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Mr. Giuliano Poli
Department of Architecture, University of Naples Federico II, 80138 Napoli NA, Italy

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Research Keywords & Expertise

0 Geographic Information Science
0 Multi-criteria Decision Analysis
0 Spatial Decision Support Systems
0 integrated assessment model
0 Landscape Sustainability Science

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Spatial Decision Support Systems

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Journal article
Published: 03 March 2021 in Sustainability
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The concept of transformative resilience has emerged from the recent literature and represents a way to interpret the potential opportunities for change in vulnerable territories, where a socioeconomic change is required. This article extends the perspective of transformative resilience to an assessment of the landscape multifunctionality of inland areas, exploring the potential of identifying a network of synergies among the different municipalities that is able to trigger a process of territorial resilience. A spatial decision support system (SDSS) for multifunctionality landscape assessment aims to help local actors understand local resources and multifunctional values of the Partenio Regional Park (PRP) and surrounding municipalities, in the South of Italy, stimulating their cooperation in the management of environmental and cultural sites and the codesign of new strategies of enhancement. The elaboration of spatial indicators according to Landscape Services classification and the interaction between the “Analytic Network Process” (ANP) method, spatial weighted overly and geographic information system (GIS) support the identification of a preferable scenario able to activate a transformative resilience strategy in selected vulnerable inland areas, which can be scaled up in other similar contexts.

ACS Style

Maria Cerreta; Simona Panaro; Giuliano Poli. A Spatial Decision Support System for Multifunctional Landscape Assessment: A Transformative Resilience Perspective for Vulnerable Inland Areas. Sustainability 2021, 13, 2748 .

AMA Style

Maria Cerreta, Simona Panaro, Giuliano Poli. A Spatial Decision Support System for Multifunctional Landscape Assessment: A Transformative Resilience Perspective for Vulnerable Inland Areas. Sustainability. 2021; 13 (5):2748.

Chicago/Turabian Style

Maria Cerreta; Simona Panaro; Giuliano Poli. 2021. "A Spatial Decision Support System for Multifunctional Landscape Assessment: A Transformative Resilience Perspective for Vulnerable Inland Areas." Sustainability 13, no. 5: 2748.

Conference paper
Published: 03 October 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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This research aims at evaluating socio-spatial exclusion, through selected spatial indices of isolation and segregation, within the Municipality of Naples (Italy), where entire communities, living in social housing districts, face critical conditions of social isolation and exclusion from the processes of urban development. The methodological approach investigates the scientific landscape in the fields of policy evaluation, policy analysis and planning, detecting the accepted standards for measuring urban segregation, as well as spatial multi-dimensional indicators and indices, able to tackle complex urban issues, related to social isolation processes, within the urban system. The selection of the global spatial indices of Dissimilarity, Isolation and Exposure, and their application at the local level are tested, using mesh blocks as minimum spatial units. The results identify different clusters within the selected urban territory, expression of the various critical conditions and effect of the many housing policies, during the second half of the last century, that highlight how some policy decision has reinforced segregation dynamics. The research is developed within the framework of the European project HERA Joint Research Programme “Public Spaces: Culture and Integration in Europe”, “PuSH: Public Space in European Social Housing”.

ACS Style

Maria Cerreta; Giuliano Poli; Maria Reitano. Evaluating Socio-spatial Exclusion: Local Spatial Indices of Segregation and Isolation in Naples (Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12253, 207 -220.

AMA Style

Maria Cerreta, Giuliano Poli, Maria Reitano. Evaluating Socio-spatial Exclusion: Local Spatial Indices of Segregation and Isolation in Naples (Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12253 ():207-220.

Chicago/Turabian Style

Maria Cerreta; Giuliano Poli; Maria Reitano. 2020. "Evaluating Socio-spatial Exclusion: Local Spatial Indices of Segregation and Isolation in Naples (Italy)." Transactions on Petri Nets and Other Models of Concurrency XV 12253, no. : 207-220.

