976 was mainly dominated by forest (27.4%) and cropland (32.3%) and through the entire period the valley presented a strong persistence of land uses and the main conversions detected are afforestation and agricultural intensification. The hydrological balance analysis results indicate that the agricultural intensification process produced a water deficit in summer periods equal to 0.89 mln m³ in 2003. The landscape of the Lamone valley became more homogeneous, showing a decrease in diversity (Shannon Diversity Index values decreased from 1.81 to 1.58) and the riparian corridor became more human-dominated (Human Habitat values increased from 0.61 to 0.77). An integrated assessment of possible management options has been conducted, using the MULINO-DSS software as a support. Thirteen different management scenarios have been produced in order to solve the water balance issue and to enhance the riparian corridor. Attributing equal weight to the environmental, social and economical criteria, the best solution corresponds to the sole creation of artificial basins and the actual situation is placed at position 8 (out of 13).     

Implementing a composite indicator approach for prioritizing activated sludge-based wastewater treatment plants at large spatial scale

Successful implementation of the European Urban Wastewater Treatment Directive requires a deepened and multidisciplinary knowledge of the wastewater systems. The development of ready-to-use tools for decision makers is, in this sense, a challenge. This paper proposes a methodology to efficiently prioritize wastewater treatment plants (WWTPs) on the basis of the relative environmental, social and public health impacts, taking into account the territorial context issues. The proposed methodology has led to the implementation of a composite indicator. The several choices made for its development, from the definition of framework to the final outcomes, have been evaluated in depth and are supported through methodological and statistical techniques. The potential use of the composite indicator with the inherent advantages and limitations are discussed in order to provide a ready-to-use tool for final users for WWTPs prioritization. Moreover, a concise methodology for composite index implementation is described.     

Towards a dashboard of sustainability indicators for Panama: A participatory approach

The importance of pursuing sustainable modes of development has received increased global recognition in recent years. Since the issue was first addressed in the United Nations⿿ 1987 Brundtland Report, many countries have developed their own sustainability strategies. In Panama, a UNESCO Chair entitled Dialogues on Sustainability was created in 2011 by four scholarly institutions with the objective of advancing a sustainability agenda through education, research and discussion. In line with conclusions from the United Nations⿿ Agenda 21 action plan, the UNESCO Chair identified the creation of a set of national sustainability indicators as an important step toward this goal. This paper presents the work done by the Chair to develop a dashboard of national sustainability indicators for Panama. Indicators were selected using participatory methods, involving 42 individuals representing 16 different government agencies, NGOs, academic institutions, and private entities from Panama. Adhering to a three-pillar structure, the resulting dashboard of 20 indicators is shown to be a useful tool for understanding past trends, present issues, and future trajectories within Panama⿿s economic, environmental, and social spheres. As a further demonstration of the dashboard⿿s utility, this paper focuses on three example issues shown by the dashboard to be important: security, vehicles and vehicle emissions, and natural disasters. This paper also juxtaposes the Human Development Index and Ecological Footprint to compare Panama with other Latin American countries.     

Emergy evaluation of the impact of waste exchanges on the sustainability of industrial systems

Emergy evaluation provided global performance indicators that were used to assess the impact of waste exchanges on the sustainability of a sulfuric acid production system (SAPS) and a titanium dioxide production system (TDPS) in Pan-zhi-hua City, China. Impact of emissions was quantified in terms of emergy and integrated into the classic emergy-based indicators. Results show that waste exchanges improve the sustainability of the two systems, although the SAPS benefits more from the waste exchanges than the TDPS from an economic perspective however, the impact of emissions reduces their sustainability to some degree. This study creates awareness and brings new insight to the gains achieved with resource recovery from waste in the interrelated industrial systems, which is derived from the mutualism relationship existing in natural ecosystems. Finally, this paper puts forward some corresponding suggestions.     

Development of an epiphyte indicator of nutrient enrichment: A critical evaluation of observational and experimental studies

An extensive review of the literature describing epiphytes on submerged aquatic vegetation (SAV), especially seagrasses, was conducted in order to evaluate the evidence for response of epiphyte metrics to increased nutrients. Evidence from field observational studies, together with laboratory and field mesocosm experiments, was assembled from the literature and evaluated for a hypothesized positive response to nutrient addition. There was general consistency in the results to confirm that elevated nutrients tended to increase the load of epiphytes on the surface of SAV, in the absence of other limiting factors. In spite of multiple sources of uncontrolled variation, positive relationships of epiphyte load to nutrient concentration or load (either nitrogen or phosphorus) often were observed along strong anthropogenic or natural nutrient gradients in coastal regions. Such response patterns may only be evident for parts of the year. Results from both mesocosm and field experiments also generally support the increase of epiphytes with increased nutrients, although outcomes from field experiments tended to be more variable. Relatively few studies with nutrient addition in mesocosms have been done with tropical or subtropical species, and more such controlled experiments would be helpful. Experimental duration influenced results, with more positive responses of epiphytes to nutrients at shorter durations in mesocosm experiments versus more positive responses at longer durations in field experiments. In the field, response of epiphyte biomass to nutrient additions was independent of climate zone. Mesograzer activity was a critical covariate for epiphyte response under experimental nutrient elevation, but the epiphyte response was highly dependent on factors such as grazer identity and density, as well as nutrient and ambient light levels. The balance of evidence suggests that epiphytes on SAV will be a useful indicator of persistent nutrient enhancement in many situations. Careful selection of appropriate temporal and spatial constraints for data collection, and concurrent evaluation of confounding factors will help increase the signal to noise ratio for this indicator.     

