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Prof. Elena Fregonara
Politecnico di Torino, Viale Mattioli 39, 10125, Turin, Italy

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0 Econometrics
0 Risk Analysis
0 real estate appraisal
0 Life Cycle Cost
0 Economic evaluation of projects, economic sustainability

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Life Cycle Cost
Risk Analysis
Economic evaluation of projects, economic sustainability
real estate appraisal

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Journal article
Published: 05 March 2021 in Sustainability
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The influence of building or dwelling energy performance on the real estate market dynamics and pricing processes is deeply explored, due to the fact that energy efficiency improvement is one of the fundamental reasons for retrofitting the existing housing stock. Nevertheless, the joint effect produced by the building energy performance and the architectural, typological, and physical-technical attributes seems poorly studied. Thus, the aim of this work is to investigate the influence of both energy performance and diverse features on property prices, by performing spatial analyses on a sample of housing properties listed on Turin’s real estate market and on different sub-samples. In particular, Exploratory Spatial Data Analyses (ESDA) statistics, standard hedonic price models (Ordinary Least Squares—OLS) and Spatial Error Models (SEM) are firstly applied on the whole data sample, and then on three different sub-samples: two territorial clusters and a sub-sample representative of the most energy inefficient buildings constructed between 1946 and 1990. Results demonstrate that Energy Performance Certificate (EPC) labels are gaining power in influencing price variations, contrary to the empirical evidence that emerged in some previous studies. Furthermore, the presence of the spatial effects reveals that the impact of energy attributes changes in different sub-markets and thus has to be spatially analysed.

ACS Style

Alice Barreca; Elena Fregonara; Diana Rolando. EPC Labels and Building Features: Spatial Implications over Housing Prices. Sustainability 2021, 13, 2838 .

AMA Style

Alice Barreca, Elena Fregonara, Diana Rolando. EPC Labels and Building Features: Spatial Implications over Housing Prices. Sustainability. 2021; 13 (5):2838.

Chicago/Turabian Style

Alice Barreca; Elena Fregonara; Diana Rolando. 2021. "EPC Labels and Building Features: Spatial Implications over Housing Prices." Sustainability 13, no. 5: 2838.

Conference paper
Published: 01 September 2020 in Blockchain Technology and Innovations in Business Processes
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The aim of this work is to evince the advantages of a synergic application of energy and economic analyses to orient design strategies, exploring the impacts of the territorial location in relation to energy consumptions, maintenance costs, prices and market variability. Centrality is posed on energy efficiency of buildings, in terms of energy consumption reduction and of optimal planning maintenance activities to reduce the replacement costs and to enhance the durability of components. For simulating the effects of the projects’ potential location on energy and economic input data, uncertainty is modeled as a proxy of the territorial variations in the joint energy-economic analysis. In the methodology presented, the stochastic Global Cost calculation represents the core. In turn, the Global Cost (EN 15459-1:2017) is considered the core of the Life Cycle Cost Analysis (ISO 15686: 2017, Part 5). Assuming the results of a previous step of research, in this work the Global Cost calculation is conducted considering both the running costs and the maintenance costs components, in stochastic terms. The Probability Analysis is applied for calculating the effects of uncertainty in costs and assuming different climate conditions. These lasts are represented with reference to the Italian territory, and specifically to 7978 Italian Municipalities and the related climate zones. The methodology assumes the results of a preliminary step of energy analysis, in which a massive set of dynamic energy simulations by EnergyPlus of a sample office unit is produced, by varying its location and related envelope thermal insulation levels.

ACS Style

Elena Fregonara; Diego Giuseppe Ferrando; Giacomo Chiesa. Economic Valuation of Buildings Sustainability with Uncertainty in Costs and in Different Climate Conditions. Blockchain Technology and Innovations in Business Processes 2020, 1217 -1226.

AMA Style

Elena Fregonara, Diego Giuseppe Ferrando, Giacomo Chiesa. Economic Valuation of Buildings Sustainability with Uncertainty in Costs and in Different Climate Conditions. Blockchain Technology and Innovations in Business Processes. 2020; ():1217-1226.

Chicago/Turabian Style

Elena Fregonara; Diego Giuseppe Ferrando; Giacomo Chiesa. 2020. "Economic Valuation of Buildings Sustainability with Uncertainty in Costs and in Different Climate Conditions." Blockchain Technology and Innovations in Business Processes , no. : 1217-1226.

