77 research outputs found

    Supporting Policy Design for the Diffusion of Cleaner Technologies: A Spatial Empirical Agent-Based Model

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    Renewable energy resources and energy-efficient technologies, as well as building retrofitting, are only some of the possible strategies that can achieve more sustainable cities and reduce greenhouse gas emissions. Subsidies and incentives are often provided by governments to increase the number of people adopting these sustainable energy efficiency actions. However, actual sales of green products are currently not as high as would be desired. The present paper applies a hybrid agent-based model (ABM) integrated with a Geographic Information System (GIS) to simulate a complex socio-economic-architectural adaptive system to study the temporal diffusion and the willingness of inhabitants to adopt photovoltaic (PV) systems. The San Salvario neighborhood in Turin (Italy) is used as an exemplary case study for testing consumer behavior associated with this technology, integrating social network theories, opinion formation dynamics and an adaptation of the theory of planned behavior (TPB). Data/characteristics for both buildings and people are explicitly spatialized with the level of detail at the block scale. Particular attention is given to the comparison of the policy mix for supporting decision-makers and policymakers in the definition of the most efficient strategies for achieving a long-term vision of sustainable development. Both variables and outcomes accuracy of the model are validated with historical real-world data

    Sustainable Cities: A Reflection on Potentialities and Limits based on Existing Eco-Districts in Europe

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    The need for more sustainable cities has become a primary objective of urban strategies. The urgency for a radical transition towards sustainability in a long term-vision has brought with it several new concepts, such as smart urbanism, and models, such as smart city, eco-city, sustainable neighborhood, eco-district, etc. While these terms are fascinating and visionary, they often lack a clear definition both in terms of theoretical insight and empirical evidence. In this light, this contribution aims at defining a conceptual framework through which to further substantiate the blurred concept of eco-district and sustainable neighborhood. It does so by reviewing the concepts of smart urbanism and sustainable neighborhood/eco-districts in the literature, including also references to other well-known sustainability-oriented models of urban development. It then explores whether several indicators, emerging from the analysis of exemplary case studies of sustainable neighborhoods in Europe, can be used to clearly identify the characteristics of a sustainable approach at the district scale. The analysis, built on a review of existing literature, allows for both the clarification of several issues related to these fields of inquiry, as well as for the identification of the potential bridges to link these issues

    The reintroduction of Castor fiber in Piedmont (Italy): An integrated SWOT-spatial multicriteria based approach for the analysis of suitability scenarios

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    Abstract The Castor fiber or Eurasian beaver can change its habitat by building dams and creating ponds. For this reason, Castor fiber is known as an "ecosystem engineer" for aquatic and riparian environments. Despite its ecological importance, at the beginning of the 20th century the population was reduced to only 1200 beavers in Europe and Asia, due to uncontrolled hunting. Recently, some reintroductions and translocations have partly re-established the population. In Italy, however, the beaver disappeared in the 16th century and no action has been taken despite the recommendation of the Council of Europe to perform a feasibility study. This research evaluates beaver reintroduction and identifies suitable areas in Italy and, in particular, in the Piedmont region. In order to achieve this, a SWOT analysis combined with a Spatial Multicriteria Analysis was performed. Firstly, the zoological and ethological aspects concerning this rodent were studied, as well as the historical reasons that led to its disappearance in Italy and near extinction in Eurasia. Secondly, Strengths, Weaknesses, Opportunities and Threats (SWOT) of the territory were identified for beaver reintroduction. The SWOT analysis was implemented, as the starting point for the spatial multicriteria analysis. Thirdly, the Multicriteria Spatial Decision Support System (MC-SDSS) was structured into two criteria, i.e. Potentials and Criticalities, representing the spatialization of strengths and weaknesses. The final result of the MC-SDSS is a map showing suitable areas for beaver reintroduction in Piedmont. This map is the weighted sum of the maps of criticalities and potentialities, performed through a set of GIS operations and weighted through a pairwise comparison of criteria by experts. The analysis was conducted for the Piedmont region, but the integrated approach and the set of criteria can also be applied in other regions. Moreover, this mixed-method approach takes into account the characteristics necessary for the choice of suitable beaver habitats and also includes economic and social aspects. Therefore, it is an improvement on the Habitat Suitability Index (HIS), generally used in reintroductions. The aspects considered in the analysis are fundamental for the future development of a shared action plan, which considers both technical and social motivations and acts for the long-term on a wide area

    Evaluation of Ecosystem Services in Mining Basins: An Application in the Piedmont Region (Italy)

