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21 pages, 6004 KiB  
Article
Accessibility and Older and Foreign Populations: Exploring Local Spatial Heterogeneities across Italy
by Massimo Armenise, Federico Benassi, Maria Carella and Roberta Misuraca
Economies 2024, 12(9), 248; https://doi.org/10.3390/economies12090248 - 16 Sep 2024
Abstract
The interplay between accessibility and population change is a relatively new subject in Italian academic research. Along with social and economic factors such as regional economic prosperity, the ease of movement inside and outside an area can play a pivotal role in shaping [...] Read more.
The interplay between accessibility and population change is a relatively new subject in Italian academic research. Along with social and economic factors such as regional economic prosperity, the ease of movement inside and outside an area can play a pivotal role in shaping population dynamics. This study seeks to explore the spatial distribution and spatial relationships of three indicators, including one related to real accessibility (RAI) and two others related, respectively, to the shares of the older population (SOP) and of the foreign population (SFP). An exploratory spatial data analysis is, therefore, conducted at the local level using Italian municipalities as the statistical units for the empirical analysis. Local univariate spatial autocorrelation analysis is used together with a regression analysis based on ordinary least squares (OLS) and geographically weighted regression (GWR) models. The results provide valuable insights into the local heterogeneity that characterizes the distribution of each indicator and the local relationship between them, highlighting the importance of thinking locally in quantitative social sciences. Full article
(This article belongs to the Special Issue Demographics and Regional Economic Development)
29 pages, 784 KiB  
Article
The Central Functions of Cities in Poland in Light of Administrative Reform
by Katarzyna Przybyła, Maria Hełdak, Marian Kachniarz, David Ramsey, Alina Kulczyk-Dynowska and Katarzyna Szara
Sustainability 2024, 16(18), 8097; https://doi.org/10.3390/su16188097 (registering DOI) - 16 Sep 2024
Abstract
The aim of this article is to determine and assess the changes in the central functions of major Polish cities in the context of Poland’s 1999 administrative reform. This study covers a period of twenty-two years (1998–2019), which provides a solid perspective for [...] Read more.
The aim of this article is to determine and assess the changes in the central functions of major Polish cities in the context of Poland’s 1999 administrative reform. This study covers a period of twenty-two years (1998–2019), which provides a solid perspective for evaluating the functional changes occurring within the current territorial division of the country. The conclusions indicate that the dynamics of changes in central functions in former provincial capitals differed from those in cities that retained this status. At the same time, it was found that the administrative reform sanctioned the scope and scale of earlier socio-economic dependencies in the present regional centers. The research results suggest that administrative reforms in Poland solidified existing socio-economic development paths in cities, but were not the sole catalyst for change. They point to a complex interaction of factors influencing urban evolution. By utilizing indicators that measure the centrality of cities in relation to their demographic potential, this research offers a quantitative assessment of the level of development of central functions, which is crucial for monitoring progress towards sustainable urbanization. By providing this information, this research also contributes to a broader discussion on the advancement and dynamics of sustainable urban development. Full article
19 pages, 10340 KiB  
Article
Features of Temporal Variability of the Concentrations of Gaseous Trace Pollutants in the Air of the Urban and Rural Areas in the Southern Baikal Region (East Siberia, Russia)
by Maxim Y. Shikhovtsev, Yelena V. Molozhnikova, Vladimir A. Obolkin, Vladimir L. Potemkin, Evgeni S. Lutskin and Tamara V. Khodzher
Appl. Sci. 2024, 14(18), 8327; https://doi.org/10.3390/app14188327 (registering DOI) - 15 Sep 2024
Viewed by 349
Abstract
This article presents the results of the automatic monitoring of the concentrations of gaseous impurities of sulfur and nitrogen oxides in the ground-level atmosphere of the urban and rural areas in the Southern Baikal region (East Siberia, Russia). The study was conducted from [...] Read more.
This article presents the results of the automatic monitoring of the concentrations of gaseous impurities of sulfur and nitrogen oxides in the ground-level atmosphere of the urban and rural areas in the Southern Baikal region (East Siberia, Russia). The study was conducted from 2020 to 2023 at the urban Irkutsk station and the rural Listvyanka station located at a distance of 70 km from each other. We calculated the main statistical characteristics of the variations in the concentrations of nitrogen oxides and sulfur dioxide in the ground-level atmosphere and determined a nature of variability in their concentrations on various time scales: annual, weekly, and daily. Annual variabilities of gaseous pollutants in the ground-level atmosphere above the Irkutsk city and the Listvyanka settlement were similar and showed the highest values in winter and the lowest in summer. The daily and weekly dynamics of the nitrogen oxide concentrations in the urban area clearly depended on the increase in the road traffic during rush hours (morning and evening). In the rural area, there was no such dependence. In this area, the daily and weekly variability in the concentrations of nitrogen oxides and sulfur dioxide mainly depended on natural meteorological processes. The work systematizes the meteorological parameters at which the largest amount of anthropogenic impurities enters the air basin of Lake Baikal. The maximum values of acid-forming gas concentrations were observed when the air masses were transferred from the northwest direction, which corresponds to the location of sources in the territory of the Irkutsk–Cheremkhovo industrial hub—the largest concentration of anthropogenic objects in the Irkutsk region. Full article
(This article belongs to the Special Issue Air Pollution and Its Impact on the Atmospheric Environment)
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<p>Layout of the Irkutsk (IRK) and Listvyanka (LSTV) monitoring stations and the main sources of air pollution in the study region.</p>
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<p>An example of the accumulation of online monitoring data in the Grafana system on the LIN SB RAS server (Irkutsk).</p>
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<p>Frequency distribution graphs of 20-minute averaged concentrations of SO<sub>2</sub>, NO, and NO<sub>2</sub> at the Irkutsk and Listvyanka monitoring stations during the heating (blue) and non-heating (red) seasons. The ordinate axis shows the recurrence of the concentrations within a certain range. The abscissa axis shows the pollutant concentration ranges. The data are averaged for 2020–2023.</p>
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<p>Intra-annual variability of sulfur dioxide (SO<sub>2</sub>) concentrations at the Irkutsk and Listvyanka stations from 2020 to 2023, without atypical values (outliers). The ordinate axis shows the concentrations (µg/m<sup>3</sup>); the abscissa axis shows the month. The diagram shows the median (bold line), the first quartile (lower boundary of the box), and the third quartile (upper boundary of the box).</p>
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<p>Intra-annual variability of nitrogen dioxide (NO<sub>2</sub>) concentrations at the Irkutsk and Listvyanka stations from 2020 to 2023, without atypical values (outliers). The ordinate axis shows the concentrations (µg/m<sup>3</sup>); the abscissa axis shows the month. The diagram shows the median (bold line), the first quartile (lower boundary of the box), and the third quartile (upper boundary of the box).</p>
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<p>Intra-annual variability of nitrogen oxide (NO) concentrations at the Irkutsk and Listvyanka stations from 2020 to 2023, without atypical values (outliers). The ordinate axis shows the concentrations (µg/m<sup>3</sup>); the abscissa axis shows the month. The diagram shows the median (bold line), the first quartile (lower boundary of the box), and the third quartile (upper boundary of the box).</p>
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<p>Weekly and daily variations in the concentrations of nitrogen and sulfur oxides in the heating (October to April, blue) and non-heating (May to September, red) seasons. Shading shows the 95% confidence intervals of the mean value.</p>
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<p>NWR analysis for the 20-min concentrations of SO<sub>2</sub>, NO<sub>2</sub>, and NO at the Listvyanka station in the polar coordinate system from January 2020 to December 2023.</p>
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<p>Episode of severe air pollution at the Listvyanka station on 13 and 14 December 2023: (<b>a</b>) variability of the 20-min concentrations of gaseous pollutants (SO<sub>2</sub>, NO<sub>2</sub>, NO); (<b>b</b>,<b>c</b>) vertical profiles of the air temperature at the Listvyanka station; (<b>c</b>–<b>f</b>) temperature stratification at the Angarsk station based on radiosonde data (the dotted line reflects the altitude of the temperature inversion boundary).</p>
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<p>Air mass transport trajectories from large anthropogenic sources in Irkutsk, Angarsk, and Shelekhov calculated using the HYSPLIT model: (<b>a</b>) 13 December 2023 (6 a.m.) and (<b>b</b>) 14 December 2023 (10 p.m.).</p>
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27 pages, 10973 KiB  
Article
Integrating Technological Environmental Design and Energy Interventions in the Residential Building Stock: The Pilot Case of the Small Island Procida
by Giada Romano, Serena Baiani and Francesco Mancini
Sustainability 2024, 16(18), 8071; https://doi.org/10.3390/su16188071 - 15 Sep 2024
Viewed by 299
Abstract
The next decade will see severe environmental and technological risks, pushing our adaptive capacity to its limits. The EPBD Case Green directive, to counter this phenomenon, emphasizes accelerating building renovations, reducing GHG emissions and energy consumption, and promoting renewable energy installations. Additionally, it [...] Read more.