Journal article
Published: 06 April 2020 in Sustainability
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Service life estimate is crucial for evaluating the economic and environmental sustainability of projects, by means—adopting a life cycle perspective—of the Life Cycle Cost Analysis (LCCA). Service life, in turn, is strictly correlated to maintenance investment and planning activities, in view of building/building component/system/infrastructure products’ durability requirements, and in line with the environmental-energy policies, transposed into EU guidelines and regulations. Focusing on the use-maintenance-adaptation stage in the constructions’ life cycle, the aim of this work is to propose a methodology for supporting the “optimal maintenance planning” in function of life cycle costs, assuming the presence of financial constraints. A first research step is proposed for testing the economic sustainability of different project options, at the component scale, which imply different cost items and different maintenance-replacement interventions over time. The methodology is based on the Annuity Method, or Equivalent Annual Cost approach, as defined by the norm EN 15459-1:2017. The method, poorly explored in the literature, is proposed here as an alternative to the Global Cost approach (illustrated in the norm as well). Due to the presence of uncertainty correlated to deterioration processes and market variability, the stochastic Annuity Method is modeled by introducing flexibility in input data. Thus, with the support of Probability Analysis and the Monte Carlo Method (MCM), the stochastic LCCA, solved through the stochastic Equivalent Annual Cost, is used for the economic assessment of different maintenance scenarios. Two different components of an office building project (a timber and an aluminum frame), are assumed as a case for the simulation. The methodology intends to support decisions not only in the design phases, but also in the post-construction ones. Furthermore, it opens to potential applications in reinforced concrete infrastructures’ stock, which is approaching, as a considerable portion of the building stock, its end-of-life stage.

ACS Style

Elena Fregonara; Diego Giuseppe Ferrando. The Stochastic Annuity Method for Supporting Maintenance Costs Planning and Durability in the Construction Sector: A Simulation on a Building Component. Sustainability 2020, 12, 2909 .

AMA Style

Elena Fregonara, Diego Giuseppe Ferrando. The Stochastic Annuity Method for Supporting Maintenance Costs Planning and Durability in the Construction Sector: A Simulation on a Building Component. Sustainability. 2020; 12 (7):2909.

Chicago/Turabian Style

Elena Fregonara; Diego Giuseppe Ferrando. 2020. "The Stochastic Annuity Method for Supporting Maintenance Costs Planning and Durability in the Construction Sector: A Simulation on a Building Component." Sustainability 12, no. 7: 2909.

Conference paper
Published: 27 October 2019 in Blockchain Technology and Innovations in Business Processes
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The aim of this paper is to highlight the potentialities of a synergic application of energy analysis and economic analysis for supporting design strategies, considering the effects of the territorial location in terms of energy consumptions and prices/market variations. In order to simulate the effects of the specific projects’ potential location on energy and economic input data, uncertainty is introduced as a proxy in the conjoint energy and economic analysis. A two-phases methodology is proposed, considering, first, a massive set of dynamic energy simulations by EnergyPlus of a sample office unit by varying, in this first step of the research, its location and related envelope thermal insulation levels. Minimal U-values are assumed for each simulation according to the local climate zone in accordance to DM 26.06.15, while simulated energy needs for space heating and cooling are analyzed by using a devoted python script. Second, a stochastic Global Cost calculation is proposed, considering the Global Cost (EN 15459:2007) the fundamental of the Life Cycle Cost Analysis (ISO 15686: 2008, Part 5). In this first step of the work, focus is posed at the Global Cost calculation considering solely the running costs component, in stochastic terms. The Probability Analysis solved through the Monte Carlo Method is used to represent the possible effects of uncertainty on the “energy-economic items” definition, affecting the NPVs results. The Italian territory is considered including 7978 Italian Municipalities and the related climate zones.

ACS Style

Giacomo Chiesa; Elena Fregonara. Energy and Economic Analyses for Supporting Early Design Stages: Introducing Uncertainty in Simulations. Blockchain Technology and Innovations in Business Processes 2019, 49 -60.

AMA Style

Giacomo Chiesa, Elena Fregonara. Energy and Economic Analyses for Supporting Early Design Stages: Introducing Uncertainty in Simulations. Blockchain Technology and Innovations in Business Processes. 2019; ():49-60.

Chicago/Turabian Style

Giacomo Chiesa; Elena Fregonara. 2019. "Energy and Economic Analyses for Supporting Early Design Stages: Introducing Uncertainty in Simulations." Blockchain Technology and Innovations in Business Processes , no. : 49-60.

