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Dr. Marco Locurcio
Department of Civil Engineering Sciences and Architecture, Polytechnic University of Bari, Via Orabona 4, 70125 Bari, Italy

Basic Info


Research Keywords & Expertise

0 Mass appraisal methods applied to the interpretation of the real estate markets
0 Multicriteria decision systems as support for valuations in uncertain contexts
0 Big data analysis for modeling and control approaches
0 Econometric analysis for the forecasting of real estate trends
0 GIS-based systems for the identification of spatial correlations among real estate factors

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Econometric analysis for the forecasting of real estate trends

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Journal article
Published: 02 June 2021 in Risks
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The economic crisis of 2008 has highlighted the ineffectiveness of the banks in their disbursement of mortgages which caused the spread of Non-Performing Loans (NPLs) with underlying real estate. With the methods stated by the Basel III agreements, aimed at improving the capital requirements of banks and determining an adequate regulatory capital, the banks without the skills required have difficulties in applying the rigid weighting coefficients structures. The aim of the work is to identify a synthetic risk index through the participatory process, in order to support the restructuring debt operations to benefit smaller banks and small and medium-sized enterprises (SME), by analyzing the real estate credit risk. The proposed synthetic risk index aims at overcoming the complexity of Basel III methodologies through the implementation of three different multi-criteria techniques. In particular, the integration of objective financial variables with subjective expert judgments into a participatory process is not that common in the reference literature and brings its benefits for reaching more approved and shared results in the debt restructuring operations procedure. Moreover, the main findings derived by the application to a real case study have demonstrated how important it is for the credit manager to have an adequate synthetic index that could lead to the avoidance of risky scenarios where several modalities to repair the credit debt occur.

ACS Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Debora Anelli; Benedetto Manganelli. Credit Risk Management of Property Investments through Multi-Criteria Indicators. Risks 2021, 9, 106 .

AMA Style

Marco Locurcio, Francesco Tajani, Pierluigi Morano, Debora Anelli, Benedetto Manganelli. Credit Risk Management of Property Investments through Multi-Criteria Indicators. Risks. 2021; 9 (6):106.

Chicago/Turabian Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Debora Anelli; Benedetto Manganelli. 2021. "Credit Risk Management of Property Investments through Multi-Criteria Indicators." Risks 9, no. 6: 106.

Editorial
Published: 22 April 2021 in Sustainability
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Production and consumption activities have determined a weakness of the sustainable real estate economy

ACS Style

Pierfrancesco De Paola; Francesco Tajani; Marco Locurcio. Sustainable Real Estate: Management, Assessment and Innovations. Sustainability 2021, 13, 4676 .

AMA Style

Pierfrancesco De Paola, Francesco Tajani, Marco Locurcio. Sustainable Real Estate: Management, Assessment and Innovations. Sustainability. 2021; 13 (9):4676.

Chicago/Turabian Style

Pierfrancesco De Paola; Francesco Tajani; Marco Locurcio. 2021. "Sustainable Real Estate: Management, Assessment and Innovations." Sustainability 13, no. 9: 4676.

Chapter
Published: 11 August 2020 in Smart and Sustainable Planning for Cities and Regions
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Following the approval of the Basel capital adequacy framework, the credit institutions had to adapt their skills to determine regulatory capital. In this regard, the methodologies defined by the Third Basel Accord [2] have some limits concerning the subjectivity of some aspects and the complexity of the valuation models, especially for the smaller credit institutions that lack suitable corporate structures capable of efficiently applying the established procedures. In order to overcome these issues, the Income Producing Real Estate Risk Index (\(I_{IPRE,risk}\)) is proposed in this work to provide a synthetic index of multi-criteria derivation as a useful reference in the decision-making processes relating to restructuring and debt relief operations.

ACS Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Debora Anelli. A Multi-criteria Decision Analysis for the Assessment of the Real Estate Credit Risks. Smart and Sustainable Planning for Cities and Regions 2020, 327 -337.

AMA Style

Marco Locurcio, Francesco Tajani, Pierluigi Morano, Debora Anelli. A Multi-criteria Decision Analysis for the Assessment of the Real Estate Credit Risks. Smart and Sustainable Planning for Cities and Regions. 2020; ():327-337.