The next decade will see severe environmental and technological risks, pushing our adaptive capacity to its limits. The EPBD Case Green directive, to counter this phenomenon, emphasizes accelerating building renovations, reducing GHG emissions and energy consumption, and promoting renewable energy installations. Additionally, it calls for deadlines to phase out fossil fuels and mandates solar system installations. This research provides a comprehensive perspective on the opportunities for and challenges of incorporating renewable energy into the built environment. It focuses on the 2961 residential buildings on Procida, a small island located south of Italy, to efficiently utilize energy resources and lay the groundwork for sustainability. Beginning with an analysis of the territorial, urban, historical–conservation, structural, and geological context, in addition to environmental assessments, the research develops a classification and archetypalization system using in-house software. This system aggregates data on the island’s residential buildings, analyzes their current state, and formulates various intervention scenarios. These scenarios demonstrate how integrating technological–environmental design interventions, such as upgrading the building envelope and enhancing bioclimatic behavior, with energy retrofitting measures, such as replacing mechanical systems and installing solar panels, can improve the overall performance of the existing building stock and achieve energy self-sufficiency. Full article
(This article belongs to the Special Issue Renewable Energies in the Built Environment)
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<p>Framework of the research methodology.</p>
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<p>Number of dwellings divided into building construction period.</p>
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<p>Number of residential buildings divided by average size.</p>
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<p>Number of residential buildings divided into number of floors above ground level.</p>
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<p>Occupancy of residential buildings.</p>
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<p>(<b>left</b>) Typology of heating systems; (<b>right</b>) cooling systems.</p>
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<p>Typology of domestic hot water production systems.</p>
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<p>Tuff used in masonry according to two main techniques: the so-called “<span class="html-italic">a cantieri</span>” technique (<b>on the left</b>); and the so-called “<span class="html-italic">a blocchetti</span>” technique (<b>on the right</b>).</p>
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<p>(<b>left</b>) Example of masonry with “<span class="html-italic">a cantieri</span>” construction; (<b>right</b>) stratigraphy of the masonry from the exterior to the interior.</p>
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<p>(<b>left</b>) Example of masonry with “<span class="html-italic">a blocchetti</span>” construction; (<b>right</b>) stratigraphy of the masonry from the exterior to the interior.</p>
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<p>(<b>left</b>) Shading of the area on 21 June; (<b>right</b>) shading of the area on 21 December.</p>
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<p>(<b>left</b>) Shading of the area on 21 June; (<b>right</b>) shading of the area on 21 December.</p>
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<p>(<b>left</b>) Shading of the area on 21 June; (<b>right</b>) shading of the area on 21 December.</p>
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<p>Identification of archetypes on the island plan.</p>
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<p>Frequency of suggested interventions in percentages for the different size categories for reducing primary energy consumption.</p>
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<p>Frequency of suggested interventions in percentages for the different archetypes for primary energy reduction.</p>
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<p>Frequency of suggestion of interventions in total percentages for primary energy reduction.</p>
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<p>Comparative evaluation of intervention scenarios in terms of energy demand and associated CO<sub>2</sub> emissions divided by dwelling size.</p>
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<p>Comparative evaluation of intervention scenarios in terms of energy demand and associated CO<sub>2</sub> emissions divided by archetype.</p>
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25 pages, 2569 KiB  
Article
Preclinical Development of a Novel Zika Virus-like Particle Vaccine in Combination with Tetravalent Dengue Virus-like Particle Vaccines
by Dominik A. Rothen, Sudip Kumar Dutta, Pascal S. Krenger, Alessandro Pardini, Anne-Cathrine S. Vogt, Romano Josi, Ilva Lieknina, Albert D. M. E. Osterhaus, Mona O. Mohsen, Monique Vogel, Byron Martina, Kaspars Tars and Martin F. Bachmann
Vaccines 2024, 12(9), 1053; https://doi.org/10.3390/vaccines12091053 - 14 Sep 2024
Viewed by 204
Abstract
Declared as a Public Health Emergency in 2016 by the World Health Organization (WHO), the Zika virus (ZIKV) continues to cause outbreaks that are linked to increased neurological complications. Transmitted mainly by Aedes mosquitoes, the virus is spread mostly amongst several tropical regions [...] Read more.
Declared as a Public Health Emergency in 2016 by the World Health Organization (WHO), the Zika virus (ZIKV) continues to cause outbreaks that are linked to increased neurological complications. Transmitted mainly by Aedes mosquitoes, the virus is spread mostly amongst several tropical regions with the potential of territorial expansion due to environmental and ecological changes. The ZIKV envelope protein’s domain III, crucial for vaccine development due to its role in receptor binding and neutralizing antibody targeting, was integrated into sterically optimized AP205 VLPs to create an EDIII-based VLP vaccine. To increase the potential size of domains that can be accommodated by AP205, two AP205 monomers were fused into a dimer, resulting in 90 rather than 180 N-/C- termini amenable for fusion. EDIII displayed on AP205 VLPs has several immunological advantages, like a repetitive surface, a size of 20–200 nm (another PASP), and packaged bacterial RNA as adjuvants (a natural toll-like receptor 7/8 ligand). In this study, we evaluated a novel vaccine candidate for safety and immunogenicity in mice, demonstrating its ability to induce high-affinity, ZIKV-neutralizing antibodies without significant disease-enhancing properties. Due to the close genetical and structural characteristics, the same mosquito vectors, and the same ecological niche of the dengue virus and Zika virus, a vaccine covering all four Dengue viruses (DENV) serotypes as well as ZIKV would be of significant interest. We co-formulated the ZIKV vaccine with recently developed DENV vaccines based on the same AP205 VLP platform and tested the vaccine mix in a murine model. This combinatory vaccine effectively induced a strong humoral immune response and neutralized all five targeted viruses after two doses, with no significant antibody-dependent enhancement (ADE) observed. Overall, these findings highlight the potential of the AP205 VLP-based combinatory vaccine as a promising approach for providing broad protection against DENV and ZIKV infections. Further investigations and preclinical studies are required to advance this vaccine candidate toward potential use in human populations. Full article
(This article belongs to the Special Issue Virus-Like Particle Vaccine Development)
30 pages, 17772 KiB  
Article
The Effects of Flood Damage on Urban Road Networks in Italy: The Critical Function of Underpasses
by Laura Turconi, Barbara Bono, Rebecca Genta and Fabio Luino
Land 2024, 13(9), 1493; https://doi.org/10.3390/land13091493 - 14 Sep 2024
Viewed by 446
Abstract
The urban areas of Mediterranean Europe, and particularly Italy, have experienced considerable expansion since the late 19th century in terms of settlements, structures, and infrastructure, especially in large population centers. In such areas, the geohydrological risk is high not only for inhabited areas [...] Read more.