Chapter
Published: 07 August 2019 in Smart and Sustainable Planning for Cities and Regions
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The aim of this paper is to propose a methodology for supporting decision making processes in urban regeneration projects. Focus is posed on economic–environmental sustainability evaluation of building retrofit projects, at district scale, in presence of risk and uncertainty. An application of a conjoint Probability Analysis with Life-Cycle Cost Analysis (LCCA) is proposed for selecting the preferable solution between technological alternative scenarios with different energy production systems. The model input (cost drivers) and model output (Global Cost) are expressed in stochastic terms. A complex project is proposed as a case-study: a social-housing district in a town in Northern Italy.

ACS Style

Elena Fregonara; Diego Giuseppe Ferrando; Corrado Carbonaro. Cost-Risk Analysis for Supporting Urban Regeneration Technological Projects. Smart and Sustainable Planning for Cities and Regions 2019, 403 -423.

AMA Style

Elena Fregonara, Diego Giuseppe Ferrando, Corrado Carbonaro. Cost-Risk Analysis for Supporting Urban Regeneration Technological Projects. Smart and Sustainable Planning for Cities and Regions. 2019; ():403-423.

Chicago/Turabian Style

Elena Fregonara; Diego Giuseppe Ferrando; Corrado Carbonaro. 2019. "Cost-Risk Analysis for Supporting Urban Regeneration Technological Projects." Smart and Sustainable Planning for Cities and Regions , no. : 403-423.

Journal article
Published: 04 June 2019 in Sustainability
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In Italy, it has always been difficult to collect reliable data on real estate given the opacity of the information available. Keeping into consideration the actual availability of data and information, the possibility to have a structure for permanently monitoring and analysing the real estate market is fundamental. Focusing on developing and disseminating knowledge related to practices in this context, in this paper the Turin’s (Northern Italy) experience is presented, through the Real Estate Market Observatory (TREMO): This structure is based on a data-warehouse, implemented over time, with databases that lead to historic price observations of the residential market. The data warehouse is the basis for investigating methodologies and analyses, assuming the spatial requisites of the data and its georeferencing as the main discriminant in choosing among descriptive statistics, multi-varied or spatial analysis methods. In twenty years, several studies have been developed, allowing us not only to explore the applicability of models and operative modalities, but also to obtain results with a high potential impact under a social viewpoint. In this paper, the methodologies developed for implementing the monitoring structure are presented, specifically the “quality process” and computerized analysis procedures, followed by some representative research experiences with reference to aims, models and results.

ACS Style

Rocco Curto; Elena Fregonara. Monitoring and Analysis of the Real Estate Market in a Social Perspective: Results from the Turin’s (Italy) Experience. Sustainability 2019, 11, 3150 .

AMA Style

Rocco Curto, Elena Fregonara. Monitoring and Analysis of the Real Estate Market in a Social Perspective: Results from the Turin’s (Italy) Experience. Sustainability. 2019; 11 (11):3150.

Chicago/Turabian Style

Rocco Curto; Elena Fregonara. 2019. "Monitoring and Analysis of the Real Estate Market in a Social Perspective: Results from the Turin’s (Italy) Experience." Sustainability 11, no. 11: 3150.

Journal article
Published: 11 October 2018 in Sustainability
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The durability of components is characterized by uncertainty, and, consequently, their estimated service life is critical for building project evaluation. Data on the durability of components used as life cycle cost analysis (LCCA) model input are able to influence model construction, model outputs, and residual value calculations. This implies dealing with uncertainty in cost estimates, according to the real estate market dynamics and the economic trends of the construction sector, and in service life estimates during the project time-horizon. This paper acknowledges the methodology presented in previous studies, based on the stochastic global cost calculation. The aim is to propose a methodological step forward by introducing flexibility over time in model input, through a stochastic approach to the Factor Method (FM). This represents an advancement in respect to the FM normed by ISO 15686—part 1:2000. Two different frames, timber and aluminum, as components of a glass façade of an office building project (located in Turin, Northern Italy), are proposed as a case study. The results give full evidence of the capacity of lifespan variables to affect the global cost calculation, overcoming the effects of environmental and financial elements, in contrast with the consolidated literature. The study demonstrates that beta and gamma distributions are preferable when introducing flexibility over time during the building construction processes, confirming the literature on the topic. The methodology adopted is demonstrated to be an effective tool when in presence of alternative investment options, enforcing decision-making in a temporal perspective.

ACS Style

Elena Fregonara; Diego Giuseppe Ferrando. How to Model Uncertain Service Life and Durability of Components in Life Cycle Cost Analysis Applications? The Stochastic Approach to the Factor Method. Sustainability 2018, 10, 3642 .