Chicago/Turabian Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Debora Anelli. 2020. "A Multi-criteria Decision Analysis for the Assessment of the Real Estate Credit Risks." Smart and Sustainable Planning for Cities and Regions , no. : 327-337.

Journal article
Published: 20 July 2020 in Sustainability
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The financial transmission of the USA's housing price bubble has highlighted the inadequacy of the valuation methods adopted by the credit institutions, due to their static nature and inability to understand complex socio-economic dynamics and their related effects on the real estate market. The present research deals with the current issue of using Automated Valuation Methods for expeditious assessments in order to monitor and forecast market evolutions in the short and medium term. The paper aims to propose an evaluative model for the corporate market segment, in order to support the investors’, the credit institutions’ and the public entities’ decision processes. The application of the proposed model to the corporate real estate segment market of the cities of Rome and Milan (Italy) outlines the potentialities of this approach in property big data management. The elaboration of input and output data in the GIS (Geographic Information System) environment allowed the development of an intuitive platform for the immediate representation of the results and their easy interpretation, even to non-expert users.

ACS Style

Marco Locurcio; Pierluigi Morano; Francesco Tajani; Felicia Di Liddo. An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context. Sustainability 2020, 12, 5836 .

AMA Style

Marco Locurcio, Pierluigi Morano, Francesco Tajani, Felicia Di Liddo. An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context. Sustainability. 2020; 12 (14):5836.

Chicago/Turabian Style

Marco Locurcio; Pierluigi Morano; Francesco Tajani; Felicia Di Liddo. 2020. "An Innovative GIS-Based Territorial Information Tool for the Evaluation of Corporate Properties: An Application to the Italian Context." Sustainability 12, no. 14: 5836.

Editorial
Published: 09 July 2020 in Complexity
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Over the last few decades, as a result of the serious economic and financial crisis that has affected the USA and most European countries, there has been an increasing need for tools that provide reliable mass appraisals. The crisis was triggered by the drastic price reduction of properties as securities for credit exposures, characterized by values that, at the time of the sale due to the debtor’s default, had revealed a real market price that made it impossible for the banks to recover the loaned capital.

ACS Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano. Computational Methods Applied to Data Analysis for Modeling Complex Real Estate Systems. Complexity 2020, 2020, 1 -3.

AMA Style

Marco Locurcio, Francesco Tajani, Pierluigi Morano. Computational Methods Applied to Data Analysis for Modeling Complex Real Estate Systems. Complexity. 2020; 2020 ():1-3.

Chicago/Turabian Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano. 2020. "Computational Methods Applied to Data Analysis for Modeling Complex Real Estate Systems." Complexity 2020, no. : 1-3.

Journal article
Published: 28 June 2019 in Sustainability
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The cogency of evaluation models able to predict future trends and to monitor the consequences of scenarios different from those initially expected has been determining a growing scientific interest for the development of financial sustainability methods. With reference to quarterly time series collected for the metropolitan area of five Spanish cities, in this research an innovative methodology has been implemented, in order to make explicit, for each case study, the main functional relationships between the housing prices and the socio-economic factors. The models obtained are characterized by both high statistical performance and compliance with the expected market phenomena, highlighting the decisive role in the housing price formation of the factors that indirectly represent the population’s income capacity (market rents, unemployment level, mortgages). Then, an empirical procedure for the construction of the future property value trends has been developed. The results point out the forecasting and monitoring potentialities of the methodology used, as a fundamental decision support tool in the urban planning policies of the local administrations, interested in anticipating and checking future housing bubbles through appropriate economic policies, and for private operators, in the phases of selection of the most attractive territorial areas for new property realizations.

ACS Style

Francesco Tajani; Pierluigi Morano; Maria Paz Saez-Perez; Felicia Di Liddo; Marco Locurcio. Multivariate Dynamic Analysis and Forecasting Models of Future Property Bubbles: Empirical Applications to the Housing Markets of Spanish Metropolitan Cities. Sustainability 2019, 11, 3575 .

AMA Style

Francesco Tajani, Pierluigi Morano, Maria Paz Saez-Perez, Felicia Di Liddo, Marco Locurcio. Multivariate Dynamic Analysis and Forecasting Models of Future Property Bubbles: Empirical Applications to the Housing Markets of Spanish Metropolitan Cities. Sustainability. 2019; 11 (13):3575.