Conference paper
Published: 29 September 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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The paper explains a research methodology to understand the impacts of touristification and overtourism on the urban dimension. A block of the Naples historic downtown (Italy) has been selected as a sample to verify the transformations induced by the airification process of the city since 2015 on the social and urban environment, investigating the influence on real estate dynamics, and their impacts related to economic, social, cultural and urban criteria. The mapping of Airbnb listings on the block has allowed to analyse the economic convenience of renting short-term housing, identifying an income surplus defined as “interstitial rent”, which represents the economic advantage achieved. The analyses carried out on the average market values of the properties on Airbnb have revealed the tendency to redevelop the “waste building stock”, which is unattractive for the ordinary market, in view of its turbo-valorisation by converting it into accommodation. The attractiveness characteristics of the properties were compared to the average market values to investigate the housing stock that can be removed from the ordinary residence market in view of its value enhancement. This research has highlighted the progressive gentrification of the historic center and the relocation of the permanent inhabitants outside it. Therefore, investigating the prevailing sentiment that agitates the social organisations of Europe, we have come to provide an intervention proposal for the regulation of post covid-19 housing policy, which tends to co-participated formulation of strategic choices, involving all interested parties, in order to find a shared application.

ACS Style

Maria Cerreta; Fernanda Della Mura; Giuliano Poli. Assessing the Interstitial Rent: The Effects of Touristification on the Historic Center of Naples (Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12251, 952 -967.

AMA Style

Maria Cerreta, Fernanda Della Mura, Giuliano Poli. Assessing the Interstitial Rent: The Effects of Touristification on the Historic Center of Naples (Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12251 ():952-967.

Chicago/Turabian Style

Maria Cerreta; Fernanda Della Mura; Giuliano Poli. 2020. "Assessing the Interstitial Rent: The Effects of Touristification on the Historic Center of Naples (Italy)." Transactions on Petri Nets and Other Models of Concurrency XV 12251, no. : 952-967.

Conference paper
Published: 29 September 2020 in Transactions on Petri Nets and Other Models of Concurrency XV
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Maritime transport technologies and infrastructures development fostering global economies since the second half of the 20th century, conditioning the reshaping of the territorial system in terms of social and spatial organisation, detaching port functions from urban ones and weakening their relationships. The reorganisation of the same activities, often within larger areas of the existing urban structure, has emphasised the so-called misalignment of the City-Port, given by dynamics having benefits at the regional scope and localised negative impacts. The European recommendations provided by both the Sustainable Development Goals (SDGs) framework and the Maritime Spatial Planning European Directive 2014/89, within the theoretical and methodological framework provided by Circular City Model (CCM) approach, define the context to reconsider City-Port dynamics, leading to a regeneration of both the port and the city. To identify sustainable design strategies’ portfolio for Naples City-Port, in Italy, as pivotal action to trigger the regenerative process, the selection of a suitable set of indicators, within a multidimensional and multi-scale decision support system, has been developed. The study is part of the Italian research Project of Relevant National Interest (PRIN, 2015), “Metropolitan cities: territorial economic strategies, financial constraints, and circular regeneration”, coordinated by the Polytechnic of Milan, Italy.

ACS Style

Maria Cerreta; Eugenio Muccio; Giuliano Poli; Stefania Regalbuto; Francesca Romano. City-Port Circular Model: Towards a Methodological Framework for Indicators Selection. Transactions on Petri Nets and Other Models of Concurrency XV 2020, 12251, 855 -868.

AMA Style

Maria Cerreta, Eugenio Muccio, Giuliano Poli, Stefania Regalbuto, Francesca Romano. City-Port Circular Model: Towards a Methodological Framework for Indicators Selection. Transactions on Petri Nets and Other Models of Concurrency XV. 2020; 12251 ():855-868.

Chicago/Turabian Style

Maria Cerreta; Eugenio Muccio; Giuliano Poli; Stefania Regalbuto; Francesca Romano. 2020. "City-Port Circular Model: Towards a Methodological Framework for Indicators Selection." Transactions on Petri Nets and Other Models of Concurrency XV 12251, no. : 855-868.

Journal article
Published: 07 September 2020 in Applied Sciences
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The complexity of the urban spatial configuration, which affects human wellbeing and landscape functioning, necessitates data acquisition and three-dimensional (3D) visualisation to support effective decision-making processes. One of the main challenges in sustainability research is to conceive spatial models adapting to changes in scale and recalibrate the related indicators, depending on scale and data availability. From this perspective, the inclusion of the third dimension in the Urban Ecosystem Services (UES) identification and assessment can enhance the detail in which urban structure–function relationships can be studied. Moreover, improving the modelling and visualisation of 3D UES indicators can aid decision-makers in localising, analysing, assessing, and managing urban development strategies. The main goal of the proposed framework is concerned with evaluating, planning, and monitoring UES within a 3D virtual environment, in order to improve the visualisation of spatial relationships among services and to support site-specific planning choices.