The urban areas of Mediterranean Europe, and particularly Italy, have experienced considerable expansion since the late 19th century in terms of settlements, structures, and infrastructure, especially in large population centers. In such areas, the geohydrological risk is high not only for inhabited areas but also along roadways exposed to flooding. This scenario is worrying, especially in road underpass sections, where drivers are unlikely to perceive a real risk due to the high degree of confidence that comes from the habit of driving. Underpasses have been widely used to obviate the need to find shorter alternative routes and manage vehicular traffic in urban settings impeded by previous anthropogenic and natural constraints. To assess the numerical consistency, frequency, and areal distribution of flood risk around road underpasses, several hundred pieces of data were selected (mostly from international, national and local newspapers, CNR IRPI archive and local archives) and cataloged in a thematic database, referring mainly to the Italian territory. The behavioral aspects in the face of risk were also examined in order to provide a better understanding and raise awareness for preventive purposes. The results of this specific CNR research, which lasted about two years, confirm the exposure of underpasses to extreme risk events, affecting road users. In Italy alone, between 1942 and 2023, 698 underpasses were identified as having experienced a flooding event at least once. The database shows that 680 vehicles were involved in Italy, with a total of at least 812 individuals, of whom 19 died. Despite incomplete and uneven information, the findings of the analysis regarding the increment in underpasses flooding and the drivers action in front of a flooded underpass may be useful for undertaking the appropriate mitigation strategies. Full article
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<p>Flooded underpasses analyzed in the dataset [<a href="#B40-land-13-01493" class="html-bibr">40</a>,<a href="#B41-land-13-01493" class="html-bibr">41</a>,<a href="#B42-land-13-01493" class="html-bibr">42</a>,<a href="#B43-land-13-01493" class="html-bibr">43</a>,<a href="#B44-land-13-01493" class="html-bibr">44</a>,<a href="#B45-land-13-01493" class="html-bibr">45</a>] that occurred in Italian areas in the past and in recent years. (<b>a</b>) Historical image of flooded underpass that occurred in Turin city (Piedmont, northwestern Italy) published in a national newspaper in 1983; (<b>b</b>) Sant’Elena, near Padua city, in Oriental Alps River Basin Districts in 2014; (<b>c</b>) Tradate city, in Po River Basin Districts in 2017; (<b>d</b>) Palermo city, in Sicily River Basin Districts in 2018; (<b>e</b>) Castellanza city, near Varese, in Po River Basin Districts in 2023; (<b>f</b>) Riccione city, in Central Appennine River Basin Districts in 2023.</p>
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<p>Subdivision of Italy by RBDs according to Floods Directive 2007/60/EC [<a href="#B48-land-13-01493" class="html-bibr">48</a>,<a href="#B49-land-13-01493" class="html-bibr">49</a>].</p>
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<p>Diachronic mapping of built-up area in a representative urban region, Grosseto city, Tuscany, North Appennine RBD (data source: CNR-IRPI archive). From left to right, the use of historical maps (1843) and remote sensing data in the form of aerial photographs, from 1954 (as reported in the central image of the figure) to early 2000s, and satellite imagery from the early 2000s to today is presented.</p>
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<p>Comparison of urbanized areas per CLC, 1990 and 2018 [<a href="#B51-land-13-01493" class="html-bibr">51</a>], per RBD. For each RBD, there is an increment on urbanized square kilometers, especially Po, Oriental Alps, and South Appennine RBD.</p>
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<p>Number of floods in whole Italian territory caused by heavy rain. Since 2018, there is a significant increment of this type of events and the increment is still ongoing [<a href="#B77-land-13-01493" class="html-bibr">77</a>].</p>
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<p>Example of integrated analysis of data planimetric variations of a short stretch of Stura di Lanzo River, northwest of Torino (Piemonte Region, Po RBD), period 1878–2000, obtained from the transposition of pattern in a GIS project of historical maps and aerial photographs found at CNR-IRPI in Turin and satellite images.</p>
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<p>Width reductions in terminal stretches of Roja River in coastal plains (Ventimiglia, Liguria, North Appennine RBD) measured via GIS using historical maps (1836) and current satellite images (2023).</p>
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<p>Distribution of underpasses obtained from technical maps [<a href="#B91-land-13-01493" class="html-bibr">91</a>] overlapping flooded areas in 2016 flood in Piedmont (Po RBD). Black dots indicate the underpasses manually individuated, while red dots indicate the underpasses present in Piedmont Cadastre. This flood could have a significant increment of flooded underpasses reported. The red outline indicates the urbanized area (as per 2018 CLC).</p>
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<p>Distribution of flooded underpasses in RBD areas, 1942–2023 (identified by the color of the outline shown in <a href="#land-13-01493-f002" class="html-fig">Figure 2</a>).</p>
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<p>Trends in Italian population (black line) and number of vehicles registered in Italy (green line) since 1942, in relation to surveyed flooded underpasses (red line). A steady increase in vehicles and higher number of floods since 2010 can be seen. The availability of online news and easier retrieval of data allowed details for the last 15 years. This graph does not consider the effect of changes in rainfall.</p>
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<p>Annual distribution of flooding events at surveyed underpasses in Italy by RBD, 2014–2023.</p>
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<p>Seasonal distribution of flooding events of surveyed underpasses in Italy by RBD.</p>
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<p>Starting from aerial and satellite images (<b>a</b>,<b>d</b>), proceeding with the restitution in flooded areas maps (<b>b</b>,<b>e</b>), finally it is possible to identify the underpasses affected by the flooding events (<b>c</b>,<b>f</b>). The example in the figure illustrates the 1994 (<b>a</b>–<b>c</b>) and the 2016 (<b>d</b>–<b>f</b>) flood event in Alessandria municipality (Piemonte region, Po RBD) (areas in blue), captured by aerial photography or satellite images (CNR IRPI archives and [<a href="#B92-land-13-01493" class="html-bibr">92</a>]). The dots in light blue indicate the underpasses flooded, while the red ones indicate the remaining ones recorded in the Piemonte Cadastre. In this area, the database obtained from the search of newspaper sources alone did not identify any underpasses involved neither in the 1994 event nor in the 2016 one. The areas affected by floods are in the same location most of the time (<b>g</b>), causing a reiteration in flooded underpasses (<b>h</b>). All flooded underpasses are located in a PGRA class [<a href="#B48-land-13-01493" class="html-bibr">48</a>,<a href="#B49-land-13-01493" class="html-bibr">49</a>].</p>
Full article ">Figure 13 Cont.
