Urbanization suitability maps: a dynamic spatial decision support system for sustainable land use

Abstract. Recent developments in land consumption assessment identify the need to implement integrated evaluation approaches, with particular attention to the development of multidimensional tools for guiding and managing sustainable land use. Land use policy decisions are implemented mostly through spatial planning and its related zoning. This involves trade-offs between many sectorial interests and conflicting challenges seeking win-win solutions. In order to identify a decision-making process for land use allocation, this paper proposes a methodological approach for developing a Dynamic Spatial Decision Support System (DSDSS), denominated Integrated Spatial Assessment (ISA), supported by Geographical Information Systems (GIS) combined with the Analytic Hierarchy Process (AHP). Through empirical investigation in an operative case study, an integrated evaluation approach implemented in a DSDSS helps produce "urbanization suitability maps" in which spatial analysis combined with multi-criteria evaluation methods proved to be useful for both facing the main issues relating to land consumption as well as minimizing environmental impacts of spatial planning

Helping decision-makers select the most adequate road infrastructure design from the point of view of sustainability: a practical approach

In recent years, a number of tools have been developed aimed at assessing the socio-economic and environmental feasibility of roadway projects. However, there is still no standardised or commonly accepted methodology to assure the most sustainable design in the appraisal and evaluation of roads over their life-cycle. The introduction of the multidimensional perspectives of sustainability in the appraisal of road projects is still an unresolved aspect. This research identifies strengths and weaknesses of sustainability assessment tools ?including ratings systems, traditional decision-making techniques (e.g. cost benefit analysis, multicriteria decision analysis, among others), checklists and different evaluation frameworks and models for roadways; describes to what extent they integrate sustainability as a whole; and summarizes valuable lessons to learn from them. On the basis of this analysis, it points out a number of methodological issues that need to be addressed before valid road sustainability assessments can be conducted. To response to these issues, this research develops a composite decision support model based on combining cost-benefit analysis (CBA) with multi- criteria decision analysis (MCDA) to accurately appraise sustainability of road projects. This methodology is applied to a case study dealing with the construction of a new roadway in the northwest of Spain. The outcome demonstrates that the approach is a valuable sustainability assessment tool

QUOTATION FOR THE VALUE ADDED ASSESSMENT DURING PRODUCT DEVELOPMENT AND PRODUCTION PROCESSES

This communication is based on an original approach linking economical factors to technical and methodological ones. This work is applied to the decision process for mix production. This approach is relevant for costing driving systems. The main interesting point is that the quotation factors (linked to time indicators for each step of the industrial process) allow the complete evaluation and control of, on the one hand, the global balance of the company for a six-month period and, on the other hand, the reference values for each step of the process cycle of the parts. This approach is based on a complete numerical traceability and control of the processes (design and manufacturing of the parts and tools, mass production). This is possible due to numerical models and to feedback loops for cost indicator analysis at design and production levels. Quotation is also the base for the design requirements and for the choice and the configuration of the production process. The reference values of the quotation generate the base reference parameters of the process steps and operations. The traceability of real values (real time consuming, real consumable) is mainly used for a statistic feedback to the quotation application. The industrial environment is a steel sand casting company with a wide mix product and the application concerns both design and manufacturing. The production system is fully automated and integrates different products at the same time.design and production, cost driving system, numerical traceability

Monitoring and evaluation of human resources for health: an international perspective

BACKGROUND: Despite the undoubted importance of human resources to the functions of health systems, there is little consistency between countries in how human resource strategies are monitored and evaluated. This paper presents an integrated approach for developing an evidence base on human resources for health (HRH) to support decision-making, drawing on a framework for health systems performance assessment. METHODS: Conceptual and methodological issues for selecting indicators for HRH monitoring and evaluation are discussed, and a range of primary and secondary data sources that might be used to generate indicators are reviewed. Descriptive analyses are conducted drawing primarily on one type of source, namely routinely reported data on the numbers of health personnel and medical schools as covered by national reporting systems and compiled by the World Health Organization. Regression techniques are used to triangulate a given HRH indicator calculated from different data sources across multiple countries. RESULTS: Major variations in the supply of health personnel and training opportunities are found to occur by region. However, certain discrepancies are also observed in measuring the same indicator from different sources, possibly related to the occupational classification or to the sources' representation. CONCLUSION: Evidence-based information is needed to better understand trends in HRH. Although a range of sources exist that can potentially be used for HRH assessment, the information that can be derived from many of these individual sources precludes refined analysis. A variety of data sources and analytical approaches, each with its own strengths and limitations, is required to reflect the complexity of HRH issues. In order to enhance cross-national comparability, data collection efforts should be processed through the use of internationally standardized classifications (in particular, for occupation, industry and education) at the greatest level of detail possible