Chicago/Turabian Style

Francesco Tajani; Pierluigi Morano; Maria Paz Saez-Perez; Felicia Di Liddo; Marco Locurcio. 2019. "Multivariate Dynamic Analysis and Forecasting Models of Future Property Bubbles: Empirical Applications to the Housing Markets of Spanish Metropolitan Cities." Sustainability 11, no. 13: 3575.

Conference paper
Published: 19 May 2018 in Blockchain Technology and Innovations in Business Processes
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The regeneration of the urban peripheral areas is undoubtedly among the most complex issues with which the Public Administrations are currently facing. Different interests, often conflicting, coming from citizens, entrepreneurs and stakeholders, focus on these areas. In the present research a fuzzy multi-criteria decision model is proposed, as support of the Public Administration in the analysis of different scenarios, referred to different temporal moments. The application to four different urban peripheries located in the metropolitan area of Rome (Italy) highlights the potentialities of this model. The representation of the results through a radar diagram and a histogram makes them easily intelligible also by non-expert subjects.

ACS Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Carmelo Maria Torre. A Fuzzy Multi-criteria Decision Model for the Regeneration of the Urban Peripheries. Blockchain Technology and Innovations in Business Processes 2018, 681 -690.

AMA Style

Marco Locurcio, Francesco Tajani, Pierluigi Morano, Carmelo Maria Torre. A Fuzzy Multi-criteria Decision Model for the Regeneration of the Urban Peripheries. Blockchain Technology and Innovations in Business Processes. 2018; ():681-690.

Chicago/Turabian Style

Marco Locurcio; Francesco Tajani; Pierluigi Morano; Carmelo Maria Torre. 2018. "A Fuzzy Multi-criteria Decision Model for the Regeneration of the Urban Peripheries." Blockchain Technology and Innovations in Business Processes , no. : 681-690.

Conference paper
Published: 19 May 2018 in Blockchain Technology and Innovations in Business Processes
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With reference to the public-private partnership procedures for the enhancement of the public property assets, in this paper an innovative methodology for assessing the financial conveniences of the parties involved (private investor and Public Administration) is proposed. The developed method borrows the most widely-used evaluation criteria for the verification of the investment financial sustainability, and through basic logical assumptions, it allows to define combinations of the financial performance indicators easily interpretable by the parties involved and to be used in the negotiation phases. The aim is to provide a rapid tool for the verification of the investment financial viability, through an original interpretation of the classic DCFA evaluation criteria, that could be more relevant to the typology of public-private partnership agreements for the territorial regeneration.

ACS Style

Francesco Tajani; Pierluigi Morano; Felicia Di Liddo; Marco Locurcio. An Innovative Interpretation of the DCFA Evaluation Criteria in the Public-Private Partnership for the Enhancement of the Public Property Assets. Blockchain Technology and Innovations in Business Processes 2018, 305 -313.

AMA Style

Francesco Tajani, Pierluigi Morano, Felicia Di Liddo, Marco Locurcio. An Innovative Interpretation of the DCFA Evaluation Criteria in the Public-Private Partnership for the Enhancement of the Public Property Assets. Blockchain Technology and Innovations in Business Processes. 2018; ():305-313.

Chicago/Turabian Style

Francesco Tajani; Pierluigi Morano; Felicia Di Liddo; Marco Locurcio. 2018. "An Innovative Interpretation of the DCFA Evaluation Criteria in the Public-Private Partnership for the Enhancement of the Public Property Assets." Blockchain Technology and Innovations in Business Processes , no. : 305-313.