AMA Style

Elena Fregonara, Diego Giuseppe Ferrando. How to Model Uncertain Service Life and Durability of Components in Life Cycle Cost Analysis Applications? The Stochastic Approach to the Factor Method. Sustainability. 2018; 10 (10):3642.

Chicago/Turabian Style

Elena Fregonara; Diego Giuseppe Ferrando. 2018. "How to Model Uncertain Service Life and Durability of Components in Life Cycle Cost Analysis Applications? The Stochastic Approach to the Factor Method." Sustainability 10, no. 10: 3642.

Journal article
Published: 06 June 2018 in Sustainability
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The aim of this paper is to propose a methodology for supporting decision-making in the design stages of new buildings or in the retrofitting of existing heritages. The focus is on the evaluation of economic–environmental sustainability, considering the presence of risk and uncertainty. An application of risk analysis in conjunction with Life-Cycle Cost Analysis (LCCA) is proposed for selecting the preferable solution between technological options, which represents a recent and poorly explored context of analysis. It is assumed that there is a presence of uncertainty in cost estimating, in terms of the Life-Cycle Cost Estimates (LCCEs) and uncertainty in the technical performance of the life-cycle cost analysis. According to the probability analysis, which was solved through stochastic simulation and the Monte Carlo Method (MCM), risk and uncertainty are modeled as stochastic variables or as “stochastic relevant cost drivers”. Coherently, the economic–financial and energy–environmental sustainability is analyzed through the calculation of a conjoint “economic–environmental indicator”, in terms of the stochastic global cost. A case study of the multifunctional building glass façade project in Northern Italy is proposed. The application demonstrates that introducing flexibility into the input data and the duration of the service lives of components and the economic and environmental behavior of alternative scenarios can lead to opposite results compared to a deterministic analysis. The results give full evidence of the environmental variables’ capacity to significantly perturb the model output.

ACS Style

Elena Fregonara; Diego Giuseppe Ferrando; Sara Pattono. Economic–Environmental Sustainability in Building Projects: Introducing Risk and Uncertainty in LCCE and LCCA. Sustainability 2018, 10, 1901 .

AMA Style

Elena Fregonara, Diego Giuseppe Ferrando, Sara Pattono. Economic–Environmental Sustainability in Building Projects: Introducing Risk and Uncertainty in LCCE and LCCA. Sustainability. 2018; 10 (6):1901.

Chicago/Turabian Style

Elena Fregonara; Diego Giuseppe Ferrando; Sara Pattono. 2018. "Economic–Environmental Sustainability in Building Projects: Introducing Risk and Uncertainty in LCCE and LCCA." Sustainability 10, no. 6: 1901.

Journal article
Published: 07 August 2017 in Journal of European Real Estate Research
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Purpose The purpose of this paper is to assess the impact of the Energy Performance Certificate (EPC) on the Italian real estate market, focusing on old buildings. The contribution of EPC labels to house prices and to market liquidity was measured to analyze different aspects of the selling process. Design/methodology/approach A traditional hedonic model was used to explain the variables of listing price, transaction price, time on the market and bargaining outcome. In addition to EPC labels, the building construction period and the main features of apartments were included in the model. A sample of 879 transactions of old properties in Turin in 2011-2014 was considered. Findings A first hedonic model let us suppose that low EPC labels (E, F and G) were priced in the market although EPC labels explained only 6-8 per cent of price variation. A second full hedonic model, which included apartment characteristics, revealed that EPC labels had no impact on prices. Originality/value In Italy EPC has been mandatory for house transactions since 2009, so there are few studies on the effect of EPC on the Italian real estate market at least to our knowledge. Furthermore, unusually for the Italian context, in this paper also transaction prices were analyzed, in addition to the more frequently used listing prices.

ACS Style

Elena Fregonara; Diana Rolando; Patrizia Semeraro. Energy performance certificates in the Turin real estate market. Journal of European Real Estate Research 2017, 10, 149 -169.

AMA Style

Elena Fregonara, Diana Rolando, Patrizia Semeraro. Energy performance certificates in the Turin real estate market. Journal of European Real Estate Research. 2017; 10 (2):149-169.

Chicago/Turabian Style

Elena Fregonara; Diana Rolando; Patrizia Semeraro. 2017. "Energy performance certificates in the Turin real estate market." Journal of European Real Estate Research 10, no. 2: 149-169.

