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The paper, which is based on an integrated approach that is able to aid the comprehension of complex phenomena, aims to investigate innovative models and tools in the field of sustainability assessment of territorial transformations. The model has been applied to a real case study related to the choice of alternative projects for the requalification of a downgraded urban area in Turin (Italy).

The work proposes the use of a comprehensive key environmental indicator framework and multi‐criteria analysis to evaluate the sustainability of different strategies. The evaluation has been performed through the application of the analytical network process (ANP) and by means of a set of indicators, which have been arranged according to the Driving Force‐Pressure‐State‐Impact‐Responses (DPSIR) framework. The assessment model provides priority lists of the importance of the considered indicators and alternatives. All the analysis elements are modelled with the ANP, taking into consideration the interconnections between the indicators and their respective cumulative importance.

According to the aim of the paper, the most important element in the performed analysis refers to the variation of the well‐being of the population, followed by the changes in the accessibility and attractiveness of the area, then by the effects on the real estate market and the presence of new cycle tracks.

The work is the first study at a national level and one of the first applications at an international level in research concerning the use of the DPSIR framework integrated with an ANP analysis.

This paper aims to build an improved grey panel clustering evaluation model and evaluate the comprehensive development potential of industrial economy, society and ecological environment in the Yangtze River Economic Belt of China. The purpose of this study is to provide some theoretical basis and tool support for management departments and relevant researchers engaged in industrial sustainable development.

This study uses the driving force pressure state impact response analysis framework to build a comprehensive evaluation index system. Based on the center point triangle whitening weight function, it classifies the panel grey clustering of improvement time and index weight.

The results show that there are great differences in the level of industrial ecological development in different regions of the Yangtze River Economic Belt, which further illustrates the scientificity and rationality of the evaluation method proposed in this paper.

Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. The improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.

Due to the industrial ecological development is in a constantly changing state, and the information is uncertain. Whitening weight function is introduced to represent the complete information of relevant data. The industrial ecological evaluation involves a comprehensive complex system, which belongs to the panel data analysis problem. In order to improve the effectiveness of industrial ecological evaluation, the improved grey panel clustering evaluation model is applied to grade the industrial ecological development level of the Yangtze River Economic Belt. The results have important guiding significance for the balanced development of industrial ecology in the region.

the new model proposed in this paper complements and improves the grey clustering analysis theory of panel data, that is, aiming at the subjective limitation of using time degree to determine time weight in panel grey clustering, a comprehensive theoretical method for determining time weight is creatively proposed. Combining the DPSIR (Driving force-Pressure-State-Influence-Response) model model with ecological development, a comprehensive evaluation model is constructed to make the evaluation results more authentic and comprehensive.

The purpose of this paper is to illustrate the emergence of a biological invasion and to explain the potential economic and social consequences on food chains. Straddling between ecology, social sciences, resource management and economics, invasion science is aimed at detecting, understanding and mitigating the impact of biological invasions on receiving ecosystems, including food ecosystems.

After a theoretical investigation about the main notions relevant for the invasion science, the authors practically review the kind of impacts deriving from biological invasions, mainly under economic, human health, ecosystem and biodiversity criteria.

The authors apply the DPSIR (Driving forces–pressure-state-impact-response) framework, originally developed in the context of European Environment Agency in this different context in order to assess the social, economic and environmental impacts of Invasive Alien Species (IAS). Responding to this emerging phenomenon, the European Union issues the EU regulation 1143/2014 which is the first strong act on invasive alien species.

Implications – Food chains are complex systems that have multiple interdependencies both endogenously and exogenously, such as food production, food transportation, food logistics, food distribution, and so forth. However, it is rarely conceived the impact of invasion systems on the dynamics of food chains, although food sustainability is in turn impacted by how effectively and efficiently the various interdependencies have been designed or are working.

The tannery industry impacts strongly on water bodies due to the presence of chemical substances, such as chlorides, sulphates, chromium and other pollutants. This study has been carried out with a view to enhance the environmental compatibility of the Arzignano tannery district (northern Italy) which is the largest in Italy, by improving the quality of the Fratta-Gorzone River. Sediment quality, according to the driving forces-pressure-state-impact-response (DPSIR) scheme, has been developed as a significant impact indicator to be applied at basin level. The purpose of this paper is to discuss the above issues.

