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Article ; Online: Extended reality-based choice experiment to assess the impact of offshore wind turbines in historic center: The case of Manfredonia.

Caporale, Diana / Sangiorgio, Valentino / De Lucia, Caterina

2023 Volume 349, Page(s) 119454

Abstract: This paper proposes a novel four-step methodology to achieve an extended-reality-based choice experiment in historic and touristic centers. The study exploits the case of Manfredonia (a seaside town in southern Italy) to apply the new approach and ... ...

Abstract	This paper proposes a novel four-step methodology to achieve an extended-reality-based choice experiment in historic and touristic centers. The study exploits the case of Manfredonia (a seaside town in southern Italy) to apply the new approach and investigates public attitudes and preferences towards the installation of offshore wind turbines in the area. The novelty of the proposed work is twofold: i) for the first time, a structured methodological approach is defined for the development of a hybrid extended-reality-based choice experiment; ii) the perception of the visual impact of offshore wind turbines is assessed in a touristic and historic city in southern Italy exploiting the proposed approach. Our findings underscore the importance of continuously monitoring public perceptions to maintain and promote support for sustainable energy solutions, particularly in relation to the perception of wind energy's visual impact. In particular, 65% of respondents express their worries about wind power plants impact on the landscape. Moreover, the positive coefficient of the visual impact (0.011) suggests a positive utility of respondents from a higher off-shore turbines' density and a marginal willingness to accept a compensation of about 13€ for the visual impact and of about 33€ for the distance from the shore. In this context the use of extended reality technology in choice experiment scenarios significantly improves the results and enhances the understanding of the landscape impact of offshore wind farms.
MeSH term(s)	Energy-Generating Resources ; Wind ; Environment ; Power Plants ; Renewable Energy
Language	English
Publishing date	2023-10-31
Publishing country	England
Document type	Journal Article
ZDB-ID	184882-3
ISSN	1095-8630 ; 0301-4797
ISSN (online)	1095-8630
ISSN	0301-4797
DOI	10.1016/j.jenvman.2023.119454
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Article: A multicriteria approach for risk assessment of Covid-19 in urban district lockdown.

Sangiorgio, Valentino / Parisi, Fabio

Safety science

2020 Volume 130, Page(s) 104862

Abstract: At the beginning of 2020, the spread of a new strand of Coronavirus named SARS-CoV-2 (COVID-19) raised the interest of the scientific community about the risk assessment related to the viral infection. The contagion became pandemic in few months forcing ... ...

Abstract	At the beginning of 2020, the spread of a new strand of Coronavirus named SARS-CoV-2 (COVID-19) raised the interest of the scientific community about the risk assessment related to the viral infection. The contagion became pandemic in few months forcing many Countries to declare lockdown status. In this context of quarantine, all commercial and productive activities are suspended, and many Countries are experiencing a serious crisis. To this aim, the understanding of risk of contagion in every urban district is fundamental for governments and administrations to establish reopening strategies. This paper proposes the calibration of an index able to predict the risk of contagion in urban districts in order to support the administrations in identifying the best strategies to reduce or restart the local activities during lockdown conditions. The objective regards the achievement of a useful tool to predict the risk of contagion by considering socio-economic data such as the presence of activities, companies, institutions and number of infections in urban districts. The proposed index is based on a factorial formula, simple and easy to be applied by practitioners, calibrated by using an optimization-based procedure and exploiting data of 257 urban districts of Apulian region (Italy). Moreover, a comparison with a more refined analysis, based on the training of
Keywords	covid19
Language	English
Publishing date	2020-06-06
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	1074634-1
ISSN	1879-1042 ; 0925-7535
ISSN (online)	1879-1042
ISSN	0925-7535
DOI	10.1016/j.ssci.2020.104862
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Article ; Online: The New Boundaries of 3D-Printed Clay Bricks Design

Valentino Sangiorgio / Fabio Parisi / Francesco Fieni / Nicola Parisi

Sustainability, Vol 14, Iss 598, p

Printability of Complex Internal Geometries

2022 Volume 598

Abstract: The building construction sector is undergoing one of the most profound transformations towards the digital transition of production. In recent decades, the advent of a novel technology for the 3D printing of clay opened up new sustainable possibilities ... ...