Assessing sustainability at farm-level: Lessons learned from a comparison of tools in practice

In the past decades a wide variety of tools have been developed to assess the sustainability performance of farms. Although multiple studies have compared tools on a theoretical basis, little attention has been paid to the comparing tools in practice. This research compared indicator-based sustainability assessment tools to gain insight in practical requirements, procedures and complexity involved in applying sustainability assessment tools. In addition, the relevance of the tools, as perceived by farmers, was evaluated. An overview of 48 indicator-based sustainability assessment tools was developed to, subsequently, select tools that address the environmental, social and economic dimension of sustainability, are issued in a scientific publication and suitable for assessing the sustainability performance of livestock and arable farms in Denmark. Only four tools (RISE, SAFA, PG and IDEA) complied with the selection criteria and were used to assess the sustainability performance of five Danish farms. The tools vary widely in their scoring and aggregation method, time requirement and data input. The farmers perceived RISE as the most relevant tool to gain insight in the sustainability performance of their farm. The findings emphasize the importance of context specificity, user-friendliness, complexity of the tool, language use, and a match between value judgements of tool developers and farmers. Even though RISE was considered as the most relevant tool, the farmers expressed a hesitation to apply the outcomes of the four tools in their decision making and management. Furthermore, they identified limitations in their options to improve their sustainability performance. Additional efforts are needed to support farmers in using the outcomes in their decision making. The outcomes of sustainability assessment tools should therefore be considered as a starting point for discussion, reflection and learning.     

Selecting the best forest management alternative by aggregating ecosystem services indicators over time: A case study in central Spain

Sustainable forest management has been approached on many occasions by defining and subsequently measuring a set of initially accepted indicators. This methodology permits the aggregation of multiple goods and services with heterogeneous characteristics into forest management. However, the calculation of these indicators has usually been static. When we find ourselves in situations in which there is a need to make long-term evaluations of the effects of possible scenarios affecting forest management, a procedure has to be set up to define and aggregate the different indicators over time, as well as to integrate the preferences of the stakeholders involved in management.This study shows a goal programming-based methodology, which permits to select the best management alternative in 6 climate change scenarios when different indicators are aggregated over 100 years in a mountain forest in Central Spain. The results revealed the predominance of one management alternative (no management) when the preferences of the stakeholders were aggregated. However, when the preferential weights corresponding to some stakeholders were included separately, the solution may notably vary, especially in the case of forest owners. It was concluded that the methodology proposed allows a dynamic aggregation of diverse sustainable forest management in addition to presenting a great flexibility at the moment of selecting various solutions proposed by the goal programming model, and the preferences of the different stakeholders.     

Development of an epiphyte indicator of nutrient enrichment: Threshold values for seagrass epiphyte load

Metrics of epiphyte load on macrophytes were evaluated for use as quantitative biological indicators for nutrient impacts in estuarine waters, based on review and analysis of the literature on epiphytes and macrophytes, primarily seagrasses, but including some brackish and freshwater rooted macrophyte species. An approach is presented that empirically derives threshold epiphyte loads which are likely to cause specified levels of decrease in macrophyte response metrics such as biomass, shoot density, percent cover, production and growth. Data from 36 studies of 10 macrophyte species were pooled to derive relationships between epiphyte load and −25 and −50% seagrass response levels, which are proposed as the primary basis for establishment of critical threshold values. Given multiple sources of variability in the response data, threshold ranges based on the range of values falling between the median and the 75th quantiles of observations at a given seagrass response level are proposed rather than single, critical point values. Four epiphyte load threshold categories − low, moderate, high, very high, are proposed. Comparison of values of epiphyte loads associated with 25 and 50% reductions in light to macrophytes suggest that the threshold ranges are realistic both in terms of the principle mechanism of impact to macrophytes and in terms of the magnitude of resultant impacts expressed by the macrophytes. Some variability in response levels was observed among climate regions, and additional data collected with a standardized approach could help in the development of regionalized threshold ranges for the epiphyte load indicator.     

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.     

青藏高原国家公园群游憩可持续性管理评估指标体系

建立游憩可持续性管理评估指标体系,对于引导青藏高原国家公园群科学规划与建设、推行游憩可持续性管理、规范市场主体和访客的行为、保护当地重要而脆弱的生态环境极为重要.本研究在对国家公园群潜在建设区科学考察的基础上,以需求为导向,分析国家公园群对游憩可持续性管理评估指标的需求;以全球共识为导向,分析《全球可持续旅游目的 地标...     

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.     

Model-based Conservation Decision Aiding in the Presence of Goal Conflicts and Uncertainty

Goal conflicts and uncertainty are two major problems in decision-making for conservation and species protection. Conflicts can often be found between ecological goals on the one hand and socio-economic goals on the other, but also among different ecological goals. They can be formally analysed by methods of multi-criteria analysis. As the solution of a multi-criteria decision problem usually depends on the weights put on the individual criteria (objectives), sensitivity and robustness analyses are necessary to understand the decision problem, concentrate on the essential aspects, and support actual decision processes fully. Uncertainty in the decision problem is often caused by scarcity of information needed to predict the consequences of management actions. The so-called outranking concept proved very useful in the consideration of such uncertainty. Based on a simple fictitious case study the paper demonstrates how multi-criteria decision analysis (in particular the PROMETHEE outranking method) in combination with population model analysis can assist in conservation biological decision-making.