<p>Starting from aerial and satellite images (<b>a</b>,<b>d</b>), proceeding with the restitution in flooded areas maps (<b>b</b>,<b>e</b>), finally it is possible to identify the underpasses affected by the flooding events (<b>c</b>,<b>f</b>). The example in the figure illustrates the 1994 (<b>a</b>–<b>c</b>) and the 2016 (<b>d</b>–<b>f</b>) flood event in Alessandria municipality (Piemonte region, Po RBD) (areas in blue), captured by aerial photography or satellite images (CNR IRPI archives and [<a href="#B92-land-13-01493" class="html-bibr">92</a>]). The dots in light blue indicate the underpasses flooded, while the red ones indicate the remaining ones recorded in the Piemonte Cadastre. In this area, the database obtained from the search of newspaper sources alone did not identify any underpasses involved neither in the 1994 event nor in the 2016 one. The areas affected by floods are in the same location most of the time (<b>g</b>), causing a reiteration in flooded underpasses (<b>h</b>). All flooded underpasses are located in a PGRA class [<a href="#B48-land-13-01493" class="html-bibr">48</a>,<a href="#B49-land-13-01493" class="html-bibr">49</a>].</p>
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<p>Percentage distribution of the underpasses flooding causes for the complete database (period 1942–2023) (<b>a</b>) and for the reduced period 2010–2023 (<b>b</b>) in the four categories considered (pluvial flooding, urban flooding, fluvial flooding, coastal flooding).</p>
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<p>Underpass flooding in each RBD, 2010–2023, in relation to cumulative annual rainfall.</p>
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<p>Distribution of underpass flooding events by flood warning system and PGRA class (%). Red indicates underpasses without preventive measures, and green indicates underpasses with prevention.</p>
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<p>Distribution of vehicle involvement during flooding events of surveyed underpasses by time slot: 00:01 to 06:00 a.m., 06:01 to 12:00 p.m., 12:01 to 06:00 p.m., and 06:01 to 12:00 a.m. (night, morning, afternoon, and evening, respectively). The sample includes only the 195 events for which information was available.</p>
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<p>Behavior of some drivers in front of flooded underpass during event of 10 March 2024 in Monza province (Northern Italy, Po RBD). Different reactions can be observed: Vehicles in red circles pass, encouraged by van’s passing, which is higher off the ground than cars. The vehicle in the yellow circle stops, but it is unclear whether it will proceed further. A similar indication may have been apparent for the observer filming from the opposite side of the scene. There is nothing to suggest whether he too passed through flooded subway or merely filmed the scene. There is no reason to assume that the observer called for help or dissuaded drivers from going toward the underpass from his direction. The vehicle in the green circle was the only one to leave the underpass, reversing its direction, probably seeking an alternative route. No guards had been put in place by responsible parties or volunteers. There is no indication as to whether this underpass has signs warning of potential flooding (modified video frame from [<a href="#B99-land-13-01493" class="html-bibr">99</a>]).</p>
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<p>Flooded underpass during the event of May 2024 near Milan (Po RBD).</p>
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10 pages, 549 KiB  
Article
Using Vaccine Safety Data to Demonstrate the Potential of Pooled Data Analysis
by Steven Hawken, Lindsay A. Wilson and Kumanan Wilson
Vaccines 2024, 12(9), 1052; https://doi.org/10.3390/vaccines12091052 - 14 Sep 2024
Viewed by 260
Abstract
In Canada, vaccine safety studies are often conducted at the provincial/territorial level where the primary data on vaccination reside. Combining health services data from multiple jurisdictions using a pooled data analytic approach would reduce the amount of time needed to detect vaccine safety [...] Read more.
In Canada, vaccine safety studies are often conducted at the provincial/territorial level where the primary data on vaccination reside. Combining health services data from multiple jurisdictions using a pooled data analytic approach would reduce the amount of time needed to detect vaccine safety signals. To determine the difference in the time it would take to identify safety signals using different proportions of the Canadian population, we conducted power and sample size calculations for a hypothetical self-controlled case series-based surveillance analysis. We used scenarios modeled after the real-world examples of myocarditis and vaccine-induced immune thrombotic thrombocytopenia (VITT) following COVID-19 vaccination as our base cases. Our calculations demonstrated that in the case of a myocarditis-type event, a pooled analysis would reduce the time needed to detect a safety signal by over 60% compared to using Ontario data alone. In the case of a VITT-type event, a pooled analysis could detect a safety signal 49 days sooner than using Ontario data alone, potentially averting as many as 30 events. Our analysis demonstrates that there is substantial value in using pan-Canadian health services data to evaluate the safety of vaccines. Efforts should be made to develop a pan-Canadian vaccine data source to allow for an earlier evaluation of suspected adverse events following immunization. Full article
(This article belongs to the Section Vaccine Efficacy and Safety)
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<p>Days of mass vaccination throughput required to accrue sufficient events to detect: (1) myocarditis assuming relative incidence (RI) = 3.0, incidence = 1/100,000 in overall population, and (2) vaccine-induced immune thrombocytopenia and thrombosis assuming RI = 5.0, incidence = 1.5/100,000 in M/F 18–39 yrs. Assumptions: Power: 90%; two-sided alpha: 0.05; risk period: 28 days; observation window: 180 days. The same relative throughput achieved in Ontario has been assumed to be possible in other jurisdictions (~0.35% of the eligible population/day). Abbreviations: AB, Alberta; BC, British Columbia; MB, Manitoba; ON, Ontario; PQ, Province of Quebec; SK, Saskatchewan.</p>
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37 pages, 2462 KiB  
Article
Current Framework of Italian Agriculture and Changes between the 2010 and 2020 Censuses
by Luca Altamore, Pietro Chinnici, Simona Bacarella, Stefania Chironi and Marzia Ingrassia
Agriculture 2024, 14(9), 1603; https://doi.org/10.3390/agriculture14091603 - 13 Sep 2024
Viewed by 272
Abstract
This study aims to describe the current framework of the Italian agricultural sector and the changes that occurred in the decade between the two general censuses of agriculture of 2010 and 2020, and the EU Common Agricultural Policy (CAP) programming period 2014–2020. The [...] Read more.