Abstract	The building construction sector is undergoing one of the most profound transformations towards the digital transition of production. In recent decades, the advent of a novel technology for the 3D printing of clay opened up new sustainable possibilities in construction. Some architectural applications of 3D-printed clay bricks with simple internal configurations are being developed around the world. On the other hand, the full potential of 3D-printed bricks for building production is still unknown. Scientific studies about the design and printability of 3D-printed bricks exploiting complex internal geometries are completely missing in the related literature. This paper explores the new boundaries of 3D-printed clay bricks realized with a sustainable extrusion-based 3D clay printing process by proposing a novel conception, design, and analysis. In particular, the proposed methodological approach includes: (i) conception and design; (ii) parametric modeling; (iii) simulation of printability; and (iv) prototyping. The new design and conception aim to fully exploit the potential of 3D printing to realize complex internal geometry in a 3D-printed brick. To this aim, the research investigates the printability of internal configuration generated by using geometries with well-known remarkable mechanical properties, such as periodic minimal surfaces. In conclusion, the results are validated by a wide prototyping campaign.
Keywords	clay 3D printing ; sustainable constructions ; clay bricks ; bricks design ; building envelope ; additive manufacturing ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2022-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: A multicriteria approach for risk assessment of Covid-19 in urban district lockdown

Sangiorgio, Valentino / Parisi, Fabio

Safety Science

2020 Volume 130, Page(s) 104862

Keywords	Public Health, Environmental and Occupational Health ; Safety Research ; Safety, Risk, Reliability and Quality ; covid19
Language	English
Publisher	Elsevier BV
Publishing country	us
Document type	Article ; Online
ZDB-ID	1074634-1
ISSN	1879-1042 ; 0925-7535
ISSN (online)	1879-1042
ISSN	0925-7535
DOI	10.1016/j.ssci.2020.104862
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Development of a holistic urban heat island evaluation methodology.

Sangiorgio, Valentino / Fiorito, Francesco / Santamouris, Mattheos

Scientific reports

2020 Volume 10, Issue 1, Page(s) 17913

Abstract: Urban Heat Island (UHI) phenomenon concerns the development of higher ambient temperatures in urban districts compared to the surrounding rural areas. Several studies investigated the influence of individual parameters in the UHI phenomenon, on the other ...

Abstract	Urban Heat Island (UHI) phenomenon concerns the development of higher ambient temperatures in urban districts compared to the surrounding rural areas. Several studies investigated the influence of individual parameters in the UHI phenomenon, on the other hand, an exhaustive study that quantifies the influence of each parameter in the resulting UHI is missing in the related literature. This paper proposes a new index aimed at quantifying the hazard of the absolute maximum UHI intensity in urban districts during the Summer season by taking all the parameters influencing the phenomenon into account. In addition, for the first time, the influence of each parameter has been quantified. City albedo and the presence of greenery represent the most important characteristics with an influence of 29% and 21%. Population density, width of streets, canyon orientation and building height has a medium influence of 12%, 10%, 9% and 8% respectively. The remaining parameters have an overall influence of 11%. These results are achieved by exploiting three synergistically related techniques: the Analytic Hierarchy Processes to analyse the parameters involved in the UHI phenomenon; a state-of-the-art technique to acquire a large set of data; and an optimization procedure involving a involving a Jackknife resampling approach to calibrate the index by exploiting the effective UHI intensity measured in a total of 41 urban districts and 35 European Cities.
Language	English
Publishing date	2020-10-21
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-020-75018-4
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article: A multicriteria approach for risk assessment of Covid-19 in urban district lockdown

Sangiorgio, Valentino / Parisi, Fabio

Saf. Sci.

