Search

Promoting the shift from private cars to micromobility (e.g., bike, e-bike, scooter) can represent a valuable action to improve city sustainability and liveability. Micromobility can help to replace trips by individual private cars (e.g., daily short round trips) as well as to improve coverage and accessibility of transit services, and, subsequently, to reduce the traffic impacts (e.g., pollutant emissions). It can be seen as a potential solution to move people more efficiently in urban areas, as well as to push people towards a more active mobility behaviour, contributing to the well-being goals. In this context, the paper, rather than inferring the users' propensity to change their travel mode, proposes a methodology to identify car trips that can be considered the most compatible with micromobility. Estimation of the potential demand (e.g., the upper level of car trips that could be replaced by micromobility) is carried out by exploiting the opportunity offered by floating car data (FCD) for characterising car trips. Its goodness is therefore evaluated through an application to a real case study (i.e., the city of Trani, Apulia Region, Southern Italy), divided into seventy traffic zones, and where a FCD dataset of about 5,200 trips was available. The FCD allowed the car trips to be characterised (e.g., origin and destination, path features) instead of using the traditional surveys. The results indicate that a significant share of daily car trips can be substituted (i.e., the most compatible) by micromobility (31% of car round trips in the case study), with considerable potential environmental gains (traffic emission reduction; less than 21% of total emissions from private cars). Results can be of interest to local authorities in integrating micromobility in urban mobility planning and promoting new sustainable transport alternatives, as well as to transport companies for designing new appeal services. The developed methodology is parametric and uses easy-to-obtain data available worldwide; thus, it can be easily transferred to other city contexts. [ABSTRACT FROM AUTHOR]

Due to increasing urbanization, nowadays, cities are facing challenges spanning multiple domains such as mobility, energy, environment, etc. For example, to reduce traffic congestion, energy consumption, and excessive pollution, big data gathered from legacy systems (e.g., sensors not conformant with modern standards), geographic information systems, gateways of public administrations, and Internet of Things technologies can be exploited to provide insights to assess the current status of a city. Moreover, the possibility to perform what-if analyses is fundamental to analyzing the impact of possible changes in the urban environment. The few available solutions for scenario definitions and analyses are limited to addressing a single domain and providing proprietary formats and tools, with scarce flexibility. Therefore, in this paper, we present a novel scenario model and editor integrated into the open-source Snap4City.org platform to enable several processing and what-if analyses in multiple domains. Different from state-of-the-art software, the proposed solution responds to a series of identified requirements, implements NGSIv2-compliant data models with formal descriptions of the urban context, and a scenario versioning method. Moreover, it allows us to carry out analyses on different domains, as shown with some examples. As a case study, a traffic congestion analysis is provided, confirming the validity and usefulness of the proposed solution. This work was developed in the context of CN MOST, the National Center on Sustainable Mobility in Italy, and for the Tourismo EC project. [ABSTRACT FROM AUTHOR]

The electrification of transport is expected to progressively replace significant shares of light duty mobility, especially in large cities. The European Alternative Fuel Infrastructure Regulation (AFIR) aims to drive the adoption of electric mobility by establishing specific targets for charging point deployment. Innovative charging concepts may complement and accelerate the uptake of this fundamental part of the urban mobility transition. In this paper, one such innovative concept is described and its potential impact is assessed. The core idea involves integrating charging points into existing city tramway infrastructures. Turin's tramway network is taken as a representative case study. The proposed technical solution encompasses a charging hub powered by four isolated DC/DC converters of 50 kW, directly connected to the DC tramway distribution line. Three of these constitute the heart of a 150 kW charger, while the fourth acts as voltage regulator. This native DC installation greatly simplifies the architecture of the DC chargers. Using a conservative approach, it was estimated that a single recharging station could charge more than 60 vehicles daily. This highly scalable and replicable solution, with the potential for over 100 conversion substations across Italy, would enable the installation of numerous high-power chargers in urban settings. Furthermore, additional benefits could be realized through enhanced recovery of kinetic energy from trams, which is currently dissipated on-board. [ABSTRACT FROM AUTHOR]

