C4. Modelling of spatial phenomena

08:40 - 09:50, Aula 9

Chair: Giada Adelfio

Integrating computational and statistical algorithms in RT-GSCS for spatial survey administration

Yuri Calleo, Simone Di Zio and Francesco Pilla

Abstract: RT-GSCS is a web-based open platform facilitating dynamic spatial surveys and consensus-building. It supports multiple surveys, where users engage through a user-friendly map interface, contributing opinions in real-time. RT-GSCS employs a spatial consensus algorithm inspired by the Delphi method, visually representing experts’ opinions on the map. The system’s real-time analyses include heat maps, dynamic clustering, and textual analysis, offering immediate insights. It proves valuable for decision-making, allowing users to collaboratively identify spatial information for effective policy implementation. This paper details RT-GSCS’s administration procedure, consensus algorithm, and spatial support analysis, highlighting its unique contributions to real-time spatial collaboration systems.

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Sensitivity mapping as a tool to support siting of offshore wind farms and increase citizens’ acceptability

Giovanna Cilluffo, Gianluca Sottile, Laura Ciriminna, Geraldina Signa, Agostino Tomasello and Salvatrice Vizzini

Abstract: Wind power is one of the fastest growing renewable energy technologies. Environmental impact assessment is crucial for the sustainable development of offshore wind farms (OWF). One of the objectives of the Wind In My Backyard project is to understand and find ways to raise public understanding and engagement with wind power. This preliminary study focuses on the island of Pantelleria. Ecological niche models were estimated for three target marine species (Caretta caretta, Stenella coeruleoalba and Tursiops truncates). An additive value model was used to produce a sensitivity map. ENMs showed good predictive performance. The sensitivity map was able to identify potential sensitive areas. Our study may be useful for the identification of potential sensitive areas, drive selection of suitable sites for wind farm installation and improving citizens’ understanding of the complex processes involved in marine spatial planning

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Investigating hotel consumers’ purchase intention on web analytics data through PLS-SEM

Giuseppina Lo Mascolo, Chiara di Maria, Marcello Chiodi and Arabella Mocciaro Li Destri

Abstract: In an era of rapid technological advancement, the hospitality industry has witnessed a significant shift towards online booking platforms. This shift necessitates an exploration of psychological and behavioural factors influencing online purchase intention. This research investigates the relationships between trust, brand orientation, and engagement attitude in hotel consumers’ online purchase intention. Utilizing Partial Least Square Structural Equation Modelling (PLS-SEM) on web analytics data, the study offers a comprehensive analysis of factors influencing consumers’ decision-making in online hotel bookings. The findings enhance understanding of consumer behaviour in the digital hospitality industry, with implications for operations, strategy, and management.

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Spatio-temporal analysis of lightning point process data in severe storms

Nicoletta D’Angelo, Milind Sharma, Marco Tarantino and Giada Adelfio

Abstract: This paper deals with the analysis of the 19 May 2013 tornadic supercell in central Oklahoma, exploiting point process theory to estimate the intensity of lightning flashes. We develop a computational strategy to fit spatio-temporal Poisson models, including external covariates, to understand the role of environmental spatio-temporal covariates on the occurrence of such lightning events.

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A work by Gianluca Sottile

(on behalf of the local organizing committee)