ACS Style

Maria Cerreta; Roberta Mele; Giuliano Poli. Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy. Applied Sciences 2020, 10, 6205 .

AMA Style

Maria Cerreta, Roberta Mele, Giuliano Poli. Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy. Applied Sciences. 2020; 10 (18):6205.

Chicago/Turabian Style

Maria Cerreta; Roberta Mele; Giuliano Poli. 2020. "Urban Ecosystem Services (UES) Assessment within a 3D Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples, Italy." Applied Sciences 10, no. 18: 6205.

Preprint
Published: 19 June 2020
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The complexity of urban spatial configuration, which affects human-well being and landscape functioning, needs acquisition and 3d visualisation data to inform decision-making process better. One of the main challenges in sustainability research is to conceive spatial models which are capable of adapting to changes in scale and recalibrating the related indicators depending on the degree of detail and data availability. In this perspective, the inclusion of the third dimension into Urban Ecosystem Services (UES) assessment studies highlights the details of urban structure-function relationships, improves modelling and visualisation of data and impacts, aiding decision-makers to localise, assess and manage urban development strategies. The main goal of the proposed framework concerns mapping, evaluating and planning of the UES within a 3d-virtual environment to improve the visualisation of the spatial relationships among the services allocation and the urban fabric density.

ACS Style

Maria Cerreta; Roberta Mele; Giuliano Poli. Urban Ecosystem Services (UES) Assessment within a 3D-Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples (Italy). 2020, 1 .

AMA Style

Maria Cerreta, Roberta Mele, Giuliano Poli. Urban Ecosystem Services (UES) Assessment within a 3D-Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples (Italy). . 2020; ():1.

Chicago/Turabian Style

Maria Cerreta; Roberta Mele; Giuliano Poli. 2020. "Urban Ecosystem Services (UES) Assessment within a 3D-Virtual Environment: A Methodological Approach for the Larger Urban Zones (LUZ) of Naples (Italy)." , no. : 1.

Journal article
Published: 07 April 2020 in Sustainability
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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.

ACS Style

Maria Cerreta; Eleonora Giovene Di Girasole; Giuliano Poli; Stefania Regalbuto. Operationalizing the Circular City Model for Naples’ City-Port: A Hybrid Development Strategy. Sustainability 2020, 12, 2927 .

AMA Style

Maria Cerreta, Eleonora Giovene Di Girasole, Giuliano Poli, Stefania Regalbuto. Operationalizing the Circular City Model for Naples’ City-Port: A Hybrid Development Strategy. Sustainability. 2020; 12 (7):2927.

Chicago/Turabian Style

Maria Cerreta; Eleonora Giovene Di Girasole; Giuliano Poli; Stefania Regalbuto. 2020. "Operationalizing the Circular City Model for Naples’ City-Port: A Hybrid Development Strategy." Sustainability 12, no. 7: 2927.

Conference paper
Published: 04 July 2018 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper analyses the issue of urban vulnerability assessment, aiming to identify appropriate strategies to mitigate the impacts of climate change, through decision-making processes that are attentive to the spatial, territorial and geographical scale. In complex decision-making problems, the spatial assessment of homogeneous vulnerability classes can become a useful support for translating the value of vulnerability into intervention priorities and enabling the selection of appropriate intervention alternatives. Urban vulnerability is a complex phenomenon requiring significant and effective indicators that allow an adequate assessment both in quantitative and qualitative terms. Among the different multidimensional approaches present in the literature, as part of the METROPOLIS (Metodologie E Tecnologie integRate e sOstenibili Per l’adattamentO e La sicurezza deI Sistemi urbani) research project, developed by the local unit of the Department of Architecture, University of Naples Federico II, the multi-criteria and multi-group analysis method TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) was applied; this method is particularly suitable in complex decisional contexts, such as the level of vulnerability of a territory, where the kind of information relative to the performances to be evaluated presents considerable levels of uncertainty. The integration of the TOPSIS method in the GIS (Geographic Information System) makes it possible to test the opportunities of an integrated and cross-scale evaluation model, by structuring a Spatial Decision Support System (SDSS) applied to the case study of Naples, in the South of Italy.