The aim of the paper is to provide an empirical framework of the ageing process in Italy, with a focus on aging in place and mobility behaviour of the elderly, as emerging from two national surveys: the “Aspects of Daily Life” survey by ISTAT and the ISFORT mobility survey. Results show that the Italian cities and towns are sufficiently age-friendly, with some improvement opportunities to be implemented. Loneliness and isolation represent a warning sign, hindering the aging in place. Finally, the study confirms that the Italian older adults use public transport only a few times, in favour of private cars. [ABSTRACT FROM AUTHOR]

For new buildings in densely urbanised cities, groundwater heat pump systems (GWHPs) represent a concrete, effective solution for decarbonising existing energy systems. Environmental factors must be considered to limit the GWHP system's impact on the subsurface. Particular attention must be given to the long-term sustainability of groundwater abstraction modalities and the development of a thermally affected zone around re-injection wells. Simplified solutions and numerical models have been applied to predict subsurface heat transport mechanisms; these simulations allow researchers to consider site-specific geological conditions, transient heat and groundwater flow regimes, and anisotropies in the subsurface media. This paper presents a comprehensive overview of the current research on GWHPs and discusses the benefits and limitations of their diffusion in Italy. The sources used provide information on and examples of the correct methodological approaches for depicting the induced variations while avoiding the overestimation or underestimation of the impact that GWHPs have on exploited aquifers. [ABSTRACT FROM AUTHOR]

Simple Summary: The red palm weevil beetle (Rhynchophorus ferrugineus), native to Asia, has assumed highly invasive behavior in the Mediterranean Sea basin, causing great damage to both date crops and ornamental plants. Given the lack of natural antagonists here, chemical substances must be administered to prevent attacks or cure infested palms. Through a multidisciplinary approach, we analyzed the evolution of the distribution of this beetle in San Benedetto del Tronto, a coastal city in central Italy rich in Canary Island date palms, considering both the control strategies used and their potentially negative effects. We observed that this beetle drastically reduced the palm stock by about half over the course of the 15 years between its arrival and the study's conclusion in 2020. The local municipality's program of chemical treatments has been very effective against new palm tree attacks but is expensive and poses toxicity risks for insects, animals, and the environment. However, currently, these treatments are the only effective tool for preserving the cultural landscape of this area. The challenge is to find the right balance between all these aspects. The fight against alien invasive insect pests of plants in the urban environment often affects varied sectors of the economy, landscape gardening, public health, and ecology. This paper focuses on the evolution of the red palm weevil in San Benedetto del Tronto, a coastal urban area in central Italy. We investigated the evolution of this insect pest of palm trees in the 2013–2020 period, considering both the effectiveness of the chemicals used and their potentially harmful effects. With a multidisciplinary approach, we carried out a spatio-temporal analysis of the extent and mode of pest spread over time using historical aerial photos, freely available remote sensing images, and field surveys integrated in a GIS environment. We also assessed the toxicity risk associated with the chemicals used to protect the palms from the red weevil. The fight against this weevil is now concentrated in specific areas such as parks, roads, villas, hotels, farmhouses, and nurseries. The preventive chemical treatments applied are very effective in preserving the palms, but they show a toxic potential for all organisms. We discuss current local management of this pest, focusing on several aspects involved in the fight against this beetle in an urban area. [ABSTRACT FROM AUTHOR]

This paper investigates whether urbanization plays a role in determining the importance of each happiness domain on overall happiness. The analysis focuses on Italy. We exploit a multilevel model to consider regional heterogeneity in happiness determinants. We first verify whether a direct effect of urbanization exists on each specific components of happiness, as well as on overall happiness. Consistent with the findings in the literature, happiness decreases with urbanization. In the analysis of the mediating role, we find that the importance of satisfaction family explains more overall happiness in urban areas. On the contrary, satisfaction with health, friendships and environment gain more weight in rural areas. [ABSTRACT FROM AUTHOR]