Journal article
Published: 21 July 2017 in Buildings
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The aim of this paper is to propose a methodology for supporting decision making in design activities; in case of new projects or retrofitting of existing buildings. A multidisciplinary approach is adopted; involving Real Estate Appraisal and Economic Evaluation of Project and Building Environmental Design. It is proposed a methodology for selecting the preferable solutions among technological options; considering both economic and environmental aspects; in terms of global performance. Assuming the principles of Life Cycle Thinking and Circular Economy focus is posed at the end-of-life stage. Attention is paid on disposal costs and residual value as relevant items enable to orient investment decisions. This is done through an approach for quantifying environmental indicators related to Life Cycle Assessment (Standard ISO 14040:2006); and economic indicators adopting the Life Cycle Costing (Standard ISO 15686:2008). The paper proposes a conjoint “economic-environmental indicator”. An application of Global Cost calculation is illustrated; including monetized environmental impacts (Embodied energy and Embodied carbon); disposal/dismantling costs and residual value. The result of the Global Cost calculation is expressed through a “synthetic economic-environmental indicator” in order to select; between two different technologies; the most viable solution for a multifunctional building glass façade project; in Northern Italy. The study demonstrates that the initial investment decisions depend on the design solutions; since the early stages; related to the whole building life cycle considering conjointly the construction-management phases and the end-of-life stage.

ACS Style

Elena Fregonara; Roberto Giordano; Diego Giuseppe Ferrando; Sara Pattono. Economic-Environmental Indicators to Support Investment Decisions: A Focus on the Buildings’ End-of-Life Stage. Buildings 2017, 7, 65 .

AMA Style

Elena Fregonara, Roberto Giordano, Diego Giuseppe Ferrando, Sara Pattono. Economic-Environmental Indicators to Support Investment Decisions: A Focus on the Buildings’ End-of-Life Stage. Buildings. 2017; 7 (4):65.

Chicago/Turabian Style

Elena Fregonara; Roberto Giordano; Diego Giuseppe Ferrando; Sara Pattono. 2017. "Economic-Environmental Indicators to Support Investment Decisions: A Focus on the Buildings’ End-of-Life Stage." Buildings 7, no. 4: 65.

Journal article
Published: 28 March 2017 in Energy Procedia
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The aim of this paper is to highlight the potentialities for supporting the decision making process and design activities, for the case of retrofit projects with alternative technological solutions to compare. A multidisciplinary approach was adopted, involving the contribution of Real Estate Market and Economic Evaluation of Project, Architectural Technology and Building Physics.Asimplified application of the Life Cycle Costing methodology was used, in synergy with energy analyses, to select, among different scenarios,the most viable solution for theretrofitting projectof a single house in Northern Italy.

ACS Style

Elena Fregonara; Valerio R.M. Lo Verso; Matteo Lisa; Guido Callegari. Retrofit Scenarios and Economic Sustainability. A Case-study in the Italian Context. Energy Procedia 2017, 111, 245 -255.

AMA Style

Elena Fregonara, Valerio R.M. Lo Verso, Matteo Lisa, Guido Callegari. Retrofit Scenarios and Economic Sustainability. A Case-study in the Italian Context. Energy Procedia. 2017; 111 ():245-255.

Chicago/Turabian Style

Elena Fregonara; Valerio R.M. Lo Verso; Matteo Lisa; Guido Callegari. 2017. "Retrofit Scenarios and Economic Sustainability. A Case-study in the Italian Context." Energy Procedia 111, no. : 245-255.

Chapter
Published: 02 February 2017 in Developments in Advanced Control and Intelligent Automation for Complex Systems
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The importance of location effect on prices is recognized by real estate literature. This paper proposes a spatial analysis of prices, but also of asset liquidity. In particular we introduce a new approach to measure the relative improvement in price and asset liquidity prediction when the location is known, as opposed to when the location is unknown. As a first application we considered a simplified model, where the location is represented through geographical submarkets. We applied the model to an Italian case study, where real estate markets are divided into geographical submarkets according to the law. We investigated location effect on selling price and asking price, that in Italy is often used for appraisal purposes. We find empirical evidence of the Italian submarket impact on house prices. By contrast, we show that the liquidity of the market, proxied by the time on the market and the discount ratio, is not associated with geographical submarkets.

ACS Style

Rocco Antonio Curto; Elena Fregonara; Patrizia Semeraro. A Spatial Analysis for the Real Estate Market Applications. Developments in Advanced Control and Intelligent Automation for Complex Systems 2017, 163 -179.