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    Mining activities impact on the territorial system in various ways, affecting its environmental and socio-economic components. Specific evaluation tools can support decision-making processes in the context of the sustainable planning and management of mining activities. Within the evaluation procedures of mining activities, a growing interest in the analysis of Ecosystem Services (ES) is emerging. ES refer to the benefits that the natural system delivers to society, linking the health of ecosystems and human well-being. Starting from a real-world case related to the adoption of the Regional Plan of Mining Activities (PRAE) of the Piedmont region (Northern Italy), the paper aims to explore the ES valuation by considering three different mining quarries. The state of the art of the basins is compared with alternative planning scenarios from the point of view of the ES produced. The valuation is developed through GIS and the Simulsoil software, detecting the biophysical benefits produced and estimating their economic performance. The simulation results can be used to support the formulation of planning strategies, estimating the trade-offs in terms of competitive land-use values. The study also demonstrates that the integration of ES into Strategic Environmental Assessment (SEA) can produce a comprehensive impact assessment of a mining project, guaranteeing the protection and valorisation of the environmental system

    VALUTARE I BENEFICI DEI SERVIZI ECOSISTEMICI URBANI: UNA PROPOSTA METOLOGICA

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    The notions of Ecosystem Services (ES) and Nature-Based Solutions (NBS) reveal the strategic importance of natural capital in the requalification and transitioning of cities. More in detail, ES have been analyzed and categorized by the Millennium Ecosystem Assessment in 2005. On the other hand, the implementation of NBSs is suggested by the most important international frameworks. This interest becomes relevant to respond to the multifaceted pressures that cities and societies have to face, highlighting the crucial importance of public places. Therefore, green policies could provide a solution to the current concerns about both the built and natural environments. Using an ES approach and implementing NBS can provide different types of interventions in cities, ranging from extended green areas to green roofs, that should contribute to the improvements of residents quality of life and general wellness. The main task of this contribution is assessing green roofs from an ecosystem viewpoint, considering the evidence of their advantages for human welfare, their capacity to mitigate climate change, and their potential to protect biodiversity. For this purpose, an integrated evaluation model is suggested to enable decision makers (DMs) to design measures that might improve the quality of life in cities and to consider the many aspects of value in the study of ecosystem services (ES)

    Valutare i benefici dei servizi ecosistemici urbani: una proposta metodologica

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    The notions of Ecosystem Services (ES) and Nature-Based Solutions (NBS) reveal the strategic importance of natural capital in the requalification and transitioning of cities. More in detail, ES have been analyzed and categorized by the Millennium Ecosystem Assessment in 2005. On the other hand, the implementation of NBSs is suggested by the most important international frameworks. This interest becomes relevant to respond to the multifaceted pressures that cities and societies have to face, highlighting the crucial importance of public places. Therefore, green policies could provide a solution to the current concerns about both the built and natural environments. Using an ES approach and implementing NBS can provide different types of interventions in cities, ranging from extended green areas to green roofs, that should contribute to the improvements of residents quality of life and general wellness. The main task of this contribution is assessing green roofs from an ecosystem viewpoint, considering the evidence of their advantages for human welfare, their capacity to mitigate climate change, and their potential to protect biodiversity. For this purpose, an integrated evaluation model is suggested to enable decision makers (DMs) to design measures that might improve the quality of life in cities and to consider the many aspects of value in the study of ecosystem services (ES)

    Integrazione tra GIS e approcci multicriteria per l’individuazione del sito di una struttura ospedaliera

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    Il presente testo illustra il contributo fornito dai Multicriteria-Spatial Decision Support Systems (MC-SDSS) nella risoluzione di problemi complessi di natura territoriale e urbana. Il metodo nasce dall’integrazione dei Geographic Information Systems (GIS) e le tecniche Multicriteria Decision Analysis (MCDA), la cui combinazione determina l’introduzione dell’esplicita considerazione della dimensione spaziale dei problemi decisionali. In modo particolare si intende evidenziare il ruolo svolto dallo strumento GIS nella risoluzione del problema localizzativo del progetto ospedaliero “Parco della Salute” per la Città Metropolitana di Torino

    Regeneration of Rogoredo railway: a combined approach using multi-criteria and financial analysis