MULTI–CRITERIA HOME ENERGY MANAGEMENT SYSTEM SELECTION FOR THE SMART GRID SUPPORT

Home energy management systems (HEMS) are increasingly used as a tool that creates optimal consumption and production schedules for Smart Grids, by considering objectives such as energy costs, environmental concerns, load profiles, and consumer comfort. Multiple criteria selection of optimal HEMS seems to be superior to the traditional cost benefit assessment in measuring intangibles and soft impacts, introducing qualitative aspects in the analysis. This paper proposes an algorithm for the selection of optimal HEMS, using the fuzzy AHP method. This methodological framework provides a multi-criteria approach for estimating the benefits and costs of different HEMS within the Smart Grid uncertain environment. This method allows the decision makers to incorporate unquantifiable, asymmetrical, incomplete, non-obtainable information and partially ignorant facts into a decision model. Four criteria and eleven performances for the optimal solution selection are defined. The method is successful in the evaluation of alternatives in the presence of heterogeneous criteria and uncertain environment. The methodology is illustrated on the choice of HEMS from the power distribution company perspective. It is concluded that the evaluation of weighting factors has a decisive character in the choice of the final one of several alternative variants. Fuzzification of input values can also contribute to a more flexible view of the given problem and analysis of sensitivity to various input parameters

Priorities for health economic methodological research: Results of an expert consultation

Background: The importance of economic evaluation in decision making is growing with increasing budgetary pressures on health systems. Diverse economic evidence is available for a range of interventions across national contexts within Europe, but little attention has been given to identifying evidence gaps that, if filled, could contribute to more efficient allocation of resources. One objective of the Research Agenda for Health Economic Evaluation project is to determine the most important methodological evidence gaps for the ten highest burden conditions in the European Union (EU), and to suggest ways of filling these gaps. Methods: The highest burden conditions in the EU by Disability Adjusted Life Years were determined using the Global Burden of Disease study. Clinical interventions were identified for each condition based on published guidelines, and economic evaluations indexed in MEDLINE were mapped to each intervention. A panel of public health and health economics experts discussed the evidence during a workshop and identified evidence gaps. Results: The literature analysis contributed to identifying cross-cutting methodological and technical issues, which were considered by the expert panel to derive methodological research priorities. Conclusions: The panel suggests a research agenda for health economics which incorporates the use of real-world evidence in the assessment of new and existing interventions; increased understanding of cost-effectiveness according to patient characteristics beyond the “-omics” approach to inform both investment and disinvestment decisions; methods for assessment of complex interventions; improved cross-talk between economic evaluations from health and other sectors; early health technology assessment; and standardized, transferable approaches to economic modeling

How to chose innovation policies to foster SMEs growth. A region - industry - firm type approach

This paper aimed at defining a common methodological framework for the evaluation and decision regarding innovation policy instruments, suitable for an international comparative approach. It may be useful in empirical analysis and operative projects. In particular, the originality of the methodology are the interdisciplinary approach, considering all three main factors affecting innovation systems, especially when thinking to SMEs: the territorial, the technological and the entrepreneurship dimension. In addition, the methodology has adopted a demand driven approach, based on the precise identification of the needs of services, by analysing them according to different dimensions: industries/technologies, firms and regions. Thus, the study has adopted a strategic perspective and it indicates that the identification of the strengths, weaknesses, opportunities and threats is facilitating the identification of the actual needs and demand of technology transfer services in a given region. The methodology is also characterized for having analysed a wide variety of the instruments, which can be used in innovation policies ranging from a top-down, governmental approach to a bottom-up and market approach. This model allows to support decision makers in measuring in a more rigorous and quantitative way the complementarities and the trade-offs of these innovation policy instruments, while aiming to respond to various and interdependent needs, which may have a different priority in various industries, firms and regions. This is clearly also an effective approach to investigate on regional attractiveness factors and it is a new method of evaluation when applying the model reversely, as well as it is useful to identify most suitable initiatives to apply to enhance the competitiveness of a territory.SMEs, Innovation Policies, Technology Trasfer, Regional Developement