Mapping urban areas from space is a complex task involving the definition of what should be considered as part of an urban agglomerate beyond the built-up features, thus modelling the transition of a city into the surrounding landscape. In this paper, a new technique to map urban areas using multitemporal synthetic aperture radar data is presented. The proposed methodology exploits innovative RGB composites in combination with self-organizing map (SOM) clustering and object-based image analysis. In particular, the clustered product is used to extract a coarse urban area map, which is then refined using object-based processing. In this phase, Delaunay triangulation and the spatial relationship between the identified urban regions are used to model the urban–rural gradient between a city and the surrounding landscape. The technique has been tested in different scenarios representative of structurally different cities in Italy and Germany. The quality of the obtained products is assessed by comparison with the Urban Atlas of the European Environmental Agency, showing good agreement with the adopted reference data despite their different taxonomies. [ABSTRACT FROM AUTHOR]

The present paper further develops a coastal vulnerability index formulation (CVI) previously proposed by the authors by integrating a new variable and redefining three variables to improve the suitability of the index for low-lying coasts. Eleven variables are divided into three typological groups: geological, hydro-physical process and vegetation. The geological variables are: geomorphology, shoreline erosion/accretion rates, coastal slope, emerged beach width, and dune. The hydro-physical process group includes: river discharge, sea-level change, mean significant wave height and mean tide range. The vegetation variables are: vegetation behind the back-beach and coverage of Posidonia oceanica. The index was applied to a stretch of the Ionian coast in the province of Crotone in the Calabria region (Southern Italy), and a vulnerability map was produced. A geography information system (GIS) platform was used to better process the data. For the case study area, the most influential variables are shoreline erosion/accretion rates, coastal slope, emerged beach width, dune, vegetation behind the back-beach, and coverage of Posidonia oceanica. The most vulnerable transects are those near urban areas characterized by the absence of dunes and vegetation. Statistical and sensitivity analyses were performed, and the proposed CVI was compared with the previous formulation proposed by the authors and with two other CVI methods present in the literature. [ABSTRACT FROM AUTHOR]

On 27–28 July 2019, in a catchment of the Mt. Amiata area (Italy), an extreme rainfall induced a debris flow, which caused a channeled erosive process just upstream of the Abbadia San Salvatore village, the obstruction of a culvert at the entrance to the urban area, and the subsequent flooding of the village. In this paper, we present the back analysis of this event. The complexity of this case study is due to several peculiar characteristics, but above all, to the clogging of the culvert, a phenomenon difficult to simulate numerically. The methodology used for the reconstruction of the event is based on a multidisciplinary approach. A geological field investigation was carried out to characterize the catchment and assess the availability of debris. Then, a cascade of numerical models was employed to reconstruct the debris flow: the FLO-2D software was used to model the runoff along the hydrographic network while the mobile-bed debris flow TRENT2D model, available through the WEEZARD system, was used to quantify both the erosion and deposition processes that occurred during the event. To simulate the culvert clogging, a novel modelling procedure was developed and applied. Despite the challenging framework, the results, in terms of debris volume, erosion rates, deposition area, and timing of the culvert obstruction, agree reasonably well with the observed data. It is worth noticing that these results were obtained mainly using parameters set a priori, namely calibrated on a physical basis. This proves that the proposed methodology is robust and effective, with good predictive capability. Therefore, it may be considered, according to the European Union (EU) Flood Directive, an "appropriate practice and the best available technology that does not imply excessive costs" to support predictive hazard mapping of situations as the one here considered. [ABSTRACT FROM AUTHOR]