Data were produced during institutional monitoring and control activities carried out by ARPAV (Veneto Region Environmental Prevention and Protection Agency) according to official methods. To define the environmental impacts on the river basin, a statistical assessment was performed on water and sediment quality data to establish the degree of correlation for the main pollutants along the river stem.

In the basin considered, sediment quality presents high levels of contamination from heavy metals – in particular chromium (Cr) (III) – as well as organic pollutants. Investigation of the pressure sources revealed that the discharge from the Arzignano tannery district is the main source of Cr (III), according to background studies performed in the same area.

The quality of river sediments must be improved in order to avoid the re-suspension/solubility of pollutants; dredged materials with high polluting substances must be managed with specific precautions in order to safeguard the environment.

The river studied is currently the only significant water body in which sediment monitoring has been performed in the Veneto Region (Italy) since 2002. This study presents issues linked to the characterization of river sediment and the correlation between sediment quality and water pollution and prior and current pressure sources.

The paper aims to analyse the social responsibility concept and to explore its role in the implementation process of the tourism sustainability concept. The intention is to explore the way in which the social responsibility concept is implemented in the tourism and analyse how it contributes to its sustainability.

In this interpretivist research, the authors implemented a qualitative strategy using the following methods: content, critical and comparative analyses of the results reported in available scientific studies, categorization, causal analysis and mental mapping. The authors identified 14 thematic categories of research on the tourism social responsibility. For the causal description, the authors used driving force, pressure, state, impact, response (DPSIR) method.

The results include identification of the categories of the research topics concerning tourism social responsibility as well as categories of the approaches to the implementation of the social responsibility into the practice of the tourism sector. The causal description of this implementation process is elaborated in the form of the DPSIR model. The created mental map shows the specific facets of the social responsibility concept applied to the diverse tourism subsectors.

The main contribution lies in basic overview of the conceptual (theoretical) and instrumental (practical) base for implementation of the social responsibility concept into the tourism, providing in this way a critical analysis of examples of the social responsibility practice in the key tourism subsectors. The examination of the causal analyses in the form of DPSIR model as well as employment of the content analyses in the form of mental map represent innovative approach to the tourism responsibility research.

Water protection is one of the primary objectives of the Water Framework Directive 2000/60/EC. The paper aims to identify suitable indices for water quality and specifically for water used for irrigation in the Fratta‐Gorzone river basin (Northern Italy) affected by discharges from the largest tannery district in Italy.

The DPSIR framework is proposed here for the development of a water quality monitoring and control system. A set of indices is applied as a comprehensive environmental management system in order to: assess the degree of achievement of water quality objectives; identify measures to be applied to pressure sources; verify the extent of application of local measures.

The highest values measured in the river Fratta‐Gorzone refer to the following parameters: chemical oxygen demand (COD), chlorides, sulphates, chromium, E. coli and, in some cases, other parameters. At basin level, the objectives set by the WFD and by local regulations must be achieved by applying appropriate discharge limit values. Water quality for irrigation use and the impact of the tannery district is critically presented and discussed according to available data, and refers to the monitoring project which was developed as a result.

The inflow from an irrigation channel, which conducts freshwater from the Adige river to the Fratta‐Gorzone river and empties just beyond the discharge point for effluent from the tannery district, favoured a general improvement in river water quality, as a result of dilution, particularly for irrigation purposes.

An environmental management system is outlined, with a proposal for a specific set of indices to be used as part of the monitoring and control activities for the integrated management of river basins, especially those affected by industrial tannery discharges.

Implementation of a sustainability paradigm demands new choices and innovative ways of thinking. The main objective of this paper is to provide a meaningful sustainability assessment tool for make informed decisions, which is applied to higher education institutions (HEIs).

The objective is achieved by developing a quantitative tool for sustainability assessment using a driving force‐pressure‐state‐exposure‐effect‐action (DPSEEA) framework. The DPSEEA framework considers environmental, social, economic, and educational performance as main dimensions of sustainability. The proposed model is called DPSEEA‐Sustainability index Model (D‐SiM). The D‐SiM is a causality‐based model in which the sustainability index (SI) is an outcome of nonlinear effects of sustainability indicators in various stages of DPSEEA. To have an improved understanding of input factors (driving forces) and their impact on sustainability, a simplified empirical model is developed and applied to HEIs to determine the percent contribution of various driving forces on sustainability.

