Abstract
The manuscript comes from the interdisciplinary research carried out in the field of tourism in Sardinia, with particular attention to elements such as the environmental pressure of the sector, the drive towards slow tourism and sustainable mobility which, even in areas with even in highly urbanized areas, it can represent a different and seasonally adjusted way of appreciating, safeguarding and experiencing a territory.
The opportunity is to unite different observation points, from the land and sea sides of Sardinia, in the northeastern part already widely characterized by over tourism and take advantage of geographical information tools such as GIS and WebGIS, for sharing information and the enhancement of slow tourism.
Case studies are presented in the manuscript in the Tavolara Punta Coda Cavallo protected marine area and in the La Maddalena Archipelago National Park, where the perspective of active under tourism is privileged as an alternative to over tourism, for the sustainable use of landscapes unique. Furthermore, the case studies constitute experiences to discover landscapes through the integration of mobile spatial geographic tools (smartphones). Finally, through ad hoc applications (weather and atmospheric conditions, as well as apps for enjoying outdoor activities), a sharing map was created, also with external users, through the MyMaps platform, to support sustainable tourism.
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Notes
- 1.
This study is developed in the context of the working group 'Grupo de Trabajo en Conflictos socio-espaciales del Turismo, G.T. COTUR' of the RIIR (Red Iberomericana de Investigación en Imaginarios y Representaciones). This paper is the result of the joint work of the authors. In particular: paragraphs 1 and 2 have been written by Silvia Battino, paragraph 3 and subparagraphs 3.1 and 3.2 by Giuseppe Borruso and paragraphs 4 an 5 by Ginevra Balletto.
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Battino, S., Borruso, G., Balletto, G. (2023). Smart and Slow Tourism in Protected Natural Context. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2023 Workshops. ICCSA 2023. Lecture Notes in Computer Science, vol 14111. Springer, Cham. https://doi.org/10.1007/978-3-031-37126-4_5
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