This study aims to describe the current framework of the Italian agricultural sector and the changes that occurred in the decade between the two general censuses of agriculture of 2010 and 2020, and the EU Common Agricultural Policy (CAP) programming period 2014–2020. The General Census of Agriculture is an economic census carried out to fulfill international and EU legislation requirements, but also to meet national information needs. It consists in counting farms and identifying their characteristics. For this study, the official data of the 7th Italian General Census of Agriculture (GCA) of 2020 were collected, analyzed, and compared to those of the previous 6th GCA of 2010. Farms’ type of activities, structure, digitalization/computerization, innovation, and workforces’ characteristics were analyzed. Correlations between farms with investments in innovation and other variables like the age and the educational qualification of entrepreneurs and the farm’s size (agricultural used area) were calculated. Groups of similar Italian regions for types of farm and types of farming (segmenting the sector into subsets of regions that share common characteristics), and groups of similar farming characteristics in the entire agricultural sector, were highlighted. The results showed a notable positive correlation between farms’ investment in innovation and farms’ size, and a medium but positive correlation also with other two variables, the entrepreneur’s range of age and educational qualification. Results found groups of regions that are similar in terms of types of farm and farming types, highlighting that the agricultural sector in Italy is not homogeneous among all the regions of north, center, and south. Moreover, the discovered different groups of farming characteristics highlighted the Italian “farm profiles”, i.e., descriptions of key information about different specific types of farm. The overall analysis of all the results of this study provided the current situation of the Italian agricultural sector and discussion about its characteristics and changes during the last ten years. Based on our knowledge, this study is the first one with such a level of comprehensiveness. Findings are of high interest to academics in agriculture economics and policy maker, because they contribute to identifying the farms’ and territories’ strategic elements that require strengthening to foster economic and social development. Moreover these findings may provide food for thought on the effectiveness of the development strategy of the EU CAP 2023–2027 (through greening and digitization) at the regional and European levels, starting from the baseline situation of this country, which is certainly one, but which is among the most relevant ones in the European agri-food system and also globally. Full article
(This article belongs to the Section Agricultural Economics, Policies and Rural Management)
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<p>Percentage variation between the two censuses 2010 and 2020 of farms by range of UAA (Italy, 2010 to 2020). Source: Authors’ elaboration of ISTAT data.</p>
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<p>Percentage variation between the two censuses from 2010 and 2020 of farms by range of UAA (Sicily, 2010 to 2020). Source: Authors’ elaboration of ISTAT data.</p>
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<p>Number of Italian farms that made investments for farm innovation (Italy, year 2020). Source: Authors’ elaboration of ISTAT data.</p>
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<p>Number of Sicilian farms that made investments for farm innovation (Sicily, year 2020). Source: Authors’ elaboration of ISTAT data.</p>
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<p>Types of activity connected to agriculture for Sicilian farms (Sicily, year 2020). Source: Authors’ elaboration of ISTAT data.</p>
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<p>Dendrogram—similarities among regions: sector segmentation (Group 1 green color, Group 2 blue color). Source: Authors’ elaboration of SPSS output.</p>
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<p>Dendrogram—similarities among variables: farms’ and farming profiles (Group 1 green color, Group 2 red color, Group 3 blue color, Group 4 black color). Source: Authors’ elaboration of SPSS output.</p>
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26 pages, 10142 KiB  
Article
Dispersal Ecology of Golden Eagles (Aquila chrysaetos) in Northern Greece: Onset, Ranging, Temporary and Territorial Settlement
by Lavrentis Sidiropoulos, D. Philip Whitfield, Konstantinos Poirazidis, Elisabeth Navarrete, Dimitris P. Vasilakis, Anastasios Bounas, Elzbieta Kret and Vassiliki Kati
Diversity 2024, 16(9), 580; https://doi.org/10.3390/d16090580 - 13 Sep 2024
Viewed by 426
Abstract
Natal dispersal is a crucial period for raptors with serious implications for individuals’ survival and population demography. In this study we analyzed data from 18 GPS-tracked golden eagles in order to describe their dispersal ecology in northern Greece, where the species feeds mostly [...] Read more.
Natal dispersal is a crucial period for raptors with serious implications for individuals’ survival and population demography. In this study we analyzed data from 18 GPS-tracked golden eagles in order to describe their dispersal ecology in northern Greece, where the species feeds mostly on tortoises. Young eagles in our population dispersed at 176 days post fledging, spent their first year of independence relatively close (40–60 kms) to their natal ranges and exhibited a variable temporary settlement behavior. Overall dispersal range sizes did not differ seasonally, but temporary settlement area range sizes were significantly larger in winter. Three eagles survived to territorial settlement and occupied ranges 20–60 kms from their natal areas. The application and refinement of the Scottish GET dispersal ranging model suggested that eagles used areas that had higher topographical relief and lower canopy cover during their natal dispersal. Habitat heterogeneity seems to also be influential during temporary settlement. Our study is the first to provide both such insights for golden eagles in southern eastern Europe and a method for delineating temporary settlement areas for the species. Our findings can be explained in terms of food and habitat availability. We highlight the importance of conserving heterogeneous open areas of complex topography and applying proactive management measures within temporary settlement areas for our population’s conservation. Full article
(This article belongs to the Special Issue Conservation and Ecology of Raptors—2nd Edition)
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<p>The Study area (inset is its position in SE Europe) with the natal territories of tagged chicks (2015–2023). Labels indicate number of tagged chicks in each territory.</p>
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<p>(<b>a</b>) Determination of dispersal onset for Eagle M000422 (left). Solid and dashed horizontal lines determine the 6 and 9 km from natal nest thresholds, respectively. The red vertical line marks the dispersal onset. (<b>b</b>) Overall distribution of dispersal onsets (<span class="html-italic">n</span> = 18) for the population (right), box contains interquartile range, thick black line indicates the median and the whiskers the min–max range.</p>
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<p>Smoothed mean and standard errors of roost site distancing to nest at the first 310 days post dispersal onset (<span class="html-italic">n</span> d<sub>0</sub> = 14, <span class="html-italic">n</span> d<sub>310</sub> = 10 individuals).</p>
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<p>Distributions, from left to right, of number of temporary settlement (TS) events per individual eagle (<span class="html-italic">n</span> = 14), <span class="html-italic">n</span> events per month of tracking and proportion of total tracking time spent in temporary settlement. Thick black lines indicate the median, boxes encompass the interquartile range and whiskers the min–max range.</p>
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<p>Minimum Convex Polygons of Temporary Settlement events across the study area. Red boundaries indicate areas of individual birds used in TSA conditional regression modeling.</p>
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<p>GET and GETc (bottom right) model variable classes’ use (light bars) and availability (dark bars), raw proportions. Significant relationships (proportions of availability not overlapping with use confidence intervals) are indicated by asterisks above each class.</p>
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<p>Cumulative fit performance (proportion of data belonging to each class or lower, highest preference is 10) of the GET model (black lines) and the GETc model incorporating the tree cover density (grey lines). Solid lines are the 75% training datasets, dotted lines are the 25% testing dataset and dot–dash lines the independent testing dataset.</p>
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<p>Preference Class prediction (highest preference is 10) for the GETc model for northern Greece and Bulgaria.</p>
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<p>Average preference class scores for the GET model (GET, (<b>left</b>)) and the GETc model (<b>right</b>) across the TSA polygon types, MCP, 95% MKDE isopleth (Range) and MKDE core area (Core).</p>
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<p>(<b>a</b>) Settlement graph for individual M000423 (above), not settled, and (<b>b</b>) individual M000434 (below) settled in a breeding territory. Red points indicate distance between roosts 10 days apart and black points the distance to the putative territory center (median coordinates of last 20 days of tracking roosts). The horizontal line indicates the 15 km distance threshold and the blue vertical line the date of territory settlement.</p>
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<p>(<b>a</b>) Settlement graph for individual M000423 (above), not settled, and (<b>b</b>) individual M000434 (below) settled in a breeding territory. Red points indicate distance between roosts 10 days apart and black points the distance to the putative territory center (median coordinates of last 20 days of tracking roosts). The horizontal line indicates the 15 km distance threshold and the blue vertical line the date of territory settlement.</p>
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<p>Visualization of the GET model (<b>a</b>, <b>left</b>), the GETc model (<b>b</b>, <b>center</b>) and the depicted landscape (<b>c</b>, <b>right</b>), Google Hybrid™. Overall suitability in the GETc model was lower in areas of uniform forest cover (e.g., areas enclosed in red ellipse). White dots represent the locations of three individuals.</p>
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17 pages, 2946 KiB  
Article
Influence of Forest Management on the Sustainability of Community Areas in Northern Inland Portugal: A Simulated Case Study Assessment
by André Sandim, Dalila Araújo, Teresa Fonseca and Maria Emília Silva
Sustainability 2024, 16(18), 8006; https://doi.org/10.3390/su16188006 - 13 Sep 2024
Viewed by 319
Abstract
The northern inland region of Portugal has experienced significant population decline due to the exodus of younger generations and an aging population. This has led to the abandonment of traditional activities in these territories, contributing to territorial abandonment, degradation of local economic conditions, [...] Read more.