Starting on 24th August 2016, Central Italy was struck by a six-month earthquake sequence that caused 303 victims and extensive major damages to urban areas and infrastructures, in some cases entire villages needed complete rebuilding. In this paper we present a map that portrays the overall susceptibility to multiple landslide types and the exposure to landslides of the rural-urban areas of the Castelsantangelo sul Nera Municipality, a typical village of the central Italian Apennine. The map is based on a procedure that ingests geomorphological data and models and groups the individual landslide susceptibility maps in a joint susceptibility and exposure map based on expert-defined criteria. The procedure has been applied to built-up and to undeveloped areas to highlight their exposure and was used as a tool for planning post-seismic reconstruction. We advise that such maps are used also as basic tool for ordinary urban planning. [ABSTRACT FROM AUTHOR]

The paper describes the multitemporal landslide inventory map prepared for the urban areas of Motta Montecorvino and Volturino, two municipalities located in the Southern Apennines (Apulia Region, Italy). These territories show a high propensity to landslides of different types and magnitude, which periodically interfere with the anthropic structures and infrastructures. For the study area, the spatial and temporal distribution of landslides is detected for the period between 1954 and 2003, through the visual interpretation of multiple sets of black and white digital stereoscopic aerial photographs at different scales. The analysis reveals locally high frequency of landslide occurrence and built-up areas on existing landslides, either on the body or on the crown areas. In particular, we show that over the years new residential areas were developed despite the presence of large old mass movements. [ABSTRACT FROM AUTHOR]

Starting on 24th August 2016, Central Italy was struck by a six-month earthquake sequence that caused 303 victims and extensive major damages to urban areas and infrastructures, in some cases entire villages needed complete rebuilding. In this paper we present a map that portrays the overall susceptibility to multiple landslide types and the exposure to landslides of the rural-urban areas of the Castelsantangelo sul Nera Municipality, a typical village of the central Italian Apennine. The map is based on a procedure that ingests geomorphological data and models and groups the individual landslide susceptibility maps in a joint susceptibility and exposure map based on expert-defined criteria. The procedure has been applied to built-up and to undeveloped areas to highlight their exposure and was used as a tool for planning post-seismic reconstruction. We advise that such maps are used also as basic tool for ordinary urban planning. [ABSTRACT FROM AUTHOR]

The paper describes the multitemporal landslide inventory map prepared for the urban areas of Motta Montecorvino and Volturino, two municipalities located in the Southern Apennines (Apulia Region, Italy). These territories show a high propensity to landslides of different types and magnitude, which periodically interfere with the anthropic structures and infrastructures. For the study area, the spatial and temporal distribution of landslides is detected for the period between 1954 and 2003, through the visual interpretation of multiple sets of black and white digital stereoscopic aerial photographs at different scales. The analysis reveals locally high frequency of landslide occurrence and built-up areas on existing landslides, either on the body or on the crown areas. In particular, we show that over the years new residential areas were developed despite the presence of large old mass movements. [ABSTRACT FROM AUTHOR]

This paper aims to estimate, through the use of a spatial model, the determinants of fiscal policies on property tax adopted by Italian municipalities in 2014, to assess the existence of strategic interactions influencing their revenue decisions and, finally, to investigate the possible sources of such tax mimicking. The analysis evaluates the impact of political and socio‐economic variables on the local policy decisions and confirms that the choices on property tax are influenced by the neighbouring municipalities' behaviour. With regard to the tax mimicking sources, results highlight that the imitative behaviour among municipalities on their tax policy is determined mainly from spillover effects, with a decreasing effect in relation to municipal size. [ABSTRACT FROM AUTHOR]

