18,305 research outputs found

    Operationalizing the circular city model for naples' city-port: A hybrid development strategy

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    The city-port context involves a decisive reality for the economic development of territories and nations, capable of significantly influencing the conditions of well-being and quality of life, and of making the Circular City Model (CCM) operational, preserving and enhancing seas and marine resources in a sustainable way. This can be achieved through the construction of appropriate production and consumption models, with attention to relations with the urban and territorial system. This paper presents an adaptive decision-making process for Naples (Italy) commercial port's development strategies, aimed at re-establishing a sustainable city-port relationship and making Circular Economy (CE) principles operative. The approach has aimed at implementing a CCM by operationalizing European recommendations provided within both the Sustainable Development Goals (SDGs) framework-specifically focusing on goals 9, 11 and 12-and the Maritime Spatial Planning European Directive 2014/89, to face conflicts about the overlapping areas of the city-port through multidimensional evaluations' principles and tools. In this perspective, a four-step methodological framework has been structured applying a place-based approach with mixed evaluation methods, eliciting soft and hard knowledge domains, which have been expressed and assessed by a core set of Sustainability Indicators (SI), linked to SDGs. The contribution outcomes have been centred on the assessment of three design alternatives for the East Naples port and the development of a hybrid regeneration scenario consistent with CE and sustainability principles. The structured decision-making process has allowed us to test how an adaptive approach can expand the knowledge base underpinning policy design and decisions to achieve better outcomes and cultivate a broad civic and technical engagement, that can enhance the legitimacy and transparency of policies

    A BWM approach to determinants of sustainable entrepreneurship in small and medium-sized enterprises

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    Small and medium-sized enterprises (SMEs) constitute an extremely large percentage of most nations’ businesses. These companies are also expressing growing concerns about sustainability and its strategic integration into operations. However, SMEs have been prevented from making investments in sustainability by the absence of a holistic view of this topic, an overemphasis on an economic perspective, and the consequent devaluation of environmental and social perspectives. In this context, greater importance needs to be given to investigating SME sustainability and building a transparent, holistic, and realistic business model. The present study combines cognitive mapping and the best worst method (BWM) to identify determinants of sustainable entrepreneurship in SMEs. These techniques were applied in two meetings with a panel of specialists with knowledge about and experience in this subject matter. The insights obtained during the two panel meetings allowed the proposed process-oriented approach to assist decision-makers in analyzing a sample of SMEs and selecting the ones that best match the following clusters of decision criteria: (1) entrepreneur profile; (2) firm internal characteristics; (3) economic factors; (4) other external factors; and (5) market. The results were validated by four representatives of the Portuguese Institute for Small and Medium-sized Enterprises and Innovation (Instituto de Apoio às Pequenas e Médias Empresas e à Inovação (IAPMEI) in Portuguese). The study’s contributions and limitations are also discussed.info:eu-repo/semantics/publishedVersio

    Integrated Spatial Assessment (ISA): A Multi-Methodological Approach for Planning Choices

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    In decision-making processes for urban planning and design, evaluation can be considered a relevant tool to build choices, to recognize values, interests and needs, and to explore the different aspects that can influence decisions. Evaluation can be considered a process to integrate approaches, methods and models, able to support the different needs of the decision-making process itself. According to Trochim and Donnelly (2006), it is possible to define a planning-evaluation cycle with various phases requested by both planners and evaluators. The first phase of such a cycle, the so-called planning phase, is designed in order to elaborate a set of potential actions, programs, or technologies, and select the best ones for implementation. The main stages are related to (1) the formulation of the problem, issue, or concern; (2) the broad conceptualization of the main alternatives to be considered; (3) the detailing of these alternatives and their potential implications; (4) the evaluation of the alternatives and the selection of the preferable one; and (5) the implementation of the selected alternative. These stages are considered inherent to planning, but they need a relevant evaluation work, useful in conceptualization and detailing, and in assessing alternatives and making a choice of the preferable one. The evaluation phase also involves a sequence of stages that includes: (1) the formulation of the major goals and objectives; (2) the conceptualization and operationalization of the major components of the evaluation (program, participants, setting, criteria, measures, etc.); (3) the design of the evaluation, detailing how these components will be coordinated; the analysis of the information, both qualitative and quantitative; and (4) the utilization of the evaluation results. Indeed, evaluation is intrinsic to all types of decision-making and can take different meanings and roles within decision-making processes, especially if it is related to spatial planning (Alexander, 2006). ”Evaluation in planning” or ”evaluation within planning” seems to better interpret the concept of planning-evaluation proposed by Lichfield (1996) where the binomial name makes explicit the close interaction and reciprocal framing of evaluation and planning: evaluation is conceived as deeply embedded in planning, affecting planning, and evolving with it (Cerreta, 2010). Indeed, the evolution of evaluation methods reflects their evolving relationship with the planning process and the way in which they interact with the diversity and multiplicity of domains and values. To identify an analytic and evaluative structure able to integrate different purposes and multidimensional values within the decision-making processes means to develop evaluation frameworks not focusing only on the environmental, social and economic effects of different options, but also considering the nature of the stakes, selecting priorities and values in a multidimensional perspective. It is crucial to structure complex decision-making processes oriented to an integrated planning, that can support the selection, the monitoring and the management of different resources, and the interaction among decision-makers, decision-takers, stakeholders and local community

    User-centered visual analysis using a hybrid reasoning architecture for intensive care units