Abstract	At the beginning of 2020, the spread of a new strand of Coronavirus named SARS-CoV-2 (COVID-19) raised the interest of the scientific community about the risk assessment related to the viral infection. The contagion became pandemic in few months forcing many Countries to declare lockdown status. In this context of quarantine, all commercial and productive activities are suspended, and many Countries are experiencing a serious crisis. To this aim, the understanding of risk of contagion in every urban district is fundamental for governments and administrations to establish reopening strategies. This paper proposes the calibration of an index able to predict the risk of contagion in urban districts in order to support the administrations in identifying the best strategies to reduce or restart the local activities during lockdown conditions. The objective regards the achievement of a useful tool to predict the risk of contagion by considering socio-economic data such as the presence of activities, companies, institutions and number of infections in urban districts. The proposed index is based on a factorial formula, simple and easy to be applied by practitioners, calibrated by using an optimization-based procedure and exploiting data of 257 urban districts of Apulian region (Italy). Moreover, a comparison with a more refined analysis, based on the training of Artificial Neural Networks, is performed in order to take into account the non-linearity of the phenomenon. The investigation quantifies the influence of each considered parameter in the risk of contagion useful to obtain risk analysis and forecast scenarios.
Keywords	covid19
Publisher	WHO
Document type	Article
Note	WHO #Covidence: #548133
Database	COVID19

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Article ; Online: A multicriteria approach for risk assessment of Covid-19 in urban district lockdown

Sangiorgio, Valentino / Parisi, Fabio

2020

Abstract	At the beginning of 2020, the spread of a new strand of Coronavirus named SARS-CoV-2 (COVID-19) raised the interest of the scientific community about the risk assessment related to the viral infection. The contagion became pandemic in few months forcing many Countries to declare lockdown status. In this context of quarantine, all commercial and productive activities are suspended, and many Countries are experiencing a serious crisis. To this aim, the understanding of risk of contagion in every urban district is fundamental for governments and administrations to establish reopening strategies. This paper proposes the calibration of an index able to predict the risk of contagion in urban districts in order to support the administrations in identifying the best strategies to reduce or restart the local activities during lockdown conditions. The objective regards the achievement of a useful tool to predict the risk of contagion by considering socio-economic data such as the presence of activities, companies, institutions and number of infections in urban districts. The proposed index is based on a factorial formula, simple and easy to be applied by practitioners, calibrated by using an optimization-based procedure and exploiting data of 257 urban districts of Apulian region (Italy). Moreover, a comparison with a more refined analysis, based on the training of Artificial Neural Networks, is performed in order to take into account the non-linearity of the phenomenon. The investigation quantifies the influence of each considered parameter in the risk of contagion useful to obtain risk analysis and forecast scenarios.
Keywords	Apulian Region (Italy) ; Artificial neural networks ; Calibration ; Mathematical programming problem ; Multicriteria analysis ; Risk of Covid-19 contagion ; covid19
Subject code	910
Language	English
Publishing country	it
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article: A holistic approach for the adaptive reuse project selection: The case of the former Enel power station in Bari

Vizzarri, Corrado / Sangiorgio, Valentino / Fatiguso, Fabio / Calderazzi, Antonella

Land use policy. 2021 Dec., v. 111

2021

Abstract: The refurbishment and regeneration of unused building stock, with particular attention to the historical industrial heritage, is becoming an issue increasingly influential in the strategic choices for the development of sustainable cities. In particular, ...

Abstract	The refurbishment and regeneration of unused building stock, with particular attention to the historical industrial heritage, is becoming an issue increasingly influential in the strategic choices for the development of sustainable cities. In particular, the regeneration of warehouses and historic buildings, allows to preserve the memory of past architecture characters, converting them into new functional centres within the urban structure. Adaptive reuse is an important design strategy for achieving sustainability as it ensures a continuous building life cycle and prevents buildings destruction. On the other hand, an exhaustive approach to select the best adaptive reuse project, involving many qualitative and quantitative parameters is missing in related literature. This paper proposes a holistic approach for the selection of the adaptive reuse project strategies based on a suitable index and calibrated through the application of the Optimised Analytic Hierarchy Process (O-AHP) Model. The main novelty of the proposed research is threefold: i) for the first time the importance of a large number of parameters involved in the adaptive reuse project selection has been quantified according to two different panels of experts, ii) a shared priority is demonstrated by comparing the vision of Academics and Professionals; iii) a new index is calibrated on the basis of the obtained parameters importance to support the adaptive reuse project selection of dismissed industrial areas. The proposed approach considers both qualitative and quantitative data in the analysis and is calibrated according to two homogeneous panels of 30 experts (15 Academics and 15 Professionals) in the field. In order to show the potential of the proposed index, the choice of the ideal design solution of the former Enel power plant in Bari (Italy) is individuated among six project proposal of the conversion.
Keywords	land policy ; memory ; models ; power plants ; vision ; Italy
Language	English
Dates of publication	2021-12
Publishing place	Elsevier Ltd
Document type	Article
ZDB-ID	852476-2
ISSN	0264-8377
ISSN	0264-8377
DOI	10.1016/j.landusepol.2021.105709
Database	NAL-Catalogue (AGRICOLA)