Abstract An increasing number of cities are engaging with the sharing economy, exploring how it may be integrated into the urban agenda, fostering its positive aspects whilst avoiding its negative externalities. The paper focuses on two cities, Milan and Seoul, that are internationally considered to have a conscious and tailored approach that lies in the vanguard of this effort. The paper seeks to understand how local authorities govern the sharing economy in order to shape a real sharing city , taking insights from the sharing paradigm concept and looking to the collaborative version of the urban governance paradigm. The paper uses a mixed method approach to develop case studies of the governance models employed. The analysis shows that both cities work along the three dimensions (economic, technological and human) of the sharing paradigm to create a sharing city, with slightly different governance approaches, but both lack institutionalized mechanisms of collaboration. Nevertheless, both are pioneering examples of engagement with the sharing economy. The paper proposes a graphic conceptualization of the two governance models to better highlight their contribution to knowledge. [ABSTRACT FROM AUTHOR]

The obligations arising from legislation and other instruments affect the macro-level decision-making related to the transition toward a circular economy (CE), which is a multifaceted topic since it tries to aggregate the interests of different stakeholders. In this context, this paper aims to analyse the current policies, strategies and initiatives related to the CE transition from a multicriteria perspective and under the lens of NIT (New Institutional Theory). This is the first approach that analyses which CE strategies and related practices boost the transition from a macro-level perspective, using a multicriteria method and considering developed and emerging economies. For this reason, this paper can be helpful for researchers and practitioners involved in implementing strategy and policymaking aimed at the transition toward a CE. It also contributes to the discussion on the global transition to the CE by identifying differences and similarities between countries. The proposed methodology has been applied to compare the realities in Italy and Brazil. The perceptions of several stakeholders from the two countries have been gathered through a questionnaire to evaluate numerous strategies against several social, environmental, economic, and technical criteria. The main results are: Italy presents a proactive behaviour, a higher level of institutionalisation, and a coercive isomorphism related to European regulations and strategies. In contrast, Brazil has reactive behaviour, a lower level of institutionalisation, and is impelled by mimetic isomorphism. Although it is possible to observe several advances in the last years in Brazil, the transition to a CE is still in the early stages compared to Italy. [Display omitted] • Transitioning to a new economic model is not a quick and straightforward process. • Transition requires changes in countries, regions, cities, supply chains and companies. • Some strategies and related practices have been adopted to enable the transition. • National legislation and Action Plans can boost the transition toward a circular economy. • In developing countries, the exploration of CE concept and its potential benefits has been rare. [ABSTRACT FROM AUTHOR]

• Optimal design of multi-vector energy hubs in energy communities. • MILP model using a multi-objective function. • Application to a real case represented by a university campus. One of the main ways to reach the important targets of the European Commission in the energy field set by 2030 is to implement sustainable energy systems to cover electrical and thermal energy demands, as well as transportation needs, in urban areas. In the aforesaid scenario, multi-vector energy hubs consist of installing small and medium size power plants, mainly fed by renewable sources, and charging infrastructures for electric vehicles in sustainable urban districts. The optimal design of such systems can be faced from different points of view and using different methods, one of the most adopted being the development of mathematical programming algorithms typically aimed to minimize global costs and emissions. The contribution of this paper is to propose an innovative methodology to optimally design a multi-vector energy hub able to supply electricity and thermal energy, for space heating and cooling, to a set of buildings within a sustainable district acting as a local energy community. The developed mixed integer linear programming model is characterized by very detailed models of the technologies and by a multi-objective function which is proposed to evaluate the impact of the optimal solution on global costs and emissions. The proposed mathematical model is very comprehensive as it involves a wide range of energy technologies with detailed modelling by considering the impact of external ambient conditions and energy vector temperature values on the plant conversion efficiency, thus showing high replicability potential in real contexts. In the case study, the model is applied to a university campus in the North of Italy. [ABSTRACT FROM AUTHOR]

This paper analyses four statistical distributions used to describe city size distributions: lognormal, double Pareto lognormal, q-exponential, and log-logistic. We use un-truncated city size data for the US, Spain and Italy from 1900 until 2010, and, in addition, the last available year for the remaining countries of the OECD. We estimate the four functions by maximum likelihood. To check the goodness of the fit we use the Kolmogorov- Smirnov and Cramér-von Mises tests, and compute the Akaike information criterion and Bayesian information criterion. The results show that the distribution which best fits data in most of the cases (86.76%) is the double Pareto lognormal. [ABSTRACT FROM AUTHOR]