ACS Style

Maria Cerreta; Roberta Mele; Giuliano Poli. Urban Vulnerability Assessment: Towards a Cross-Scale Spatial Multi-criteria Approach. Transactions on Petri Nets and Other Models of Concurrency XV 2018, 502 -517.

AMA Style

Maria Cerreta, Roberta Mele, Giuliano Poli. Urban Vulnerability Assessment: Towards a Cross-Scale Spatial Multi-criteria Approach. Transactions on Petri Nets and Other Models of Concurrency XV. 2018; ():502-517.

Chicago/Turabian Style

Maria Cerreta; Roberta Mele; Giuliano Poli. 2018. "Urban Vulnerability Assessment: Towards a Cross-Scale Spatial Multi-criteria Approach." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 502-517.

Journal article
Published: 27 July 2017 in Sustainability
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This research aims to test a scalable and transferable Geographic Information System (GIS)-based evaluation methodology for the identification, quantification and assessment of multi-functional landscape features. The evaluation of multi-functional features is one of the key tasks required when it comes to identifying the values that people attribute to landscapes, according to the principles of the European Landscape Convention. Mapping the static distribution of Landscape Services (LS) through data-derived estimates and performing spatial composite indicators are fundamental steps in understanding the current state of the Social–Ecological System (SES) of threatened or resilient landscapes. The methodological process is structured in four phases: intelligence (i), design (ii), choice (iii) and outcome (iv), according to the framework of the Multi-Criteria Spatial Decision Support System (MC-SDSS). This process has been implemented in the case study of the National Park of Cilento, Vallo di Diano and Alburni (Italy). The weighting of the spatial indicators, which simulates the model of LS-functioning for the study area, derives from an entropy-based method. Such a method, by which the weights are estimated without decisional agents, concerns a key-concept of information entropy theory, whereby the amount of information for each criterion determines its relative importance within a defined set of spatial criteria. The output of the model concerns mapping composite indicators of the LS; this involves the macro-categories of Regulating, Provisioning, and Cultural Services.

ACS Style

Maria Cerreta; Giuliano Poli. Landscape Services Assessment: A Hybrid Multi-Criteria Spatial Decision Support System (MC-SDSS). Sustainability 2017, 9, 1311 .

AMA Style

Maria Cerreta, Giuliano Poli. Landscape Services Assessment: A Hybrid Multi-Criteria Spatial Decision Support System (MC-SDSS). Sustainability. 2017; 9 (8):1311.

Chicago/Turabian Style

Maria Cerreta; Giuliano Poli. 2017. "Landscape Services Assessment: A Hybrid Multi-Criteria Spatial Decision Support System (MC-SDSS)." Sustainability 9, no. 8: 1311.

Journal article
Published: 06 February 2017 in Data
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The aim of the paper is to map and evaluate the state of the multifunctional landscape of the municipality of Naples (Italy) and its surroundings, through a Spatial Decision-Making support system (SDSS) combining geographic information system (GIS) and a multi-criteria method an analytic hierarchy process (AHP). We conceive a knowledge-mapping-evaluation (KME) framework in order to investigate the landscape as a complex system. The focus of the proposed methodology involving data gathering and processing. Therefore, both the authoritative and the unofficial sources, e.g., volunteered geographical information (VGI), are useful tools to enhance the information flow whenever quality assurance is performed. Thus, the maps of spatial criteria are useful for problem structuring and prioritization by considering the availability of context-aware data. Finally, the identification of landscape services (LS) and ecosystem services (ES) can improve the decision-making processes within a multi-stakeholders perspective involving the evaluation of the trade-off. The results show multi-criteria choropleth maps of the LS and ES with the density of services, the spatial distribution, and the surrounding benefits.

ACS Style

Roberta Mele; Giuliano Poli. The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †. Data 2017, 2, 9 .

AMA Style

Roberta Mele, Giuliano Poli. The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †. Data. 2017; 2 (1):9.

Chicago/Turabian Style

Roberta Mele; Giuliano Poli. 2017. "The Effectiveness of Geographical Data in Multi-Criteria Evaluation of Landscape Services †." Data 2, no. 1: 9.