AMA Style

Rocco Antonio Curto, Elena Fregonara, Patrizia Semeraro. A Spatial Analysis for the Real Estate Market Applications. Developments in Advanced Control and Intelligent Automation for Complex Systems. 2017; ():163-179.

Chicago/Turabian Style

Rocco Antonio Curto; Elena Fregonara; Patrizia Semeraro. 2017. "A Spatial Analysis for the Real Estate Market Applications." Developments in Advanced Control and Intelligent Automation for Complex Systems , no. : 163-179.

Book chapter
Published: 31 December 2016 in Smart and Sustainable Planning for Cities and Regions
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The aim of the paper is to address the issue of social inequity in Italy due to property taxation. The European Union has declared the fact that cadastral values used to define property taxation in Italy do not reflect market prices. In this paper, we analyze the discrepancies between cadastral values and listing prices. Furthermore, we find empirical coefficients to apply to current cadastral values to reduce the spread between current cadastral values and market prices. The procedure used is very simple and could easily be applied by local public administrations in order to correct the inequity produced by the current property taxation system within the same city and among various cities.

ACS Style

Rocco Curto; Elena Fregonara; Patrizia Semeraro. Market Prices and Property Taxation in Italian Real Estate: A Turin Case Study. Smart and Sustainable Planning for Cities and Regions 2016, 141 -155.

AMA Style

Rocco Curto, Elena Fregonara, Patrizia Semeraro. Market Prices and Property Taxation in Italian Real Estate: A Turin Case Study. Smart and Sustainable Planning for Cities and Regions. 2016; ():141-155.

Chicago/Turabian Style

Rocco Curto; Elena Fregonara; Patrizia Semeraro. 2016. "Market Prices and Property Taxation in Italian Real Estate: A Turin Case Study." Smart and Sustainable Planning for Cities and Regions , no. : 141-155.

Journal article
Published: 01 September 2016 in Energy and Buildings
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The recast of the Energy Performance of Buildings Directive (EPBD) introduced a comparative methodological framework for calculating cost-optimal levels of minimum energy performance requirements. The cost-optimal methodology, conceived for national authorities, was here exploited as a decision-making tool for supporting a private investor in choosing the most viable energy scenario. The methodology was thus used to evaluate different energy efficiency measures applied to an abandoned industrial building in Turin (Northern Italy) and to identify the best retrofit solution in terms of energy and costs. Providing guidance and tools for re-designing ex-industrial areas can be useful for several similar case studies widespread not only nearby Turin, but also in other Italian regions and EU countries. The research activity here presented aims at testing the cost-optimal methodology to support energy retrofit projects starting from an early design stage. The arisen issues may be considered for future applications, with reference to specific contexts. In this perspective, this work constitutes a first step towards the definition of an "environmental and economic sustainability equilibrium", assuming that the application of models and approaches for evaluating both the energy environmental performances and the economic ones, in many cases, may give very different results

ACS Style

Cristina Becchio; Diego Giuseppe Ferrando; Elena Fregonara; Niccolò Milani; Camilla Quercia; Valentina Serra. The cost-optimal methodology for the energy retrofit of an ex-industrial building located in Northern Italy. Energy and Buildings 2016, 127, 590 -602.

AMA Style

Cristina Becchio, Diego Giuseppe Ferrando, Elena Fregonara, Niccolò Milani, Camilla Quercia, Valentina Serra. The cost-optimal methodology for the energy retrofit of an ex-industrial building located in Northern Italy. Energy and Buildings. 2016; 127 ():590-602.

Chicago/Turabian Style

Cristina Becchio; Diego Giuseppe Ferrando; Elena Fregonara; Niccolò Milani; Camilla Quercia; Valentina Serra. 2016. "The cost-optimal methodology for the energy retrofit of an ex-industrial building located in Northern Italy." Energy and Buildings 127, no. : 590-602.

Journal article
Published: 01 June 2015 in TERRITORIO
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The recent debate on policies for the redevelopment of state property in Italy has involved several public and private stakeholders. Attention has focused on architectural heritage capable of generating significant economic effects and on the preliminary phase of public projects, with explicit reference to the UK approach to the project planning. Focusing on a number of shortcomings in Italian legislation concerning public works and on the importance of the briefing phase, a methodological approach based on the integrated use of three techniques (SWOT Analysis, CIA and AHP) and aimed at structuring the project brief is proposed. The La Marmora Barracks of Turin is presented as a case study to show how an operational support during the briefing phase can help to define strategic guidelines for the development of projects and the enhancement of the value of architectural heritage

ACS Style

Cristina Coscia; Elena Fregonara; Diana Rolando. Project management, briefing and territorial planning. The case of military properties disposal. TERRITORIO 2015, 135 -144.