Risk and sustainability assessment (RSA) framework for ‘water scarcity – water reuse’ situations: Conceptualisation, operationalisation, and testing

The number of regions undergoing water scarcity, where the quantity of available water is not enough to meet human demand, is expected to increase in the future. Water reuse measures have been widely implemented to face these situations as a means of increasing the supply of water resources. Thus, ‘water scarcity – water reuse’ (WS-WR) situations will likely become more common. In these cases, water resources management to secure enough water supply is key. Risk and sustainability concepts have been consolidated as guiding discourses that also support the management of water resources. In particular, in the case of WS-WR situations, they can guide decision-makers towards reducing the risk of water scarcity and striving for the implementation of sustainable water reuse measures. In particular, the use of risk and sustainability assessments helps to deal with various social, economic, and environmental requirements and constraints. However, there is still the call for a more comprehensive and integrated assessments. This dissertation aims at providing new ideas for the integration of risk and sustainability in the case of WS-WR situations. Three objectives guide this research: (A) to develop a conceptual assessment framework to support decision-making concerning sustainable water reuse in regions facing risk of water scarcity; (B) to advance the conceptual framework interrelating existing risk and sustainability assessment methodologies and indicators in the context of decision support; and (C) to test the conceptual and methodological framework using a case study in Latin America. Each objective is associated with a research question: (RQ1) How is decision-making regarding water reuse understood and supported towards reducing the risk of water scarcity sustainably – and how can it be represented in a conceptual assessment framework?; (RQ2) How can a conceptual framework for assessing water reuse as sustainable water scarcity risk reduction measures be operationalised through a methodological framework?; and (RQ3) What are the findings from testing the framework in a case study – and what can be incorporated into the framework? Each objective and its respective research question was addressed as a separate step of the research approach, comprising the development of an integrated Risk and Sustainability Assessment (RSA) Framework for WS-WR situations, its operationalisation and testing. The research approach followed a deductive to inductive rationale relying on qualitative and quantitative methods. The outputs of this research are three scientific publications that build this cumulative dissertation (two published and one submitted for revision). The development of the conceptual framework followed three steps: (i) defining the concepts of ‘water scarcity’, ‘water reuse’, ‘risk’ and ‘risk assessment’, ‘sustainability’ and ‘sustainability assessment’, and ‘decision-making’; (ii) integrating these concepts by interpreting water scarcity from a risk perspective and water reuse from a sustainability perspective, and relating assessments with decision-making; and (iii) structuring the RSA Framework, following a risk assessment and framing it by the social, economic, and environmental dimensions of sustainability. Results allowed defining decision-making in WS-WR situations as a four-step cyclic process that can be supported by an integrated RSA that comprises an analysis (descriptive and objective) and evaluation (subjective). The methodological aspects for the operationalisation of the RSA conceptual framework focused mainly on developing an analytical concept to support an adequate derivation of the information required in an integrated RSA for WS-WR situations. The resulting concept is based on (i) understanding the WS-WR situation as a Coupled Human and Natural System (CHANS) and identifying the main biophysical elements (endpoints); (ii) translating the CHANS endpoints into an information system via a Multi-Layer (ML) approach using generic descriptors and specific indicators; and (iii) identifying and characterising interlinkages between the indicators via a Lane-Based (LB) approach. Additional methodological aspects related to the evaluation include the use of indicator-based multi-criteria decision-making methods that include the weighting and aggregation of these indicators, as well as the selection of threshold values as evaluation criteria. The testing of the integrated RSA Framework was carried out in Cerrillos de Tamaya, Chile. It involved an ex-post RSA of a water reuse measure