Journal article
Published: 24 January 2018 in International Journal of Housing Markets and Analysis
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Purpose This paper aims to test and compare two innovative methodologies (utility additive and evolutionary polynomial regression) for mass appraisal of residential properties. The aim is to deepen their characteristics, by exploring the potentialities and the operating limits. Design/methodology/approach With reference to the same case studies, concerning samples of residential properties recently sold in three Italian cities, the two procedures are tested and the results are compared. The first method is the utility additive, which interprets the process of the property price formation as a multi-criteria selection of multi-objective typology, where the selection criteria are the property characteristics that are decisive in the real estate market; the second method is a hybrid data-driven technique, called evolutionary polynomial regression, that uses multi-objective genetic algorithms to search those models expressions that simultaneously maximize accuracy of data and parsimony of mathematical functions. Findings The outputs obtained from the experimentation highlight the potentialities and the limits of the two methodologies, as well as the possibility of jointly applying them to interpret and predict the real estate phenomena in a more realistic representation. Originality value In all countries, mass appraisal techniques have become strategic for the definition of management and enhancement policies of public and private property assets, in the case of investments of technical and economic refunctionalization (energy, environment, etc.), and for the alienation of buildings no longer suitable for public needs (military barracks, hospitals, areas in disuse, etc.). In this context, the use of mass appraisal techniques for residential properties assumes a leading role for sector operators (buyers, sellers, institutions, insurance companies, banks, real estate funds, etc.). Therefore, the results of the applications outline the potentialities of the two methodologies implemented and the opportunity of further insights of the topics that have been dealt with in this research.

ACS Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. Multicriteria analysis and genetic algorithms for mass appraisals in the Italian property market. International Journal of Housing Markets and Analysis 2018, 11, 229 -262.

AMA Style

Pierluigi Morano, Francesco Tajani, Marco Locurcio. Multicriteria analysis and genetic algorithms for mass appraisals in the Italian property market. International Journal of Housing Markets and Analysis. 2018; 11 (2):229-262.

Chicago/Turabian Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. 2018. "Multicriteria analysis and genetic algorithms for mass appraisals in the Italian property market." International Journal of Housing Markets and Analysis 11, no. 2: 229-262.

Journal article
Published: 01 April 2017 in Renewable and Sustainable Energy Reviews
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ACS Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. GIS application and econometric analysis for the verification of the financial feasibility of roof-top wind turbines in the city of Bari (Italy). Renewable and Sustainable Energy Reviews 2017, 70, 999 -1010.

AMA Style

Pierluigi Morano, Francesco Tajani, Marco Locurcio. GIS application and econometric analysis for the verification of the financial feasibility of roof-top wind turbines in the city of Bari (Italy). Renewable and Sustainable Energy Reviews. 2017; 70 ():999-1010.

Chicago/Turabian Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. 2017. "GIS application and econometric analysis for the verification of the financial feasibility of roof-top wind turbines in the city of Bari (Italy)." Renewable and Sustainable Energy Reviews 70, no. : 999-1010.

Journal article
Published: 01 January 2016 in International Journal of Business Intelligence and Data Mining
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The need for evaluation models capable of returning 'slender' and reliable mass appraisals of properties belonging to different market segments has been made mandatory by the events that are covering the global real estate finance, because of the emergence of non-performing loans in the banks' balance sheets. In Italy, the non-performing loans have been estimated by the Italian Banking Association equal to about 300 billion euro in 2014. In the present paper, three approaches of data-driven techniques (hedonic price model, artificial neural networks and evolutionary polynomial regression) have been applied to a sample of residential apartments recently sold in a district of the city of Bari (Italy), in order to test the respective performance for mass appraisals. The models obtained by the implementation of the three procedures have been compared in terms of statistical accuracy, empirical compliance of the results and complexity of the functional relationships.

ACS Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Carmelo Maria Torre. Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy). International Journal of Business Intelligence and Data Mining 2016, 11, 109 -129.

AMA Style

Francesco Tajani, Pierluigi Morano, Marco Locurcio, Carmelo Maria Torre. Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy). International Journal of Business Intelligence and Data Mining. 2016; 11 (2):109-129.

Chicago/Turabian Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Carmelo Maria Torre. 2016. "Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy)." International Journal of Business Intelligence and Data Mining 11, no. 2: 109-129.

Journal article
Published: 01 January 2016 in International Journal of Business Intelligence and Data Mining
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International publishers of academic, scientific and professional journals since 1979.

ACS Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Carmelo Maria Torre. Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy). International Journal of Business Intelligence and Data Mining 2016, 1, 1 .

AMA Style

Francesco Tajani, Pierluigi Morano, Marco Locurcio, Carmelo Maria Torre. Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy). International Journal of Business Intelligence and Data Mining. 2016; 1 (1):1.

Chicago/Turabian Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Carmelo Maria Torre. 2016. "Data-driven techniques for mass appraisals. Applications to the residential market of the city of Bari (Italy)." International Journal of Business Intelligence and Data Mining 1, no. 1: 1.