AMA Style

Cristina Coscia, Elena Fregonara, Diana Rolando. Project management, briefing and territorial planning. The case of military properties disposal. TERRITORIO. 2015; (73):135-144.

Chicago/Turabian Style

Cristina Coscia; Elena Fregonara; Diana Rolando. 2015. "Project management, briefing and territorial planning. The case of military properties disposal." TERRITORIO , no. 73: 135-144.

Journal article
Published: 01 April 2015 in International Journal of Decision Support System Technology
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A high level of complexity usually characterises public projects that involve extended area and several actors with conflicting objectives, and are related to decision processes that continuously change the action space. This complexity should induce local authorities to use Problem Structuring Methods (PSM) in the project definition, to have a clear, complete and unambiguous overview of the context, with the main decision problems and the associated uncertainties, and the actual roles and potential interests of the actors potentially affected by the project. The paper proposes an approach based on the integration of two PSM and finalized to create a knowledge framework of the project context and to control uncertainties and complexities. The methodology is illustrated in relation to a public project in north-west Italy, in which this integrated approach is required because it is difficult or premature to involve the actors in the concept phase, but knowledge of the potential negative/positive impacts on them is essential to structure the decision process and to activate the project.

ACS Style

Maria Franca Norese; Diana Rolando; Elena Fregonara. Integration of Problem Structuring Methods. International Journal of Decision Support System Technology 2015, 7, 58 -83.

AMA Style

Maria Franca Norese, Diana Rolando, Elena Fregonara. Integration of Problem Structuring Methods. International Journal of Decision Support System Technology. 2015; 7 (2):58-83.

Chicago/Turabian Style

Maria Franca Norese; Diana Rolando; Elena Fregonara. 2015. "Integration of Problem Structuring Methods." International Journal of Decision Support System Technology 7, no. 2: 58-83.

Journal article
Published: 02 March 2015 in International Journal of Housing Markets and Analysis
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Purpose – The main purpose of this paper is to explore the listing behaviours of agents and sellers. In particular, the paper analyzes listing prices and the predicting power of the house features described in advertisements, to improve their use in real estate valuations. In Italy, selling prices are not public information and therefore listing prices play a key role for market analyses and are used by real estate companies and appraisers for estimating house values. Design/methodology/approach – A traditional hedonic model was used to measure the overall contribution to listing price of the characteristics described in advertisements. The analysis was performed both on houses put on the market by agents and on houses put on the market by sellers. Listing price distributions and their deviation from normality were analyzed. Furthermore, a hedonic analysis was performed, which consisted of two steps. First, the coefficient of determination for any characteristic was computed. Second, the overall contribution to the listing price of the characteristics described in advertisements was measured. Findings – The analysis shows the presence of factors which affect listing prices and which are not revealed to buyers in real estate advertisements. On the other hand, the presence of characteristics that do not affect the listing price but are described in advertisements was also found. Furthermore, agents and sellers showed different behaviours. While the marginal contributions of each characteristic estimated on a sample of houses put on the market by agents were significant, the analysis reveals that listing prices of houses put on the market by sellers are not explained by the house features. Originality/value – To the best of the authors’ knowledge, this is the first study to propose a hedonic approach to exploring the major determinants of listing prices of houses on sale on the Italian market. The listing behaviour of agents and sellers and the predicting power of the observable characteristics could address the use of listing prices in real estate valuations. At the same time, the potential presence of unobservable factors that affect the listing price could be a source of bias in estimating the value of houses.

ACS Style

Rocco Curto; Elena Fregonara; Patrizia Semeraro. Listing behaviour in the Italian real estate market. International Journal of Housing Markets and Analysis 2015, 8, 97 -117.

AMA Style

Rocco Curto, Elena Fregonara, Patrizia Semeraro. Listing behaviour in the Italian real estate market. International Journal of Housing Markets and Analysis. 2015; 8 (1):97-117.

Chicago/Turabian Style

Rocco Curto; Elena Fregonara; Patrizia Semeraro. 2015. "Listing behaviour in the Italian real estate market." International Journal of Housing Markets and Analysis 8, no. 1: 97-117.