The northern inland region of Portugal has experienced significant population decline due to the exodus of younger generations and an aging population. This has led to the abandonment of traditional activities in these territories, contributing to territorial abandonment, degradation of local economic conditions, increased social vulnerability, and a heightened risk of rural fires. The presence of communal lands, known as “baldios”, is an important facilitator for implementing actions that revitalize local villages, making them more attractive to the community. Forests, which are abundant in the baldios of northern inland Portugal, have the potential to generate environmental, social, and economic value through carbon sequestration, job creation, population stabilization, and wealth generation in the villages. However, the viability of this asset as a driver for sustainable development depends on the forest management model implemented. This case study aims to demonstrate that different forest management models have varied impacts on sustainability indicators, particularly economic and environmental sustainability. Based on naturally regenerated forests in the Carvalhelhos baldio in the Tâmega Valley region, data were collected to simulate in software four management scenarios, varying the number (0 to 4) and age of thinnings until the final cut. The simulation allowed for the calculation of the following economic indicators: Internal Rate of Return (IRR), Net Present Value (NPV), and Net Profitability Index (NPI), as well as environmental indicators related to carbon capture and accumulation, such as Gross Carbon Accumulation, Net Carbon Accumulation, Carbon accumulated in dead and suppressed trees, and carbon balance per management model. The simulations indicate that, for the studied area, Scenario 2, which involves only one thinning, yielded the highest total wood volume (cubic meters per hectare) over the cycle, making it the most suitable for biomass production. Meanwhile, Scenario 4, with three thinnings, showed the best results for individual volume (cubic meters per tree), making it more suitable for producing higher-value logs. Scenario 5 presented the best economic results and carbon capture. In all simulations, Scenario 1 showed the worst performance in the analyzed indicators. It was found that the indicators varied among the studied crop plans, highlighting that the adoption of a silvicultural regime depends on the forest characteristics, objectives, exploitation conditions, and local population sensitivity to regional priorities. Full article
(This article belongs to the Section Sustainable Forestry)
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<p>(<b>a</b>) Location of the study area in Portugal, (<b>b</b>) Detailed boundaries of the study area (Google Earth, 2024), (<b>c</b>) General aspect of the forest before any intervention, (<b>d</b>) General aspect of the forest contained in the area after first thinning.</p>
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<p>Evolution of Standing Forest Volume Throughout the Cycle in Each Simulated Scenario.</p>
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<p>Evolution of the Number of Trees per Hectare for Each Analyzed Scenario from 16 to 45 Years of Age.</p>
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<p>Evolution of Individual Tree Volume in Each Simulated Scenario.</p>
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<p>Simulation of the Evolution of Aboveground Carbon Weight Captured by the Forest from 16 to 45 Years.</p>
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<p>Simulation of the Evolution of Carbon Weight in Dead and Thinned Trees Across the Five Evaluated Scenarios from 16 to 45 years.</p>
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<p>Simulation of the Evolution of Net Carbon Weight in the Forest Across the Evaluated Scenarios from 16 to 45 Years.</p>
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<p>Simulated Biomass and Carbon (in tons) Present in the Studied Forest at 45 Years Across the Five Adopted Scenarios.</p>
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<p>The balance between Carbon Stored in Fast−Cycling Biomass and Carbon Stored in Slow-Cycling Biomass.</p>
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<p>Number of trees per hectare above 20 cm diameter.</p>
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17 pages, 1310 KiB  
Article
Management of Mining Brownfields for Support of Regional Tourism
by Henrieta Pavolová, Tomáš Bakalár and Mário Molokáč
Sustainability 2024, 16(18), 7986; https://doi.org/10.3390/su16187986 - 12 Sep 2024
Viewed by 416
Abstract
Turbulent political and economic changes in 1989 caused the gradual decline of the mining industry in the Slovak Republic. Abandoned territorial localities were created, affected by mining activity, without any use with devastated mining objects, or even a certain form of environmental burden. [...] Read more.
Turbulent political and economic changes in 1989 caused the gradual decline of the mining industry in the Slovak Republic. Abandoned territorial localities were created, affected by mining activity, without any use with devastated mining objects, or even a certain form of environmental burden. These territorial locations used for mining in the past, unused currently, in varying degrees of devastation, are referred to as mining brownfields. This issue is topical, as there is constant urbanization of new territories. Mining brownfields often represent a certain form of territorial reserve to support tourism development. The present study deals with identifying the tourist potential of the Fedö shaft mining brownfield in the Červenica—Dubník area (Slovakia), which is included in the list of national cultural monuments. The study points out the need for reclamation from the point of view of supporting the development of a tourist destination based on the accessible mining brownfield—the Jozef tunnel—making it possible to use the interaction links of both mining brownfields in the investigated area of tourism. Based on the results of the conducted SWOT analysis, the study presents the quantification of the tourism development support potential of the analyzed mining brownfield. It also includes selected environmental, social, and economic aspects of the reclamation, and the definition of an effective strategy for usage of the examined mining brownfield as a tool to support tourism development. The article concludes a model of effective management of the use of mining brownfields in the field of tourism in Slovakia, which is constructed as open and modifiable in its interaction with the specification of diverse conditions of tourist destinations with integrated mining brownfields, which include old mine works. Full article
(This article belongs to the Section Tourism, Culture, and Heritage)
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<p>Graphical representation of the SWOT analysis of the Fedö shaft reclamation.</p>
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<p>Model of effective mining brownfield management for the sustainable development of regional tourism.</p>
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23 pages, 3240 KiB  
Article
Seismic Vulnerability Assessment of Masonry and RC Building Stocks: A Simplified Methodology
by Francesca Ferretti, Claudio Mazzotti and Marco Savoia
Buildings 2024, 14(9), 2890; https://doi.org/10.3390/buildings14092890 - 12 Sep 2024
Viewed by 281
Abstract
Assessing the seismic vulnerability of existing buildings at the territorial scale is a crucial aspect for seismic-prone regions to properly plan effective strategies for disaster risk management. This paper presents a simplified methodology for the seismic vulnerability assessment of existing masonry and reinforced [...] Read more.