implemented in 2018 to face the local water scarcity situation. The testing included (i) describing the case study location and adapting the RSA Framework to fit the local context; (ii) translating the case study’s CHANS via the ML approach and identifying and characterising interlinkages via the LB approach; and (iii) evaluating the degree of risk of water scarcity and sustainability of water reuse via the distance-based method TOPSIS. The results of the testing provided feedback for the RSA Framework. These mainly referred to the influence of the conceptualisation behind the indicators and their use, and the methodological challenges for integrating risk and sustainability evaluation. Further recommendations to the RSA framework are: the inclusion of interlinkage directionality; the use of existing system dynamics modelling approaches (e.g., CLD, SFD); the development of an established database of indicators; the automation of the interlinkages analysis (LB approach); and advance the use of scenarios for sustainability evaluation for better coupling with risk evaluation methods. Overall this research provides evidence of (a) the conceptual integration of risk and sustainability discourses under one decision support framework for the case of WS-WR situations; (b) the use of a system thinking approach for interpreting the WS-WR situation; (c) the relevance of indicators as a means of representing the situation; (d) the interlinkage of social, economic, environmental information; (e) the benefits of the use of conceptual maps; (f) gaps in the process of measuring the effect of water reuse on water scarcity levels via indicators; (g) the gap between a simulation-based risk assessment and a snapshot-focused sustainability assessment that hinders an operational integration; (h) the possibility of the RSA framework to bridge a system thinking view with a traditional assessment-based decision-making view.:Acknowledgements Abstract Contents List of Figures List of Tables Acronyms and Abbreviations Symbols Chapter 1 - Introduction 1.1 Background and problem statement 1.1.1 Water resources for water security 1.1.2 Risk and sustainability discourses for water-related decision-making 1.1.3 Problem statement and research focus 1.2 Objectives and research questions 1.3 Research approach and structure of the document 1.3.1 Research approach 1.3.2 Structure of the document 1.4 Chapter references Chapter 2 - Conceptual Framework 2.1 Introduction 2.2 Developing the conceptual framework 2.2.1 Definition and interpretation of the subject at stake 2.2.2 Identification and definition of key concepts 2.2.3 Construction of the conceptual framework 2.3 Results and discussion 2.3.1 Defining and interpreting the ‘water scarcity – water reuse’ situation 2.3.2 Identifying and defining key concepts 2.3.3 Construction of the integrated RSA Framework 2.4 Conclusions and outlook 2.5 Acknowledgements 2.6 Chapter references Chapter 3 - Methodological Aspects 3.1 Introduction 3.2 RSA Framework for a WS-WR situation 3.3 Systems thinking in a WS-WR situation 3.3.1 Identifying elements of a WS-WR situation and its interpretation as a system 3.3.2 Translation of the CHANS into an information system 3.4 Characterisation and interlinkage of indicators 3.4.1 Type and number of indicators 3.4.2 Type and number of interlinkages 3.4.3 Indicator connectivity 3.4.4 Structuring via a lane-based approach 3.5 RSA analytical concept and exemplification 3.5.1 RSA analytical concept 3.5.2 Exemplification of the analyitical concept 3.6 Discussion 3.6.1 Translating the CHANS into an information system 3.6.2 Supporting decision-making via the analytical concept 3.7 Conclusions 3.8 Acknowledgements 3.9 Chapter references Chapter 4 - Framework Testing 4.1 Introduction 4.2 Approach 4.2.1 RSA Framework 4.2.2 Case study site 4.3 Results 4.3.1 Analysis 4.3.2 Evaluation 4.3.3 General results for the case 4.4 Discussion 4.4.1 Analysis 4.4.2 Evaluation 4.4.3 Overall discussion on the testing of the RSA Framework 4.5 Conclusions 4.6 Acknowledgements 4.7 Chapter References Chapter 5 - Synthesis 5.1 Conceptual aspects 5.2 Methodological aspects 5.3 Testing aspects 5.4 Placing the RSA Framework in a broader context 5.5 Chapter References Chapter 6 - Conclusions and Outlook Annexes Annex A - Literature review: Found records Annex B - Example list of endpoints, descriptors, indicators, and attributes Annex C - Technique for Order Preference by Similarly to Ideal Solution (TOPSIS) Annex D - Translation into the Information System (from endpoints to attributes) Annex E - Interlinkages Identification Matrix Annex F - List of Most Interlinked Indicators (MII) Annex G - List of indicators, scores, and threshold