Journal article
Published: 01 October 2015 in International Journal of Agricultural and Environmental Information Systems
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In the paper an analysis of functional correlations of property prices with the main locational and socio-economic variables, which generally contribute to define the market value of properties, has been developed. Locational characteristics are represented by the surfaces of soil used for the main functions, borrowing the logic of the system of classification of CORINE Land Cover (European Commission). The analysis has been contextualized to the 258 municipalities of the Apulia region (Southern Italy), and has been referred to two different moments (years 2006 and 2011), and two different market segments (residential and retail). The functional relationships between property prices and explanatory variables considered, estimated through a software that implements a genetic algorithm, are particularly interesting. The methodology outlined constitutes a valuable reference for the definition of models aimed at supporting, in a more rational and convenient way, public planning decisions and private investment choices.

ACS Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. Land Use, Economic Welfare and Property Values. International Journal of Agricultural and Environmental Information Systems 2015, 6, 16 -39.

AMA Style

Pierluigi Morano, Francesco Tajani, Marco Locurcio. Land Use, Economic Welfare and Property Values. International Journal of Agricultural and Environmental Information Systems. 2015; 6 (4):16-39.

Chicago/Turabian Style

Pierluigi Morano; Francesco Tajani; Marco Locurcio. 2015. "Land Use, Economic Welfare and Property Values." International Journal of Agricultural and Environmental Information Systems 6, no. 4: 16-39.

Conference paper
Published: 20 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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This paper describes a methodology for analyzing the feasibility of a system of minor airports designed to increase the use of air travel for short trips in Italy. The study starts with an analysis of Italian territory and the positioning of its minor airports; the database of the Geographical Information System (GIS) provided by Italy’s National Institute of Statistics (ISTAT) is sued to describe the country’s main geographical and economic features. A multi-criteria decision analysis (MCDA) is developed for processing the dataset and creating a platform shared by all stakeholders. Thanks to the Spatial Multi-Criteria Analysis (SDSS) arrived at, it is possible to localize the best position for new minor airports and to formulate strategies for improving existing ones.

ACS Style

Maria Rosaria Guarini; Marco Locurcio; Fabrizio Battisti. GIS-Based Multi-criteria Decision Analysis for the “Highway in the Sky”. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 146 -161.

AMA Style

Maria Rosaria Guarini, Marco Locurcio, Fabrizio Battisti. GIS-Based Multi-criteria Decision Analysis for the “Highway in the Sky”. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():146-161.

Chicago/Turabian Style

Maria Rosaria Guarini; Marco Locurcio; Fabrizio Battisti. 2015. "GIS-Based Multi-criteria Decision Analysis for the “Highway in the Sky”." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 146-161.

Conference paper
Published: 20 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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In the current economic situation, characterized by a high uncertainty in the appraisal of property values, the need of “slender” models able to operate even on limited data, to automatically capture the causal relations between explanatory variables and selling prices and to predict property values in the short term, is increasingly widespread. In addition to Artificial Neural Networks (ANN), that satisfy these prerogatives, recently, in some fields of Civil Engineering an hybrid data-driven technique has been implemented, called Evolutionary Polynomial Regression (EPR), that combines the effectiveness of Genetic Programming with the advantage of classical numerical regression. In the present paper, ANN methods and the EPR procedure are compared for the construction of estimation models of real estate market values. With reference to a sample of residential apartments recently sold in a district of the city of Bari (Italy), two estimation models of market value are implemented, one based on ANN and another using EPR, in order to test the respective performance. The analysis has highlighted the preferability of the EPR model in terms of statistical accuracy, empirical verification of results obtained and reduction of the complexity of the mathematical expression.

ACS Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Nicola D’Addabbo. Property Valuations in Times of Crisis: Artificial Neural Networks and Evolutionary Algorithms in Comparison. Transactions on Petri Nets and Other Models of Concurrency XV 2015, 194 -209.

AMA Style

Francesco Tajani, Pierluigi Morano, Marco Locurcio, Nicola D’Addabbo. Property Valuations in Times of Crisis: Artificial Neural Networks and Evolutionary Algorithms in Comparison. Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():194-209.

Chicago/Turabian Style

Francesco Tajani; Pierluigi Morano; Marco Locurcio; Nicola D’Addabbo. 2015. "Property Valuations in Times of Crisis: Artificial Neural Networks and Evolutionary Algorithms in Comparison." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 194-209.