In recent years, the role played by Public Administration in producing local public services has changed dramatically. This is due partly to the increasing burden of complex necessities in the sector, as well as to the progressive evolution of society (Andrews and Entwisle, 2014). As a result, the government is now responsible for providing fundamental services in the lives of all individual citizens (Spallini, 2014). Unfortunately, notwithstanding the increase in demand, given the current ongoing recession, the public services sector suffers from a lack of financial resources. In order to resolve this conict, the PA must adopt the strategy of increasing the efficiency of producing public services, while at the same time reducing and streamlining costs. To do this, the production of public services must be rationalized by adopting more efficient management models (Andrews and Entwisle, 2014). The aim of this paper is to analyse the efficiency of management in the municipal waste service in Italian cities and to find and examine the connection between the levels of efficiency and the management model adopted by each city. This study uses Data Envelopment Analysis to calculate a score for efficiency and to investigate the economies of scale in reference to the management models used. As a primary result, we have identified a positive relationship between dimension and efficiency, given that we discovered more efficient management models with public capital or mixed publicprivate rather than those operating with only private equity capital. [ABSTRACT FROM AUTHOR]

The amelioration of air quality represents one of the most complex challenges that the European Union is facing today. Although a successful strategy to improve air quality should decisively act on pollution sources, Nature-Based Solutions (NBS) may provide a huge contribution to tackle air pollution, while delivering a wide range of Ecosystem Services and enhancing the Natural Capital. In this paper, we analyzed, in both biophysical and monetary terms, the role of the Urban Green Infrastructure (UGI) in improving air quality in the Metropolitan City of Naples (Southern Italy) by implementing an accounting model of PM 10 removal. Our findings indicate that about 1,148 Mg of PM 10 were annually removed by the UGI, for a monetary value of 36 million euros per year. We also assessed the impact of a devastating wildfire that occurred in 2017 in the study area, which resulted in a loss of PM 10 removal of about 97 Mg and led to an estimated monetary loss of 3 million euros per year. The results also showed that PM 10 removal efficiency largely varies seasonally and across different functional groups of vegetation, highlighting the role of functional biodiversity in the provision of Ecosystem Services under Mediterranean climate conditions. In conclusion, we maintain that the biophysical and economic assessment of Ecosystem Services can support local managers and policymakers in charge of developing urban planning strategies aimed at ensuring sustainable development and human well-being in metropolitan cities. [ABSTRACT FROM AUTHOR]

Natural and anthropogenic subsidence such as that in the Como urban area (northern Italy) can cause significant damage to structures and infrastructure, and expose the city's lakefront to an increasing risk of inundation from Lake Como. This phenomenon affecting the Como basin has been studied by several researchers, and the major drivers of subsidence are known. However, the availability of historical InSAR data allowed us to reconsider the relationship between subsidence predisposing factors (i.e., the thicknesses of reworked and compressible layers, overburden stress, and the piezometric level) and ground surface displacements with higher precision over the entire basin. Benefiting from the deep knowledge of the hydromechanical setting of the Como basin and the availability of InSAR measurements from 1992 to 2010, in this paper we model subsidence-related movements using linear and nonlinear regression methods in order to determine the combination of natural and anthropic factors that have caused subsidence in the Como basin over the past decades. The results of this study highlight peculiar patterns of subsidence that suggest the influence of two further causes, namely tectonic control of the sedimentary architecture and diversion of local streams, which have never been considered before. This analysis aims to assess the spatial distribution of subsidence through InSAR analysis in order to enhance the knowledge and understanding of the phenomenon in the Como urban area. The interferometric data could be used to better plan urban risk management strategies. [ABSTRACT FROM AUTHOR]

