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      Countermeasures for the Development of Data Integration of the Internet Ice and Snow Tourism Industry under the Background of Artificial Intelligence

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          Abstract

          Under the background of “Internet + Ice and Snow Tourism,” the tourism industry has ushered in new development opportunities and external challenges. “Internet + tourism” breeds a new huge tourism market. This new market consists of netizens + purchasing power + purchasing desire. This paper mainly selects the integration of mobile ice and snow tourism and tourism and leisure industry as the main research subject, focusing on the in-depth study of the future development trend of the integration of ice and snow tourism and leisure industry and the mobile Internet industry. The analysis found that the tourism industry in the ice and snow area mainly has the following problems: the division of functional areas is not clear, there is a large gap between service innovation capabilities and industrial demand, and the level of industrial informatization is inconsistent with development goals and the lack of market service credit. On the basis of combining tourism Internet service platform and big data marketing experience, creatively propose to create a new development pattern of “one network, three places and one platform” for ice and snow tourism, promote the “Three New Coverage Projects” of the tourism network, and build a new cross-business cooperation mechanism of “Internet + Tourism”; rely on Internet marketing and publicity measures to enhance the development of tourism service integrity and other countermeasures; use Internet thinking to solve the problems of tourism industry development; and provide suggestions for the innovative development of the tourism industry in the ice and snow regions and the entire autonomous region. The implementation of these countermeasures predicts that the local economy will increase by at least 51.28%, so the development of the “Internet + ice and snow tourism” type industry in combination with the actual situation is not waiting.

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          Most cited references27

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          Deploying Fog Computing in Industrial Internet of Things and Industry 4.0

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            The interactions between online shopping and personal activity travel behavior: an analysis with a GPS-based activity travel diary

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              Tracing Tourists by Their Digital Footprints : The Case of Austria

              Traditional tourism data collection includes surveys, interviews and focus groups. However, these methods are both expensive and time consuming. Moreover, there is a lag between the time of data collection and the receipt of that data for analysis. Today, almost all individuals leave digital footprints on the Internet, which can also be used for tourism research. One type of digital footprint is the photos uploaded on websites such as Flickr. The aim of this study is to determine whether the digital footprints in Flickr provide a useful indicator for tourism demand. Photos tagged with “Austria” between 2007 and 2011 were collected using Flickr API. Residents were distinguished from tourists using the data, and spatial analyses were conducted of the tourist-generated data. The results indicate that geotagged photos in Austria are more representative of actual tourist numbers at the city level than at the regional level.
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                Author and article information

                Contributors
                Journal
                Appl Bionics Biomech
                Appl Bionics Biomech
                ABB
                Applied Bionics and Biomechanics
                Hindawi
                1176-2322
                1754-2103
                2022
                28 April 2022
                : 2022
                : 8496766
                Affiliations
                1College of Physical Education, Jiamusi University, Jiamusi, 154007 Heilongjiang, China
                2College of Materials Science and Engineering, Jiamusi University, Jiamusi, 154007 Heilongjiang, China
                3College of Public Health, Jiamusi University, Jiamusi, 154007 Heilongjiang, China
                Author notes

                Academic Editor: Fahd Abd Algalil

                Author information
                https://orcid.org/0000-0001-6006-6413
                Article
                10.1155/2022/8496766
                9071908
                981d83df-36ef-415c-8f3d-8ff7900fc952
                Copyright © 2022 Hongbo Du et al.

                This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

                History
                : 2 March 2022
                : 23 March 2022
                : 6 April 2022
                Funding
                Funded by: 2021 Philosophy and Social Sciences Research Programme in Heilongjiang
                Award ID: 21TYE344
                Categories
                Research Article

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