Assessing the seismic vulnerability of existing buildings at the territorial scale is a crucial aspect for seismic-prone regions to properly plan effective strategies for disaster risk management. This paper presents a simplified methodology for the seismic vulnerability assessment of existing masonry and reinforced concrete buildings. The main purpose is to provide a tool able to evaluate the vulnerability of large building stocks, with the aim of defining priorities for further investigations or interventions. The procedure, inspired by methods in the literature devoted to the large-scale evaluation of structural vulnerability, allows defining the collapse peak ground acceleration (PGAc) through the evaluation of the resisting shear force, the latter being estimated by mechanical considerations and by taking expert judgment into account to consider the real structural complexities involved. A classification is proposed, which aims to categorize buildings within homogenous groups characterized by a level of seismic vulnerability belonging to given intervals. The method was calibrated with reference to several case studies in order to reach a sufficient level of reliability in the vulnerability estimate and was then applied to a significant number of school buildings in the province of Ravenna, Italy. For some of them, the simplified methodology was validated through comparisons with results obtained by means of vulnerability assessment procedures based on finite element analyses. Full article
(This article belongs to the Section Building Structures)
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<p>Scheme of the proposed methodology.</p>
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<p>Comparison between results obtained using the simplified methodology and nonlinear static analysis. (<b>a</b>) Considered masonry building, (<b>b</b>) equivalent frame model, and (<b>c</b>) pushover curves vs. resisting shear <span class="html-italic">V<sub>r</sub></span>.</p>
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<p>Capacity-to-demand ratios (<span class="html-italic">PGA<sub>c</sub></span>/<span class="html-italic">PGA<sub>d</sub></span>, in percentage) and identification of the vulnerability class for masonry buildings.</p>
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<p>Capacity-to-demand ratios (<span class="html-italic">PGA<sub>c</sub></span>/<span class="html-italic">PGA<sub>d</sub></span>, in percentage) and identification of the vulnerability class for RC buildings.</p>
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<p>Percentage of buildings belonging to each vulnerability class. (<b>a</b>) Masonry buildings; (<b>b</b>) RC buildings; and (<b>c</b>) entire dataset.</p>
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<p>Comparison between FE analysis and simplified methodology. (<b>a</b>) Masonry buildings and (<b>b</b>) RC buildings.</p>
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<p>Correlation between the results of the FE analyses and the simplified methodology.</p>
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<p>Comparison between FE analysis and simplified methodology in terms of vulnerability class.</p>
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28 pages, 4329 KiB  
Article
The Analysis of Mutual Relations and Dependencies of Intellectual Capital Components in Polish Enterprises in the Context of Sustainability Goals
by Rafał Prusak and Edyta Kardas
Sustainability 2024, 16(18), 7994; https://doi.org/10.3390/su16187994 - 12 Sep 2024
Viewed by 481
Abstract
Intellectual capital (IC) has been an important element of business management for some time. Understanding the role of IC and consciously incorporating it into organisational and management processes is one of the key aspects of building unique competitive advantages in the context of [...] Read more.
Intellectual capital (IC) has been an important element of business management for some time. Understanding the role of IC and consciously incorporating it into organisational and management processes is one of the key aspects of building unique competitive advantages in the context of sustainable development. The basic goal of the research was to determine which IC components are given greater importance by the management staff of selected Polish enterprises when shaping their operating strategy and which elements are the object of greater concern during everyday functioning. A statistical analysis of the survey results obtained was carried out, allowing for the characterisation of both the phenomena and trends in the entire surveyed population and taking into account the division criteria related to the size of enterprises and the specificity of their activities. The basic research instrument consisted of a questionnaire. This study covered the territory of southern Poland. The results showed that there are certain elements of IC that managers focus on in particular, and there are differences in the approach that is related to the selected criteria of analysis. This study adds to the existing knowledge of the key elements of strategy for companies managing strategic capital in the context of sustainable development. Full article
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<p>Radar charts of averages: human capital (<b>a</b>), structural capital (<b>b</b>), relational capital (<b>c</b>).</p>
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<p>Distribution of responses within selected analytical criteria.</p>
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<p>U test values for the comparison of average responses for production and service enterprises (with areas of rejection of the null hypotheses marked).</p>
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<p>U test values comparing the average responses for large-, small-, and medium-sized enterprises (with areas of rejection of the null hypotheses marked).</p>
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<p>Number of correlations within individual IC groups and between elements from different IC groups.</p>
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<p>Distribution of correlation index values for individual analytical criteria.</p>
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<p>Distribution of correlation index values for selected analytical criteria.</p>
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<p>Number of correlations within individual IC groups and between elements from equal IC groups—manufacturing companies.</p>
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<p>Distribution of correlation index values for individual analytical criteria in a group of manufacturing companies.</p>
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<p>Distribution of correlation index values for selected analytical criteria in a group of manufacturing companies.</p>
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<p>Number of correlations within individual IC groups and between elements from equal IC groups—service enterprises.</p>
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<p>Distribution of correlation index values for individual analytical criteria in a group of service enterprises.</p>
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<p>Distribution of correlation index values for selected analytical criteria in a group of service enterprises.</p>
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38 pages, 92165 KiB  
Article
Urban Geoscience: The Challenge of Street Geology
by Eva Pescatore, Mirko Gallo and Salvatore Ivo Giano
Urban Sci. 2024, 8(3), 139; https://doi.org/10.3390/urbansci8030139 - 12 Sep 2024
Viewed by 258
Abstract
Beyond the human-related conception, Urban Science is a broad concept that includes and concerns various interconnected issues linked to Natural, Engineering, Human, Social, and Computational Sciences. Natural Science is represented by issues linked to GeoScience and BioScience. GeoScience issues concern (i) the physical-environmental [...] Read more.
Beyond the human-related conception, Urban Science is a broad concept that includes and concerns various interconnected issues linked to Natural, Engineering, Human, Social, and Computational Sciences. Natural Science is represented by issues linked to GeoScience and BioScience. GeoScience issues concern (i) the physical-environmental aspects linked to (a) design, planning, and expansion of the urban environment; (b) urban management interventions; (c) prevention and (d) mitigation of natural and human-induced risks; (e) defense against natural and human-induced risks and (ii) cultural aspects linked to (a) educational purposes and (b) promoting, enhancing, and disseminating scientific as well as territorial and environmental knowledge and awareness. Geoscience is represented also by Street Geology, a silent geology mainly present in historical centers of urban areas, but not only, and that can be used as an educational tool, an opportunity for broader discussions on geological-environmental and socio-cultural issues. Look, see, understand, and take awareness are four steps that give voice to street geology. This paper highlights some aspects of GeoScience in two different urban areas, located in Southern Italy, represented by (a) the Longobard Walls of Benevento (BN) and (b) the 1794 Vesuvius’ lava flow in Torre del Greco (NA). Full article
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<p>Scheme of the utilized methodology.</p>
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<p>Urban Heritage characterization.</p>
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<p>Benevento, Traiano arch. Sketch of the main cultural contexts illustrating some simplified connection between geo and no geo arguments. Photo courtesy of D. Pescatore.</p>
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<p>Torre del Greco, panoramic view of Somma-Vesuvius from the port. Sketch of the main cultural contexts illustrating some simplified connection between geo and no geo arguments. Photo courtesy of M. Gallo.</p>
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<p>Location of the analyzed cities.</p>