Seismic microzonation represents a basic tool for prevention activity planning and land management. An extensive and detailed microzonation study was performed with reference to the territory of the Municipality of Cavezzo, damaged during the seismic sequence hitting Emilia-Romagna Region, Northern Italy, in 2012. In this paper, we discuss the work carried out to characterize the spatial variability of ground motion amplification due to local soil conditions in the municipality area. An inter- and multi-disciplinary approach is presented, involving geotechnical engineers, geophysicists, geologists and seismologists from different institutions, to thoroughly characterize the territory using complementary techniques with different level of resolution and confidence. A considerable amount of geomorphological, geological, hydrogeological, seismological, geotechnical and geophysical investigations was collected and processed for the purpose. A GIS-based (Geographic Information System) platform was initially setup to manage the gathered data, which now includes the results of about 1000 geotechnical and geophysical tests. Such an extended dataset was then used as a primary constraint for the creation of a comprehensive pseudo-3D geotechnical and seismo-stratigraphic model of the territory, consisting of a dense grid of one-dimensional vertical profiles to depict the variability of the soil properties over the area. The model was finally used as input for linear-equivalent ground response analysis. For the calculation of the amplification factors, special emphasis was given to the treatment and propagation of the uncertainties of the model parameters, whose different realizations have been accounted through a logic tree approach. • The spatial variability of ground motion was analysed in Cavezzo, Italy. • Geological, seismological, geotechnical and geophysical analyses were performed. • A GIS platform was setup including about 1000 geotechnical and geophysical tests. • A pseudo-3d seismo-stratigraphic model was created to compute amplification factors. [ABSTRACT FROM AUTHOR]

Complexity is a widely acknowledged feature of urban areas. Among the different levels to which this definition applies, the energy sector is one of the most representative of this way of conceiving cities. An evidence of this complexity can be detected in the growing impact of prosumers. Prosumers produce energy to meet their own demands, distribute it directly to neighbors and, eventually, store the energy neither consumed nor distributed. The modelling of distribution networks is a challenging task that requires ad hoc models to simulate the mutual energy exchanges occurring among prosumers. To serve at this scope, this paper proposes an agent-based model aiming at determining which operating conditions enhance the energy distribution among prosumers and diminish the supply from traditional power plants. An application of the model within a residential territory is then presented and simulations are conducted under two scenarios: the first investigating the distribution among prosumers equipped with photovoltaics (PV) systems, the second integrating energy storage systems to PV panels. Both scenarios are studied at varying the installed PV capacity within the territory, the allowed distance of connection among prosumers, as well as the rate of utilization of the links of the network. Results from the simulated case study reveal that the energy distribution among prosumers can be enhanced by providing short-range links for the electricity exchange. Similar advantages can be achieved by integrating storage systems to PV, along with a significant reduction in the electricity requested to the centralized grid. [ABSTRACT FROM AUTHOR]

Recent strategic policies and regulations dealing with market liberalization and decarbonization plans, such as the European directives contained in the recent EU Clean Energy for All Europeans Package, are seeking to promote new roles for citizens in the management of the self-produced renewable energy and the development of local energy markets. In this context, this paper aims at presenting the planning actions for the transition of the current passive distribution system of the Municipality of Berchidda (Italy) towards a smart local energy community. This planning study represents the first stage of a development action financed by the Sardinian Region, whose Regional Energetic and Environmental Plan identifies the Municipality of Berchidda as a priority area to focus the experimental actions for innovative smart grids and intelligent energy management. The project, named "Berchidda Energy 4.0", focuses on increasing the energy efficiency of the community by boosting local renewable generation production and maximizing its self-consumption, also with the support of storage systems, as well as increasing the active involvement of the consumers that will be equipped with a smart home automation system for demand response applications. [ABSTRACT FROM AUTHOR]