1,721,166 research outputs found
Valuing benefits from buildings energy savings: An econometric approach
No full textEnergy certifycation attests the buildings energy performance and it was introduced by the European Directive 2002/91/CE as a tool for supporting information and transparency in real estate markets. The present paper intends to investigate the role of the energy certification in the formation of the market value of an estate. In particular, the study proposes an application of the Hedonic Prices method on a sample of residential buildings located in the city of Torino. The objective of the application is to determine the willingness to pay of the buyers with respect to energy-efficient buildings. The outputs of the research show that the consumers demonstrate to appreciate high energy performance classes and this results is aligned with the main findings coming from other international scientific studies. The obtained results could be further verified through the integration of the proposed approach with the cost-optimal methodology
Evaluating under Uncertainty - A MCDA approach for assessing the sustainability of urban transformations
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Combining an agent-based model, hedonic pricing and multicriteria analysis to model green gentrification dynamics
No full textHousehold mobility dynamics are a complex phenomenon due to the multi-faceted human-environment interactions involved. These dynamics are affected by a variety of variables, spanning economic, structural, political and environmental. With respect to this latter aspect, much research has explored the relationship between the development of urban green areas, the increase of price and the formation of gentrification. Within this context, the present work explores housing mobility and gentrification dynamics proposing a mixed-method approach that combines a spatially explicit agent-based model (ABM), a Multicriteria Decision Analysis (MCDA) and a Hedonic Price (HP). The case study of the transformation project of Victoria Park in Brisbane (Australia) is used to verify the applicability of this integrated approach. In the methodological framework proposed, the ABM simulates the housing mobility of the residents through an individual decision-making process, where the likelihood of mobility is based on various empirical endogenous factors (i.e., household socio-economic characteristics) and exogenous ones (i.e., market variation). The MCDA supports the identification of the relative importance of these factors using a panel of local experts and stakeholders. The Spatial HP explores the impact of urban parks on real estate prices. The current study found the abilities of MCDA and HP to reduce the assumptions of ABM by generating quali-quantitative information of citizens' behaviors and estimating price increase. Moreover, the model highlights the importance of considering both supply and demand sides when analyzing gentrification. The specific results of the case study show the influence of the park in the formation of green gentrification
La valutazione della sostenibilità di un'infrastruttura stradale attraverso l'Analytic Network Process
No full textCeSET = Centro di estimo e di economia territorial
Feasibility and evolution studies on renewable energy communities in cities
Full text linkRenewable energy communities could play a key role in the decarbonisation of the building stock, while providing important benefits to the members. This paper reviews the existing literature on this topic of growing scholarly interest. Three clusters have been identified, grouping the most common approaches to study feasibility analysis and the drivers that encourage individual participation. The paper also explores the role that different actors and forms of self-organisation might play in the development of these communities. The findings highlight a lack of homogeneity in the literature in conceptualising the benefits of renewable energy communities for different stakeholders. There is also evidence that little attention has been paid in the research to energy efficiency measures and the reduction of energy consumption. Financial costs and benefits are the main drivers, while environmental concerns and the desire to reduce dependence on energy-related uncertainties emerge as influential in community participation. Finally, a comparison of Italian case studies reveals a lack of comparability between studies due to discrepancies in the conceptualisation and calculation of indicators, such as the variation of self-sufficiency ratios ranging from 35.6 % to 83.8 % between reported and recalculated results. The insights gained from this study can help lay the ground for the establishment of a cross-sectorial approach to renewable energy community studies. A further important contribution of this work is to draw attention to the need for a common framework for assessing the performance of these communities. Finally, this study also usefully proposes clear calculation boundaries for the definition of indicators
A system dynamics model and analytic network process: An integrated approach to investigate urban resilience
Full text linkDuring the last decade, the concept of urban resilience has been increasingly implemented in urban planning, with the main aim to design urban development strategies. Urban resilience is a multi-dimensional and dynamic concept. When applied to urban planning, it consists of studying cities as complex socio-economic systems. Municipalities are currently working to undertake appropriate actions to enrich the resilience of cities. Moreover, several difficulties concern the evaluation of the impacts over time of the strategies designed to enhance urban resilience. The present paper proposes an integrated approach based on the System Dynamics Model (SDM) and the Analytic Network Process (ANP). The objective of this research is to describe the method and to illustrate its application to the area called Basse di Stura, located in the city of Turin, Italy. The method is applied to evaluate the possible impacts of two different urban scenarios in terms of the change of urban resilience performance over time. The final result is represented by an index that describes urban resilience performance
An Agent-Based Model (ABM) for the Evaluation of Energy Redevelopment Interventions at District Scale: An Application for the San Salvario Neighborhood in Turin (Italy)
No full textThe optimization of mobility connections, the use of renewable energy resources and the retrofit of buildings are only some of the aspects that affect urban transformations and planning. Decision maker and urban planners must be faced with multi-dimensional aspects and objectives in a long-term vision. In that context, different methods have been developed in order to consider these multi-dimensional perspectives. However, only a few approaches try to simulate the effects in a multi-temporal way. Agent-based model (ABM) try to do exactly this, considering, in particular, the interactions among agents through a bottom-up approach. Aim of this research is to apply an ABM to a real case study in the San Salvario neighborhood in Turin (Italy), simulating a complex socio-economic-architectural adaptive system to study the temporal diffusion of energy requalification operations and the willingness of inhabitants to adopt different retrofit actions. The two applications were, firstly, built on acomputer grid environment and, then, integrated with GIS maps, in order to analyse the effects in the real distribution of buildings of San Salvario. Agents are designed to choose which system adopt, based on different theories of human behaviors. We discuss limitations of the current models and we suggest future directions of this research
Evaluating Positive Energy Districts: A Literature Review
No full textTo achieve the climate goals in the Paris Agreement and clean energy transition, positive energy districts must be promoted. A positive energy district is focused on increasing the efficiency of the buildings within it, using the renewable energy it produces, favouring electric and hybrid cars, and storing all the energy produced, in order to make clean energy for the whole city. Positive energy is a concept that takes into account not only the energy aspect, but also the environmental, social, and economic sphere. In order to be effective, this transformation requires the intervention of the community and the local decision-makers. The aim of the paper is to investigate the scientific literature, through the scientific dataset SCOPUS, in order to develop an evaluation framework for energy transition to support the decision-makers. Since the positive energy district is a recent paradigm, the investigation is extended to consider energy fields and takes into account different levels of urban scale. Specific keywords are used in order to find different economic methods in the literature, which can be used to support positive energy transitio
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