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Article ; Online: Development of a holistic urban heat island evaluation methodology

Valentino Sangiorgio / Francesco Fiorito / Mattheos Santamouris

Scientific Reports, Vol 10, Iss 1, Pp 1-

2020 Volume 13

Abstract: Abstract Urban Heat Island (UHI) phenomenon concerns the development of higher ambient temperatures in urban districts compared to the surrounding rural areas. Several studies investigated the influence of individual parameters in the UHI phenomenon, on ... ...

Abstract	Abstract Urban Heat Island (UHI) phenomenon concerns the development of higher ambient temperatures in urban districts compared to the surrounding rural areas. Several studies investigated the influence of individual parameters in the UHI phenomenon, on the other hand, an exhaustive study that quantifies the influence of each parameter in the resulting UHI is missing in the related literature. This paper proposes a new index aimed at quantifying the hazard of the absolute maximum UHI intensity in urban districts during the Summer season by taking all the parameters influencing the phenomenon into account. In addition, for the first time, the influence of each parameter has been quantified. City albedo and the presence of greenery represent the most important characteristics with an influence of 29% and 21%. Population density, width of streets, canyon orientation and building height has a medium influence of 12%, 10%, 9% and 8% respectively. The remaining parameters have an overall influence of 11%. These results are achieved by exploiting three synergistically related techniques: the Analytic Hierarchy Processes to analyse the parameters involved in the UHI phenomenon; a state-of-the-art technique to acquire a large set of data; and an optimization procedure involving a involving a Jackknife resampling approach to calibrate the index by exploiting the effective UHI intensity measured in a total of 41 urban districts and 35 European Cities.
Keywords	Medicine ; R ; Science ; Q
Subject code	910 ; 720
Language	English
Publishing date	2020-10-01T00:00:00Z
Publisher	Nature Publishing Group
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Building Envelope Prefabricated with 3D Printing Technology

Stelladriana Volpe / Valentino Sangiorgio / Andrea Petrella / Armando Coppola / Michele Notarnicola / Francesco Fiorito

Sustainability, Vol 13, Iss 8923, p

2021 Volume 8923

Abstract: The Fourth Industrial Revolution represents the beginning of a profound change for the building sector. In the last decade, the perspective of shapes, materials, and construction techniques is evolving fast due to the additive manufacturing technology. ... ...

Abstract	The Fourth Industrial Revolution represents the beginning of a profound change for the building sector. In the last decade, the perspective of shapes, materials, and construction techniques is evolving fast due to the additive manufacturing technology. On the other hand, even if the technology is growing fast and several 3D printed buildings are being developed worldwide, the potential of concrete 3D printing in building prefabrication remains unexplored. Consequently, the application of new digital fabrication technologies in the construction industry requires a redesign of the construction process and its components. This paper proposes a novel conception, design, and prototyping of a precast building envelope to be prefabricated with extrusion-based 3D concrete printing (3DCP). The new design and conception aim to fully exploit the potential of 3D printing for prefabricated components, especially in terms of dry assembly, speed of implementation, reusability, recyclability, modularity, versatility, adaptability, and sustainability. Beyond the novel conceptual design of precast elements, the research investigated the 3D printable cementitious material based on a magnesium potassium phosphate cement (MKPC), which was devised and tested to ensure good performances of the proposed component. Finally, a prototype has been realised in scale with additive manufacturing technology in order to verify the printability and to optimize the extruder path. This study leads us to believe that the combined use of prefabricated systems, construction automation, and innovative materials can decisively improve the construction industry’s sustainability in the future.
Keywords	3D concrete printing ; prefabricated components ; magnesium potassium phosphate cement ; building envelopes ; high-performance ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2021-08-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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