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    One problem pertaining to Intensive Care Unit information systems is that, in some cases, a very dense display of data can result. To ensure the overview and readability of the increasing volumes of data, some special features are required (e.g., data prioritization, clustering, and selection mechanisms) with the application of analytical methods (e.g., temporal data abstraction, principal component analysis, and detection of events). This paper addresses the problem of improving the integration of the visual and analytical methods applied to medical monitoring systems. We present a knowledge- and machine learning-based approach to support the knowledge discovery process with appropriate analytical and visual methods. Its potential benefit to the development of user interfaces for intelligent monitors that can assist with the detection and explanation of new, potentially threatening medical events. The proposed hybrid reasoning architecture provides an interactive graphical user interface to adjust the parameters of the analytical methods based on the users' task at hand. The action sequences performed on the graphical user interface by the user are consolidated in a dynamic knowledge base with specific hybrid reasoning that integrates symbolic and connectionist approaches. These sequences of expert knowledge acquisition can be very efficient for making easier knowledge emergence during a similar experience and positively impact the monitoring of critical situations. The provided graphical user interface incorporating a user-centered visual analysis is exploited to facilitate the natural and effective representation of clinical information for patient care

    A SEMI-AUTOMATED APPROACH TO SUPPORT THE ARCHITECT DURING THE GENERATION OF COMPONENT-BASED ENTERPRISE ARCHITECTURES

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    In today?s volatile business environments, enterprises need to be able to flexibly adapt their information systems and add new functionality quickly. Component-based enterprise architectures promise to help solving these challenges by structuring information systems landscapes into modular business components. However, the derivation of business components from conceptual models still poses research challenges as current methods do not adequately involve the architect and his/her situational preferences. In this paper, we propose an advanced method that facilitates a systematic, reflected derivation of business components. The novel contribution of this paper thereby is to show (i) how the architect can define the derivation of business components from conceptual models as a multi-criteria decision-making problem according to his/her situational preferences and (ii) how the architect can systematically verify the stability of the derivation results. We demonstrate the feasibility of the proposed method by demonstrating its implementation as part of the SeaCoAST tool and applying it to the after-sales processes of a world-wide leading automobile manufacturer

    Strategic Environmental Assessment of Port Plans in Italy: Experiences, Approaches, Tools

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    Evaluation is increasingly important in decision-making processes for the sustainable planning and design of port plans. It acts as a support for plan preparation, for making values, interests and needs explicit, and for exploring the components of the decision-making process itself. Evaluation can be likened to an "implicit tool" that can integrate approaches, methodologies and models, adapting to the many needs revealed during the decision-making process. New sustainability challenges call for new approaches to creating frameworks for the analysis and evaluation of plans and projects that allow the integration of multidimensional goals and values. Utilizing some selected case studies of port plans in six Italian cities, this paper explores how environmental assessment can become a tool for dialog and interaction among different fields of expertise to support dynamic learning processes, knowledge management and the creation of shared choices, using suitable approaches and tools. In this view, Integrated Spatial Assessment (ISA) can be useful in supporting decision-making processes on different scales and institutional levels to stimulate dialog between technical and political evaluations, referring to complex values that are part of conflicting and changing realities in which it has become imperative to operate according to sustainability principles

    A knowledge-based decision support system for sustainable city livability evaluation

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    The real estate industry is an important indicator of national economies and is influenced by the environment in which it operates. Several countries were seriously affected by the most recent international financial crisis, including Portugal. Nevertheless, it is still an interesting area to invest in, in spite of the challenges cities may face nowadays that influence their sustainable livability. For this reason, it seems logical to develop and apply methodologies aimed at evaluating sustainable city livability. It is worth noting, however, that there are methodological limitations typically associated with the majority of the current applications (e.g. how to select and weight criteria in the evaluation), which have been hampering the progress. Hence, this dissertation aims to develop a knowledge-based decision support system to evaluate sustainable city livability, in a transparent and informed way. To achieve this goal, it combines cognitive mapping techniques and the Analytic Hierarchy Process (AHP). The advantages and limitations of this integrative evaluation model are also analyzed and discussed.O mercado imobiliário é um indicador importante das economias mundiais e é influenciado pelo ambiente em que opera. Muitos foram os países seriamente afetados pela mais recente crise financeira internacional, incluindo Portugal. Não obstante, este continua a ser uma área de investimento interessante, ainda que, hoje em dia, as cidades possam enfrentar desafios que influenciam a sua habitabilidade sustentável. Por essa razão, parece lógico o desenvolvimento e a aplicação de metodologias que permitam avaliar a sustentabilidade habitacional de uma área urbana. No entanto, limitações metodológicas comuns à maioria das aplicações (e.g. processo de seleção e ponderação dos critérios de avaliação) têm dificultado os progressos alcançados. Assim, a presente dissertação pretende desenvolver um “termómetro” de habitabilidade sustentável que, de forma informada e transparente, permita apoiar a tomada de decisão no mercado imobiliário urbano, através da combinação do uso integrado de técnicas de mapeamento cognitivo e da metodologia Analytic Hierarchy Process (AHP). As vantagens e as limitações do uso deste sistema integrativo de avaliação serão também analisadas e discutidas

    Decision-making methods in engineering design: a designer-oriented approach

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    The use of decisional methods for the solution of engineering design problems has to be tackled on a "human" viewpoint. Hence, fundamental is the identification of design issues and needs that become a designer oriented viewpoint. Decision-based methods are systematically classified in MCDM methods, Structured Design methods and Problem Structuring methods. The results are organised in order to provide a first reference for the designer in a preliminary selection of decision-based methods. The paper shows the heterogeneous use of decision-based methods, traditionally expected to solve only some specific design problems, which have been used also in different design contexts. Moreover, several design issues, which emerged from the review process, have been pointed out and discussed accordingly. This review provided useful results for the enlargement of the state of the art on Decision Based Design methods in engineering design contexts
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