Book chapter
Published: 01 July 2016 in Lecture Notes in Computer Science
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ACS Style

Maria Cerreta; Simona Panaro; Giuliano Poli. A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy). Lecture Notes in Computer Science 2016, 111 -124.

AMA Style

Maria Cerreta, Simona Panaro, Giuliano Poli. A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy). Lecture Notes in Computer Science. 2016; ():111-124.

Chicago/Turabian Style

Maria Cerreta; Simona Panaro; Giuliano Poli. 2016. "A Knowledge-Based Approach for the Implementation of a SDSS in the Partenio Regional Park (Italy)." Lecture Notes in Computer Science , no. : 111-124.

Conference paper
Published: 20 June 2015 in Algorithms and Data Structures
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The paper aims at the development of a Collaborative Multi-Criteria Spatial Decision Support System (C-MC SDSS) for the evaluation of multifunctional landscape according to a human smart perspective. The C-MC SDSS addresses landscape transformation and preservation processes, leading to consistent choices with the principles of local self-sustainable development, considering the decision-making environment as a heterogeneous field, where conflicting interests interplay. The methodological approach, implemented in the case study of the National Park of Cilento, Vallo di Diano and Alburni (Southern Italy) demonstrates that the inclusion of web-based data and common knowledge in MC-SDSSs is a major challenge. The multidimensional nature of the landscape evaluation requires a mutual understanding, communication and collaboration, allowing an expansion of the knowledge-base to sharpen questions and improving the quality of the decision process. The paper investigates potentials of a C-MC SDSS for supporting transparent and democratic decision processes, helpful in selecting landscape enhancement policies.

ACS Style

Raffaele Attardi; Maria Cerreta; Giuliano Poli. A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation. Algorithms and Data Structures 2015, 782 -797.

AMA Style

Raffaele Attardi, Maria Cerreta, Giuliano Poli. A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation. Algorithms and Data Structures. 2015; ():782-797.

Chicago/Turabian Style

Raffaele Attardi; Maria Cerreta; Giuliano Poli. 2015. "A Collaborative Multi-Criteria Spatial Decision Support System for Multifunctional Landscape Evaluation." Algorithms and Data Structures , no. : 782-797.

Conference paper
Published: 19 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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The paper provides a methodological framework in order to investigate, map and evaluate the landscape, understood as multi-dimensional complex system. A possible landscape knowledge-related approach seeks to recognize the landscape services spatial distribution on the territory. The management of multi-dimensional geospatial data, indeed, allows to face contemporary environmental matters regarding continuous biodiversity loss, ecological fragmentation and acceleration of climate change. The GIS provides helpful tools for systematization, management and analysis of spatial indicators, which describe and quantify the type of ecosystem and anthropic services. The paper proposes the development of a Spatial Decision-Making Support System (SDSS), in sync with GIS data-set and multi-criteria method AHP. The SDSS is useful to develop a landscape services thickness map and to define possible territorial transformation scenarios. The recognition of the landscape services can support the decision-making process referred to a sustainable management and planning, which are still an open investigation field.

ACS Style

Roberta Mele; Giuliano Poli. The Evaluation of Landscape Services: A New Paradigm for Sustainable Development and City Planning. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 64 -76.

AMA Style

Roberta Mele, Giuliano Poli. The Evaluation of Landscape Services: A New Paradigm for Sustainable Development and City Planning. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():64-76.

Chicago/Turabian Style

Roberta Mele; Giuliano Poli. 2015. "The Evaluation of Landscape Services: A New Paradigm for Sustainable Development and City Planning." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 64-76.

Conference paper
Published: 19 June 2015 in Algorithms and Data Structures
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The paper explores the consequences of resilience loss in some social-ecological components of Venice port-city in Italy and suggests integrated sustainable strategies on increasing their stress response capability. The urban model of Venice depends on two influential factors: the natural balance between land and water, and the social-economic dependence between mainland and islands. The authors adopt a broad framework of urban spaces and water environment, considering Venice as a complex regional unit, highly dynamic and sensitive. The adaptive balance historically reached by population and nature in Venice has been altered, because of a non-sustainable economic expansion, and tourism policy. The paper adopts a multi-dimensional approach, integrating the cognitive and evaluative dimensions with the technical and economic ones, in order to define possible strategies of action through Multi-Criteria Analysis and ANP method, able to play a strategic role in enhancing resilience at various scale.

