Browsing by Author "Prandi, Catia"
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- Beanstalk: a community based passive wi-fi tracking system for analysing tourism dynamicsPublication . Nunes, Nuno; Ribeiro, Miguel; Prandi, Catia; Nisi, ValentinaThis paper presents Beanstalk, an interactive platform to assist communities in easily running systematic analysis of mobility patterns of tourists at their destinations, contributing in new ways in visualizing spatio-temporal mobility data for forecasting, tracking trends, detecting patterns and noticing anomalies. The approach takes advantage of a combination of passive Wi-Fi tracking and ground truth data provided by tourism authorities. By analyzing a large dataset for a medium sized European island, we provide evidence of the accuracy and effectiveness of this low-cost method in inferring topological characteristics of tourist behavior and relevant typologies of trip itineraries. This helps decision makers in the touristic sector to plan and manage actions geared towards improving the sustainability and competitiveness of their touristic regions. In particular, we argue that in a world where sensing data is becoming inexpensive, there is an opportunity to use this approach to deliver data back to local communities which are empowered to act and leverage this information.
- Enhancing sustainable mobility awareness by exploiting multi-sourced data: the case study of the Madeira islandsPublication . Prandi, Catia; Nunes, Nuno; Ribeiro, Miguel; Nisi, ValentinaIn this paper we present a low-cost infrastructure to collect a variety of location-based multi-sourced data with the aim of providing personalized services and raising awareness for sustainable mobility solutions. The gathered data can be used to provide: (i) citizens and tourists with personalized location-based services to increase sustainability awareness; (ii) local authorities and tourism boards with a tool to identify and prevent mobility issues; and (iii) transport companies with an instrument to support urban mobility planning decisions. To collect data, we exploited a low-cost Wi-Fi passive tracking system and we augmented this infrastructure using sensors for detecting environmental conditions. To achieve this, we provided 60 points of interest and 20 buses with our solution, to spread out the sensors over the entire Madeira Island. Using the gathered data, we developed different scenarios to prove that in a world where sensing data is becoming inexpensive, there are opportunities to use our approach to deliver data back to the citizens, empowering local communities, with the goal of promoting sustainable mobility and tourism.
- Exploring proximity-based recommendation criteria as a tool for information exchange and interactions between locals and touristsPublication . Ceccarini, Chiara; Nisi, Valentina; Prandi, CatiaSharing economy and contemporary tourism are two emerging concepts that urge to be investigated together with new ubiquitous and immersive technologies, in the tourism and hospitality sector. In this rich scenario, we designed and implemented ShareCities, a plat form to foster remote direct information exchange and meaningful interactions among tourists and locals. Exploiting ShareCities we here present an extended analysis on the opportunity to use people-to-people recommendation criteria based on proximity. We hence defined three criteria which drove our analysis: i) profile similarity, ii) geographical proxim ity, and iii) random exploration. Through an online questionnaire, we collect answers from 126 young-adult students, obtaining a general positive interest in the three criteria but also concerns in terms of privacy, trust, and feeling of disorientation.