Conference paper
Published: 20 June 2015 in Transactions on Petri Nets and Other Models of Concurrency XV
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In this paper the financial feasibility in the installation of roof-top wind turbines in the territory of the city of Bari (Italy) has been analyzed. The elaborations carried out have allowed to define “wind” maps, in terms of annual mean wind speed and annual energy production, and evaluative maps, in terms of total profit for the investor and land lease values of the flat roofs of existing buildings. The thematic maps generated constitute a primary support for the operators interested in taking advantage of European resources and/or the incentives offered by energy regulations for the installation of roof-top wind turbines and identifying the areas characterized by higher yields. Furthermore, the model obtained provides investors and flat roofs’ owners motivated and contextualized economic values, referred to the local wind power capacities of the areas in which the installation of roof-top wind turbines is financially convenient.

ACS Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani. Energy Production Through Roof-Top Wind Turbines A GIS-Based Decision Support Model for Planning Investments in the City of Bari (Italy). Transactions on Petri Nets and Other Models of Concurrency XV 2015, 104 -119.

AMA Style

Pierluigi Morano, Marco Locurcio, Francesco Tajani. Energy Production Through Roof-Top Wind Turbines A GIS-Based Decision Support Model for Planning Investments in the City of Bari (Italy). Transactions on Petri Nets and Other Models of Concurrency XV. 2015; ():104-119.

Chicago/Turabian Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani. 2015. "Energy Production Through Roof-Top Wind Turbines A GIS-Based Decision Support Model for Planning Investments in the City of Bari (Italy)." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 104-119.

Journal article
Published: 01 January 2015 in International Journal of Business Intelligence and Data Mining
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In the decision-making process of urban regeneration projects, the lack of transparency is one of the most frequent causes of the deceleration and the stopping of initiatives. In the present work, with reference to a multi-criteria model recently developed for the municipality of Rome (Italy), a solution to this issue has been proposed. Borrowing the formal logic of fuzzy systems, the possibility to assign a different importance to the parameters which explain the objectives of the redevelopment, to compare the projects submitted by different operators, as well as to make it clear the phase in which the public administration evaluates the priorities of the projects, has been introduced. A measure of the coherence of the projects submitted by private operators with the importance of the objectives of redevelopment set by the public administration has been computed. The result is a flexible structure of the algorithm developed, able to adapt to the specificities of the case study and to the changes that, over time, could arise in the evaluation mechanism of the decision maker.

ACS Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani; Maria Rosaria Guarini. Fuzzy logic and coherence control in multi-criteria evaluation of urban redevelopment projects. International Journal of Business Intelligence and Data Mining 2015, 10, 73 -93.

AMA Style

Pierluigi Morano, Marco Locurcio, Francesco Tajani, Maria Rosaria Guarini. Fuzzy logic and coherence control in multi-criteria evaluation of urban redevelopment projects. International Journal of Business Intelligence and Data Mining. 2015; 10 (1):73-93.

Chicago/Turabian Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani; Maria Rosaria Guarini. 2015. "Fuzzy logic and coherence control in multi-criteria evaluation of urban redevelopment projects." International Journal of Business Intelligence and Data Mining 10, no. 1: 73-93.

Conference paper
Published: 01 January 2014 in Transactions on Petri Nets and Other Models of Concurrency XV
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ACS Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani; Maria Rosaria Guarini. Urban Redevelopment: A Multi-criteria Valuation Model Optimized through the Fuzzy Logic. Transactions on Petri Nets and Other Models of Concurrency XV 2014, 161 -175.

AMA Style

Pierluigi Morano, Marco Locurcio, Francesco Tajani, Maria Rosaria Guarini. Urban Redevelopment: A Multi-criteria Valuation Model Optimized through the Fuzzy Logic. Transactions on Petri Nets and Other Models of Concurrency XV. 2014; ():161-175.

Chicago/Turabian Style

Pierluigi Morano; Marco Locurcio; Francesco Tajani; Maria Rosaria Guarini. 2014. "Urban Redevelopment: A Multi-criteria Valuation Model Optimized through the Fuzzy Logic." Transactions on Petri Nets and Other Models of Concurrency XV , no. : 161-175.