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      A Dashboard for Supporting Slow Tourism in Green Infrastructures. A MethodologicalProposal in Sardinia (Italy)

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      Sustainability
      MDPI AG

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          Abstract

          Spatial planning and territorial promotion can benefit largely from the application of the Information Communication Technology (ICT) at different scales. From knowledge acquisition to management and planning, their role in building an image of the territory, and constantly updating it to the benefit of users and planners, is of paramount importance. Institutional channels, together with social networks, are the means by which both a local community and a wider community of users share experiences and perceptions. ICTs are therefore strategic in supporting and promoting a sustainable tourism development of territories. Data and information aggregators as dashboards represent examples of decision support systems where digital data are organized and processed to produce an information output. The present paper is part of a wider research, related to the valorization of a former mining area in the Sulcis-Iglesiente area (Sardinia, Italy), where the extraction activity has left the place to abandonment, and only recently to tourism, stressing the concept of slow tourism. Such new opportunity has been launched with the Santa Barbara Walk (SBW), an ancient mining route currently trying to consolidate as a tourism attraction area. Such a territory is in constant transition with unique characters of anthropic and naturalistic characterization, setting itself as a green infrastructure, capable also of attracting a wide community of regional and extra-regional users. However, its digital network—consisting of intangible infrastructure and flows—is fragmented in terms of policies and contents. Additionally, a state of disorganization in slow tourism promotion activities can be observed. To implement the SBW capabilities, the present paper aims to develop a proposal for the framework of a circular dashboard applied to the SBW. In particular, we implement a set of indicators of performance of the SBW for the organization of information on the walk’s main characters, to facilitate a shared governance and an effective tourism promotion. The SBW is recognized as a network connecting the main points of interest preferred by the slow tourism (This paper is based on the Research project TSULKI—Tourism and Sustainability in the Sulcis (Sardinia-Italy)—and on the agreement protocol between DICAAR Department of Cagliari University and Foundation of the Santa Barbara Walk, signed in December 2018).

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          Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV2)

          Estimation of the prevalence and contagiousness of undocumented novel coronavirus (SARS-CoV2) infections is critical for understanding the overall prevalence and pandemic potential of this disease. Here we use observations of reported infection within China, in conjunction with mobility data, a networked dynamic metapopulation model and Bayesian inference, to infer critical epidemiological characteristics associated with SARS-CoV2, including the fraction of undocumented infections and their contagiousness. We estimate 86% of all infections were undocumented (95% CI: [82%–90%]) prior to 23 January 2020 travel restrictions. Per person, the transmission rate of undocumented infections was 55% of documented infections ([46%–62%]), yet, due to their greater numbers, undocumented infections were the infection source for 79% of documented cases. These findings explain the rapid geographic spread of SARS-CoV2 and indicate containment of this virus will be particularly challenging.
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            Ecosystem services in urban areas

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              Effect of climate change on air quality

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                Author and article information

                Journal
                SUSTDE
                Sustainability
                Sustainability
                MDPI AG
                2071-1050
                May 2020
                April 28 2020
                : 12
                : 9
                : 3579
                Article
                10.3390/su12093579
                58a84293-51bb-4016-ac95-3df57a27e0f6
                © 2020

                https://creativecommons.org/licenses/by/4.0/

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