Literature DB >> 33782645

Sensing and making sense of tourism flows and urban data to foster sustainability awareness: a real-world experience.

Catia Prandi1,2, Valentina Nisi3,2, Miguel Ribeiro3,2, Nuno Nunes3,2.   

Abstract

Tourism is one of the world's largest industries fundamentally arising from mobility as a form of capital. In destination islands that have a delicate ecosystem to maintain, this source of income can become problematic in terms of sustainability. A difficulty in making people aware of this issue is also represented by the fact that such sustainability-related issues (and their causes) are often not "visible" to citizens. To foster awareness about the relationship between sustainability and tourism in well-known destinations, we design a platform that engages users at two levels of participation: i. at the IoT and sensors level, in order to let them becoming providers of big data, deploying and enlarging the pervasive infrastructure; ii. at the (big) data visualization level, with the aim of engaging them in making sense of large volumes of data related to sustainability. This paper presents the design and implementation of a real-world experience where a low-cost collaborative platform made it possible to sense and visualize tourist flows and urban data into a rich interactive map-based visualization, open to the local communities. We deployed our case study in the Madeira archipelago, engaging locals and visitors of the island in two exploratory studies focused on measuring the impact of providing users with meaningful representations of tourism flows and related unperceivable aspects that affect the environmental sustainability. Analysing the findings of the two studies, we discuss the potentiality of using such a system to make sense of big data, fostering awareness about sustainability issues, and we point to future open challenges about citizens' participation in sensing and making sense of big data.
© The Author(s) 2021.

Entities:  

Keywords:  Big data; Citizens participation; Data visualization; Pervasive infrastructure; Tourism flows; Urban data

Year:  2021        PMID: 33782645      PMCID: PMC7989699          DOI: 10.1186/s40537-021-00442-w

Source DB:  PubMed          Journal:  J Big Data        ISSN: 2196-1115


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4.  Passive Wi-Fi monitoring in the wild: a long-term study across multiple location typologies.

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Review 8.  The use of mobile phone data to inform analysis of COVID-19 pandemic epidemiology.

Authors:  Kyra H Grantz; Hannah R Meredith; Derek A T Cummings; C Jessica E Metcalf; Bryan T Grenfell; John R Giles; Shruti Mehta; Sunil Solomon; Alain Labrique; Nishant Kishore; Caroline O Buckee; Amy Wesolowski
Journal:  Nat Commun       Date:  2020-09-30       Impact factor: 14.919

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