How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

Solazzo, Gianluca; Maruccia, Y.; Ndou, Valentina; Vecchio, Pasquale Del

doi:10.1007/s11628-022-00487-8

Cited by 10 publications

(5 citation statements)

References 82 publications

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“…In other words, technologies are transforming the static and practical aspects of the management of tourism and marketing into a dynamic process (in which managers and tourists use technology as a tool) that allows market players and actors (tourism providers, stakeholders, intermediaries, and tourists) in the tourism industry to shape technology and also be affected by it [24]. In fact, during and after the COVID-19 pandemic, digital technologies have assumed a fundamental role as in many sectors [70][71][72][73], also in the strategies restarting tourism companies as well as for governments involved in the planning and execution of public policies for sustaining the competitiveness of tourism companies and destinations and managing the crisis, enabling a process of transformation able to reduce the negative impacts of the emergence by creating opportunities for future development [74].…”

Section: Discussionmentioning

confidence: 99%

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

2023

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This paper presents a methodological framework aiming to support the creation of a smart-tourism destination. Specifically, the study is realised in the frame of NEST, a European Union Interreg project aiming to create a smart-tourism destination in the Adriatic–Ionian area. Therefore, the study focuses on the southeastern Adriatic–Ionian area, as a portion of the European macro-region including the Italian regions of Molise and Apulia and the Balkan countries of Albania and Montenegro. This area presents a clear vocation for tourism, with a distinctive cultural heritage, attractive natural landscapes, and old culinary traditions offering a variety of eno-gastronomic and folk craft products. In the frame of the EU neighbour policies and in coherence with the objectives of the EU smart specialization strategy, several initiatives have been promoted for innovating the tourism offering in this area. Despite this, the full achievement of the creation of an Adriatic–Ionian smart destination calls for the adoption of a multidimensional strategy able to leverage knowledge-intensive dynamics of collaboration. This paper, therefore, aims to highlight the opportunities of adoptions and implications of this methodological framework for the cross-border marketing and management of the Adriatic–Ionian smart destination.

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Section: Discussionmentioning

confidence: 99%

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

2023

Self Cite

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“…It also aids in recognizing the development level and potential of rural tourism and its formation mechanism on multiple scales, providing methodological references for identifying lagging and unbalanced areas of rural tourism development in a more detailed way. Finally, in the study's time scale, Solazzo et al [52] and Pramana et al [53] evaluated Italian and Indonesian tourism before and after the epidemic, proposing recovery countermeasures. This paper refers to the above studies and conducts a study on the change in rural tourism popularity before and after the epidemic, which will provide a certain reference value for the recovery and sustainable development of the rural tourism industry after the epidemic.…”

Section: Response To Previous Studiesmentioning

confidence: 99%

“…This meets the consumption demands of the middle class to venture into the countryside, experience the local culture of the tourism destination, and harmoniously interact with residents, and it constructs an ecosystem to meet the needs of a safe and livable rural tourism destination, thereby enhancing the tourism service and guaranteeing function of the destination city. This, in turn, relies on the radiation and diffusion effect of the metropolitan area to drive the development of rural tourism in itself and its neighboring small-and medium-sized satellite cities [52].…”

Section: Revelations and Recommendationsmentioning

confidence: 99%

Hotspot Identification and Causal Analysis of Chinese Rural Tourism at Different Spatial and Temporal Scales Based on Tourism Big Data

Fu,

Cai,

Fang

2024

Sustainability

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Rural tourism serves as a crucial means for fostering rural economic prosperity and inheriting rural culture. The assessment of the quality of rural tourism development and the identification of disparities in rural tourism development among regions have become focal points in current research. This paper utilizes tourism big data to establish a system for evaluating rural tourism popularity and proposes a method for identifying rural tourism hotspots. The study explores the spatiotemporal evolution characteristics and formation mechanisms of the cold and hot patterns of rural tourism in China during two periods (pre-pandemic and post-pandemic) and on two spatial scales (provincial and municipal levels). The research findings indicate that (1) the annual variation in rural tourism popularity exhibits a fluctuating upward trend, with significant seasonal variations on a monthly basis. (2) The spatial pattern of rural tourism popularity changes with the scale effect. At the provincial level, hotspot areas form an east–west dual-core pattern, while at the municipal level, hotspot areas demonstrate an evolution from a three-core to a four-core pattern. In the post-pandemic era, rural tourism popularity in the northwest and southwest regions is experiencing a counter-trend growth. (3) At different spatiotemporal scales, influencing factors and their impact intensities vary. At the provincial level, road density and reception capacity consistently play dominant roles, and per capita disposable income significantly influences early-stage popularity enhancement. At the municipal level, resident population and tourism resources influence are the dominant factors, and the influence of air quality and regional media attention gradually strengthens. This article provides a new perspective on quantitative research in rural tourism, offering significant guidance for the rational allocation of resources in rural tourism, regional tourism collaboration, and the sustainable development of rural tourism in the post-pandemic era.

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“…Visualization is widely used in the tourism industry for tourism planning and destination promotion. Through technologies such as Geographic Information Systems (GIS) and Virtual Reality (VR), tourism practitioners can present information about a destination to potential tourists in the form of graphics and animations [6]. In this way, tourists can have a more intuitive understanding of the destination's attractions, culture, transportation, and other related information, so that they can make more informed travel decisions.…”

Section: Tourist Attractions' Use Of Data Visualizationmentioning

confidence: 99%

Crawler Data Visualization in the Tourism Industry Based on Python

Wang

2024

HSET

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Data visualization is being widely used in various fields, such as medicine, biology, economics, and other disciplines. In the tourism industry, whether the display of tourism resources, the planning of tourism routes, the feedback of tourists' experience, and so on, all of them become clearer and more intuitive through data visualization. In particular, Python-based data visualization has many advantages in the tourism industry. This paper mainly analyzes the current situation and advantages of Python-based data visualization in the tourism industry, and puts forward corresponding improvement measures and suggestions, aiming to help tourism practitioners and tourists use data visualization more conveniently and efficiently. It is found that data visualization plays an important role in displaying tourist attractions, planning tourist routes, and enhancing the experience of tourism services. However, the problems of data visualization in tourism, such as insufficient interactivity and single visualization style, require improvement measures. For example, methods such as optimizing algorithms and introducing interactive visualization tools can solve these problems. The purpose of this study is to promote a wider and more effective application of data visualization in the tourism industry so that tourism-related industries can be more efficient and intuitive when using data visualization tools.

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How to exploit Big Social Data in the Covid-19 pandemic: the case of the Italian tourism industry

Cited by 10 publications

References 82 publications

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

A Methodological Framework for Developing a Smart-Tourism Destination in the Southeastern Adriatic–Ionian Area

Hotspot Identification and Causal Analysis of Chinese Rural Tourism at Different Spatial and Temporal Scales Based on Tourism Big Data

Crawler Data Visualization in the Tourism Industry Based on Python

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