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<p>Simplified geological map of the Benevento area. Legend: (1) present-day fluvial deposits; (2) Holocene eluvial-colluvial deposits; (3) Holocene fluvial deposits; (4) pyroclastic and colluvial deposits; (5) Pleistocene fluvial deposits; (6) Pliocene marine deposits; (7) Cretaceous to Miocene calcareous, marly, and pelitic deposits (Flysch Rosso Formation); (8) main archaeological sites and buildings, a—Cellarulo area, b—Roman Amphitheater, c—Roman Theater, d—Traiano Arch, e—Santa Sofia Church, f—Rocca dei Rettori; (9) Longobards Walls; (10) main urbanized area. The blue arrows show the direction of water flow in the rivers. The black dots represent the elevation above sea level.</p>
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<p>(<b>a</b>) Traiano arch; (<b>b</b>) Longobards Walls. Photo D. Pescatore.</p>
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<p>Schematic and simplified geological map of Torre del Greco area. Legend: (1) volcanic deposits related to the activities after the 79 DC eruption; (2) volcanic deposits related to the 79 DC eruption; (3) volcanic deposits related to the activities before the 79 DC eruption; (4) Caldera; (5) Vesuvius’ volcanic cone; (6) cities: a—Torre del Greco, b—Ercolano, c—Portici, d—Torre Annunziata, e—Pompei; (7) simplified administrative boundaries of Torre del Greco municipality; (8) archeological areas: a—Pompei, b—Ercolano; (9) Villa Inglese quarry. Data sources [<a href="#B94-urbansci-08-00139" class="html-bibr">94</a>,<a href="#B95-urbansci-08-00139" class="html-bibr">95</a>].</p>
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<p>Ciofi D. (1794)—Pianta della Citta della Torre del Greco distrutta dell’Eruzione del 1794. Source: <a href="https://dspace.oszk.hu/handle/20.500.12346/93948?locale" target="_blank">https://dspace.oszk.hu/handle/20.500.12346/93948?locale</a> (accessed on 15 April 2024).</p>
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<p>(<b>a</b>) The Fountain of 100 Fountains. Source: <a href="https://fondoambiente.it/luoghi/fontana-delle-cento-fontane?ldc" target="_blank">https://fondoambiente.it/luoghi/fontana-delle-cento-fontane?ldc</a> (accessed on 5 April 2024). (<b>b</b>) Underground chapel in the church of Santa Maria del Principio. Photo S. Cozzolino.</p>
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<p>The Longobard Walls. (<b>a1</b>) Viale dei Rettori; (<b>a2</b>,<b>b</b>) details showing the Roman remains; (<b>c</b>–<b>e</b>) details showing the different types of rocks present in the walls. Photo D. Pescatore.</p>
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<p>The church of Santa Maria del Principio. (<b>a</b>) Preset-day church; (<b>b</b>,<b>c</b>) lava outcrops along the stairs leading to the buried chapel; (<b>d</b>) the shrine and its lava vault, Mirko Gallo to the left and Ciro Langella to the right. Photo S. Cozzolino.</p>
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<p>The cycling tour includes a visit to the 1794 lava outcropping and the church of Santa Maria del Principio. (<b>a</b>,<b>b</b>) Mirko Gallo explaining the outcropping lava; (<b>c</b>–<b>e</b>) the Sant’Anna Hypogea. Photos S. Cozzolino.</p>
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<p>Simplified scheme showing how providing the necessary support (input) is fundamental to promote personal growth and independent thinking. The metaphor in the figure illustrates how, just like a seed that will bear good fruit when properly cared for, individuals can achieve personal growth through adequate support. Proper guidance is essential for developing critical thinking and the qualities needed for individuals to thrive in harmony with their environment. Without this support, there may be an increase in unsubstantiated claims, prejudices, and fake news, hindering the growth process and requiring further interventions to achieve the same results that can be attained with proper initial support and input.</p>
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<p>Simplified scheme regarding the main concepts and issues concerning vulnerability, hazards, and risk. In (<b>a</b>) a simplified glossary related to hazards, vulnerability, and risk, along with their corresponding maps, is presented. In (<b>b</b>) the main natural and human-induced hazards are outlined.</p>
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<p>Example of an explicative panel regarding the Longobard Walls and related geological issues. The green box contains information about geological issues, including links for further details. The red box contains information about the historical-archaeological context, with links for further details. The blue box represents a simplified illustration of a drainage basin and its main characteristics. The figure in the gray box illustrates the natural dynamic evolution of a watercourse, including episodes of flooding. It also has external links for more detailed information, including the risk (red text) shown in <a href="#urbansci-08-00139-f0A2" class="html-fig">Figure A2</a>.</p>
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<p>Example of an explicative panel regarding the Longobard Walls and activities of (<b>a</b>) Seek and Play and (<b>b</b>) Look and Play. Further information is available in the text. The red text (Play, Read, Why were the Longobard Walls built there?) refers to <a href="#urbansci-08-00139-f0A5" class="html-fig">Figure A5</a>.</p>
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<p>Example of an explicative panel regarding the activities linked to “Why were the Longobard Walls built there?” for (<b>a</b>) Read and (<b>b</b>) Play. Further information is available in the text. The red text (Flood) refers to <a href="#urbansci-08-00139-f0A6" class="html-fig">Figure A6</a>a,b,c1,c2.</p>
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<p>Example of an explicative panel regarding the topic of Risk. (<b>a</b>) Basic concepts; (<b>b</b>) hazard; (<b>c1</b>) topics related to the natural hazard and related risk in the analyzed cities; (<b>c2</b>) Benevento; (<b>c3</b>) Torre del Greco.</p>
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<p>Example of an explicative panel regarding Torre del Greco and the 1794 eruption. The red text (Volcanic Risk) refers to <a href="#urbansci-08-00139-f0A6" class="html-fig">Figure A6</a>(a,b,c1,c3).</p>
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<p>Example of an explicative panel concerning Torre del Greco and the 1794 eruption. The red text (Volcanic Risk) refers to <a href="#urbansci-08-00139-f0A6" class="html-fig">Figure A6</a>(a,b,c1,c3).</p>
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22 pages, 73111 KiB  
Article
The City as a Power Hub for Boosting Renewable Energy Communities: A Case Study in Naples
by Giuseppe Aruta, Fabrizio Ascione, Romano Fistola and Teresa Iovane
Sustainability 2024, 16(18), 7988; https://doi.org/10.3390/su16187988 - 12 Sep 2024
Viewed by 628
Abstract
This study introduces an innovative methodology for designing sustainable urban energy districts using Geographic Information Systems (GIS). The scope is to identify specific parts of the urban fabric, suitable for becoming energy districts that can meet the energy needs of dwellings and activities [...] Read more.
This study introduces an innovative methodology for designing sustainable urban energy districts using Geographic Information Systems (GIS). The scope is to identify specific parts of the urban fabric, suitable for becoming energy districts that can meet the energy needs of dwellings and activities and produce an energy surplus for the city. The method uses building archetypes to characterize the districts and perform simulations through an algorithm based on correction coefficients considering variables such as total building height, exposure, year of construction, and building typology. By leveraging GIS, this approach supports the creation of urban energy maps, which help identify and address potential energy-related issues in various urban contexts. Additionally, the research explores different scenarios for developing energy communities within the district, aiming to optimize energy use and distribution. A case study in Naples, Southern Italy, demonstrates that installing photovoltaic panels on the roofs of buildings can allow a complete electrical supply to the building stock. The final goal is to provide a robust tool that enhances confidence in urban energy planning decisions, contributing to more sustainable and efficient energy management at the district level. This approach may support the urban and territorial governance towards sustainable solutions by developing strategies for the creation of energy communities and optimizing the potential of specific sites. Full article
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Graphical abstract

Graphical abstract
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<p>Example of (<b>A</b>) old town zone, (<b>B</b>) saturated expansion zone, and (<b>C</b>) non-saturated expansion zone for the Mediterranean context, in detail in the city of Naples.</p>
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<p>Method to attribute energy classes to buildings during the EPC process.</p>
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<p>The industrial mill (in red) and the surrounding district (in yellow).</p>
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<p>(<b>A</b>) Prevalent intended use for the analyzed district buildings; (<b>B</b>) building typologies in the district.</p>
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<p>Buildings archetypes: on the left the considered existing buildings, and on the right the building models. (<b>1</b>) Multi-story compact building unit; (<b>2</b>) multi-story building units, in line; (<b>3</b>) single-family isolated building unit; (<b>4</b>) facility and tertiary sector.</p>
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<p>Heating (<b>up</b>) and cooling (<b>down</b>) Urban Energy Maps for the examined district, QGIS.</p>
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<p>Interior lighting (<b>up</b>) and equipment (<b>down</b>) Urban Energy Maps for the examined district, QGIS.</p>
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<p>PEC Urban Energy Map for the examined district, QGIS.</p>
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