The study reveals that economic development, social equity, and education in sustainability are the major drivers for achieving sustainability in HEI, while health and safety issues, energy requirements, institutional enhancement, and international research and development trends are the less significant driving forces.

The indicators connected in DPSEEA framework through causal relationships lead to the quantitative assessment of sustainability, which provides a unique approach for informed decision making.

Implementing climate change adaptation measures immediately is considered both to minimize considerably negative impacts on biodiversity as well as on outdoor recreation in protected area management. This study aims to give answers, why, however, climate change issues receive very limited implementation by practitioners in day-to-day-management.

Using a motivation model by Rheinberg (2006), a more differentiated understanding was gained why stakeholders took almost no action regarding climate change adaptation. A participatory spatial scenario method including a map exercise was used to motivate stakeholders to develop, discuss, exchange and negotiate strategies under different possible future developments and their implementation in protected area management.

According to the motivation model, taking action is dependent on a number of factors and will only happen when all correlations are positive. It can be shown that for adaptation to climate change, concerning almost all of the various factors, no stimuli existed or actors expected a positive outcome when taking action. More motivation was generated for halting the loss of biodiversity and visitor management. In the participatory spatial scenario planning work, stakeholders from different sectors and decision-makers found consensus to implement integrated strategies, considering adaptation to climate change, reduction of greenhouse gases, better protection of biodiversity and different future developments in outdoor recreation activities.

The paper demonstrates the importance of single motivation factors such as perceived competence, abilities to act and perceived positive outcomes including rewards for taking action. Using participatory spatial scenario planning methods can be powerful tools to stimulate joint action, though implementing organizations must be willing to make real use of the outcome of such work.

The purpose of this paper is to address the following questions: To what extent is residents’ perception of the state of their environment consistent with findings based on samples from the field? Are the locals aware of the drivers and pressures that led to the present state of the environment? Are they aware of the impacts? If so, are they able to recommend responses?

To examine the extent to depend on citizens’ opinion in decision-making, the researcher juxtaposed results from data gathered and analysed from the field assessing the quality of the marine environment, coastal zone and levels of both noise and air pollution. The researcher collected datum from focus group meetings, questionnaire and review of newspapers and magazines. The researcher used Qualitative Data Analysis QDA software to analyse qualitative data.

The results of the survey and the focus group meetings indicated that the citizens’ perceptions are, to some extent, in line with the results that the Arabian Gulf University (AGU) team concluded from the field survey. Citizens do not feel the urgency of conserving water because the government has been meeting growing demand by increasing the supply of water. The participants identified drivers and pressures that led to the present state of the environment. They were not able to differentiate between the state of the environment and the impacts of environmental degradation.

Citizens’ opinion is a valuable tool as an input at the various stages of plan formulation. Citizens’ views can bring an issue to experts’ attention and shed light on the qualitative aspect, such as meaning or value, that the quantitative data fail to reveal. However, the planning process must not depend entirely on citizen’s views. Experts must combine citizens’ opinions with scientific facts that result from in situ monitoring and laboratory analysis.

Assessing the impacts generated by tourism has become an essential element for the industry’s sustainability. The increasing intensity of the impacts and the need to evaluate them from a resident’s perspective calls for new approaches to assist tourism management. This paper aims to advance from the pressure-state-response framework (PSR) to measure the tourism impacts in urban destinations with a holistic model called PSR-ti.

A multiple linear regression method was adopted to apply the PSR-ti model in the city of Madrid, estimating the relationship between the pressure (objective) and state (subjective) variables. Local statistical yearbook data was used to construct the pressure variables. Regarding the state variables, a survey was designed to assess residents’ perceptions of tourism. A total of 652 responses were obtained.

The results obtained from the study of pressure indicators unveil that these indicators can support decision-making processes as an underused management tool. This work represents a step forward in considering the transversality of tourism concerning urban planning, the development of equipment and infrastructures or activities such as commerce and culture for the analysis of the state indicators; the results obtained determine the need to periodically evaluate the perception of residents on the impacts of tourism, given its crucial role in the sustainability of the destination.

The PSR-ti model offers a holistic vision, including objective and subjective indicators in the model, which enhances the appraisal of the impacts of tourism by identifying pressure and state factors as a starting point for possible responses by the decision makers of the tourist destination.