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    I vuoti urbani, quali ex aree industriali ed ex scali ferroviari, rappresentano oggi un’importante occasione di riconversione delle città, nell’ottica di uno sviluppo in chiave sostenibile, resiliente e circolare. Tuttavia, gli interventi di trasformazione e rigenerazione urbana sono caratterizzati da un elevato grado di complessità e dinamicità, così come da un’elevata interazione tra le diverse componenti urbane, quali gli aspetti economici, ambientali, sociali e tra i diversi attori coinvolti nel processo. In questo contesto, l’approccio metodologico proposto nel presente contributo combina le Analisi-Multicriteri (AMC) con l’analisi Analisi Finanziaria (AF). Questo modello permette di analizzare e supportare il processo decisionale nella sua complessità, considerando sia gli aspetti qualitativi (sociali e ambientali) sia quelli quantitativi (economico- finanziari). Il caso degli scali ferroviari dell’area di Rogoredo a Milano (Italia) rap- presenta un caso emblematico. La stessa città di Milano, già all’interno del Piano di Governo del Territorio (PGT), propone interventi volti alla riconnessione di questo nodo infrastrutturale per renderlo un polo attrattivo e inclusivo. L’obiettivo di questo contributo è quello di applicare le AMC con l’AF per la valutazione di scenari alternativi, volti alla riqualificazione dell’ex scalo ferroviario di Rogoredo. La valutazione diventa, quindi, parte integrante dell’intero processo decisionale, supportandone tutte le fasi, da quella iniziale fino alla definizione dello scenario più idoneo agli obiettivi prefissati e agli interessi degli stakeholder coinvolti. Il valore aggiunto fornito dalla presente applicazione è rappresentato proprio dalla possibilità di considerare sia il punto di vista degli investitori, attraverso l’AF, sia la più ampia prospettiva pubblica, attraverso il supporto delle AMC. In questo modo è stato possibile costruire e valutare scenari di trasformazione in grado di attrarre possibili investitori e al tempo stesso capaci di promuovere modelli di mobilita sostenibile, forme di inclusione sociale, sviluppo eco-sostenibile, miglioramento della qualità ambientale, attraverso la progettazione di nuove aree pubbliche, spazi verdi e servizi per i cittadini. In questo pro- cesso, la valutazione assume un ruolo essenziale in quanto consente di mettere in luce i diversi obiettivi perseguiti dall’intervento di rigenerazione e le loro eventuali conflittualità. Inoltre, la loro identificazione può supportare la definizione di scenari alternativi di sviluppo, rendendo partecipati sia il processo progettuale sia quello decisionale.Abandoned areas such as neglected railways and urban voids represent a suitable opportunity for the regeneration and requalification of cities, according to the paradigms of sustainability and resilience. Urban transformation and urban regeneration processes are characterized by a high level of complexity, a dynamic behavior over time and interactions between the various actors involved in the process. Within this context, the present paper proposes the application of a combined evaluation framework, based on the integration of Multi-Criteria Decision Analysis (MCDA) with a Financial Analysis (FA) to assess different strategic scenarios for the regeneration of the Rogoredo railways area (Milan, Italy). The purpose of this framework is to take into account the complexity of the decision-making process, considering both the qualitative (social and environmental) and quantitative (economic-financial) aspects. In detail, the railway yards in the Rogoredo area in Milan (Italy) represent an emblematic case. The city of Milan, within the Territory Governance Plan (PGT), has already proposed interventions in this site aimed at reconnecting the infrastructural node and making it an attractive and inclusive pole. The present paper demonstrates the usefulness of evaluation procedures in supporting the entire decision-making process and defining the most suitable scenario considering the initial objective and the stakeholders’ interests. The innovative value provided by this application is represented precisely by the possibility of considering both the developer point of view through FA and the broader public perspective through the support of MCDA. This approach allowed to build and evaluate transformation scenarios capable of both attracting potential investors and promoting sustainable mobility models, social inclusion, eco-sustainable development, improvement of environmental quality through the design of new public areas, green spaces, and services for citizens

    CSF β-amyloid predicts prognosis in patients with multiple sclerosis

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    Background: The importance of predicting disease progression in multiple sclerosis (MS) has increasingly been recognised, hence reliable biomarkers are needed. Objectives: To investigate the prognostic role of cerebrospinal fluid (CSF) Amyloid beta1-42 (A) levels by the determination of a cut-off value to classify patients in slow and fast progressors. To evaluate possible association with white (WM) and grey matter (GM) damage at early disease stages. Methods: Sixty patients were recruited and followed-up for three to five years. Patients underwent clinical assessment, CSF analysis to determine Aβ levels, and brain MRI (at baseline and after 1 year). T1-weighted volumes were calculated. T2-weighted scans were used to quantify WM lesion loads. Results: Lower CSF Aβ levels were observed in patients with a worse follow-up EDSS (r=−0.65, p0.05). Conclusions: Low CSF Aβ levels may represent a predictive biomarker of disease progression in MS
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