Journal article
Published: 22 December 2014 in Journal of Daylighting
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ACS Style

Valerio R.M. Lo Verso; Elena Fregonara; Federica Caffaro; Caterina Morisano; Gian Maria Peiretti. Daylighting as the Driving Force of the Design Process: from the Results of a Survey to the Implementation into an Advanced Daylighting Project. Journal of Daylighting 2014, 1, 36 -55.

AMA Style

Valerio R.M. Lo Verso, Elena Fregonara, Federica Caffaro, Caterina Morisano, Gian Maria Peiretti. Daylighting as the Driving Force of the Design Process: from the Results of a Survey to the Implementation into an Advanced Daylighting Project. Journal of Daylighting. 2014; 1 (1):36-55.

Chicago/Turabian Style

Valerio R.M. Lo Verso; Elena Fregonara; Federica Caffaro; Caterina Morisano; Gian Maria Peiretti. 2014. "Daylighting as the Driving Force of the Design Process: from the Results of a Survey to the Implementation into an Advanced Daylighting Project." Journal of Daylighting 1, no. 1: 36-55.

Original articles
Published: 01 October 2013 in Journal of Urban Technology
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The aim of this paper is to illustrate a multidisciplinary approach to selecting, designing, and evaluating sustainable solutions for energy-efficient buildings that are integrated into their neighborhoods at the early design stage. The paper discusses the Strategic Choice Approach (SCA), a tool which supports decision-makers in shaping problems in complex contexts. SCA is proposed as a tool for developing a sort of preliminary “platform” in which information derived from four disciplines (environmental technology, materials science and technology, architectural design, and real estate market evaluation) could be shared and accessed by stakeholders during the early design stage in order to manage the multidimensionality and uncertainty of building design. The challenge is to structure a support tool for designers, builders, developers, and urban planning authorities involved in sustainability-oriented land administration.

ACS Style

Elena Fregonara; Rocco Curto; Mario Grosso; Paolo Mellano; Diana Rolando; Jean-Marc Tulliani. Environmental Technology, Materials Science, Architectural Design, and Real Estate Market Evaluation: A Multidisciplinary Approach for Energy-Efficient Buildings. Journal of Urban Technology 2013, 20, 57 -80.

AMA Style

Elena Fregonara, Rocco Curto, Mario Grosso, Paolo Mellano, Diana Rolando, Jean-Marc Tulliani. Environmental Technology, Materials Science, Architectural Design, and Real Estate Market Evaluation: A Multidisciplinary Approach for Energy-Efficient Buildings. Journal of Urban Technology. 2013; 20 (4):57-80.

Chicago/Turabian Style

Elena Fregonara; Rocco Curto; Mario Grosso; Paolo Mellano; Diana Rolando; Jean-Marc Tulliani. 2013. "Environmental Technology, Materials Science, Architectural Design, and Real Estate Market Evaluation: A Multidisciplinary Approach for Energy-Efficient Buildings." Journal of Urban Technology 20, no. 4: 57-80.

Preprint
Published: 01 January 2012
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Traditionally the appraisal of house prices is conducted through hedonic approaches: the price is explained by structural and positional characteristics. Starting from these premises, we compare housing offer and transaction prices to discuss the role of the determinants of real estate house price in the two markets. For this purpose, we resort to a measure of association based on a proportional reduction in variation, proposed by Kendall and Stuart (1979): it represents the incidence of a characteristic X on the price variability. The goal of the above association measure is twofold: on one side the computational simplicity, on the other side it is that it has been defined for a pair of variable (X, Y) where the response variable Y is quantitative and the variable X is qualitative. This is the case when one consider a characteristic (X) involved in the price (Y) formation. We perform the above analysis on the Turin real estate market. We consider a sample of 516 dwellings. In particular we examine the following characteristics: presence of the elevator, typology, dwelling preservation status, building preservation status, Microzone (spatially homogeneous submarket, a positional characteristics). The data support the thesis that, as concerns the characteristics considered, the incidence is almost the same in the two markets. It is further remarkable that the characteristics whose incidence in price formation is higher are the typology and the Microzone: 52% and 63% respectively as concerns offer prices and 54% and 63% as concerns transaction prices, supporting the increasing role of spatial statistics in the real estate market.

ACS Style

Elena Fregonara; Patrizia Semeraro. The incidence of characteristics in housing prices and offer prices. 2012, 1 .

AMA Style

Elena Fregonara, Patrizia Semeraro. The incidence of characteristics in housing prices and offer prices. . 2012; ():1.

Chicago/Turabian Style

Elena Fregonara; Patrizia Semeraro. 2012. "The incidence of characteristics in housing prices and offer prices." , no. : 1.