ACS Style

Maria Cerreta; Daniele Cannatella; Giuliano Poli; Sabrina Sposito. Climate Change and Transformability Scenario Evaluation for Venice (Italy) Port-City Through ANP Method. Algorithms and Data Structures 2015, 50 -63.

AMA Style

Maria Cerreta, Daniele Cannatella, Giuliano Poli, Sabrina Sposito. Climate Change and Transformability Scenario Evaluation for Venice (Italy) Port-City Through ANP Method. Algorithms and Data Structures. 2015; ():50-63.

Chicago/Turabian Style

Maria Cerreta; Daniele Cannatella; Giuliano Poli; Sabrina Sposito. 2015. "Climate Change and Transformability Scenario Evaluation for Venice (Italy) Port-City Through ANP Method." Algorithms and Data Structures , no. : 50-63.

Journal article
Published: 01 July 2013 in International Journal of Agricultural and Environmental Information Systems
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The paper seeks to highlight how the character and values of marginal landscapes can be considered examples of the “third landscape” and how they can enable the mapping of tangible and intangible change (and its relative effects) through the selection of appropriate spatial indicators. A Dynamic Spatial Decision Support System was constructed to help identify the complex values characterizing a selected area in Naples’ marginal urban landscape. The System consists of a set of selected indicators that represent the area’s distinguishing characteristics with specific focus on its critical and potential factors. The formulation of spatial indicators helps identify the ecological, socio-economic and urban characteristics of the case-study area, along with their historic evolution over a specific time period. Time History Analysis (THA) enables the identification of permanent elements and transformations along with the relationships among the various urban landscape components over time. The synergistic interaction between the appropriately structured Geographic Information System (GIS) and the multi-criteria Analytic Hierarchy Process (AHP) method help to generate a complex values map of the analyzed landscape to support the definition and location of strategic actions.

ACS Style

Maria Cerreta; Giuliano Poli. A Complex Values Map of Marginal Urban Landscapes. International Journal of Agricultural and Environmental Information Systems 2013, 4, 41 -62.

AMA Style

Maria Cerreta, Giuliano Poli. A Complex Values Map of Marginal Urban Landscapes. International Journal of Agricultural and Environmental Information Systems. 2013; 4 (3):41-62.

Chicago/Turabian Style

Maria Cerreta; Giuliano Poli. 2013. "A Complex Values Map of Marginal Urban Landscapes." International Journal of Agricultural and Environmental Information Systems 4, no. 3: 41-62.

Conference paper
Published: 01 January 2013 in Computer Vision
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The objective of this study is to present the methodological process for the elaboration of a Spatial Multicriteria Assessment Decision Support System (SMCA-DSS) oriented to the definition of a Water Opportunity Map for a Naples Eastern Area, in Italy. The proposed approach extends the formalization of multicriteria methods and social network analysis in Geographical Information Systems (GIS), including spatial structure and temporal dynamics. The combined application can be useful in spatial decision making process for urban planning, supporting and modelling operations for urban land-use change. Analysing the opportunities for the storm-water management, the paper explores possible shared scenarios of transformations identifying the main effects on the local context.

ACS Style

Maria Cerreta; Fortuna De Rosa; Maria Di Palma; Pasquale Inglese; Giuliano Poli. A Spatial Multicriteria Assessment Decision Support System (SMCA-DSS) for East Naples: Towards a Water Opportunity Map. Computer Vision 2013, 572 -586.

AMA Style

Maria Cerreta, Fortuna De Rosa, Maria Di Palma, Pasquale Inglese, Giuliano Poli. A Spatial Multicriteria Assessment Decision Support System (SMCA-DSS) for East Naples: Towards a Water Opportunity Map. Computer Vision. 2013; ():572-586.

Chicago/Turabian Style

Maria Cerreta; Fortuna De Rosa; Maria Di Palma; Pasquale Inglese; Giuliano Poli. 2013. "A Spatial Multicriteria Assessment Decision Support System (SMCA-DSS) for East Naples: Towards a Water Opportunity Map." Computer Vision , no. : 572-586.