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A big data platform based upon all-for-one tourism brings Jiangning’s tourism industry into a new epoch

On Monday, March 12, 2018, a new program about the Jiangning region’s big data platform based on “all-for-one” tourism was examined by higher authorities and received a good response. The program is led by Professor Yi Long from the School of Geography of Nanjing Normal University (NNU). It is the first time that a big data platform has been applied to the tourism industry in the Jiangning region of Nanjing, which marks a significant milestone in the process of developing “all-for-one” tourism demonstration zones in Jiangsu Province.

22222.jpgThe platform is geared towards the government, tourism enterprises and visitors at the same time. In promoting “Wisdom Travel”, it helps capture, store, analyze, search, share and update voluminous amounts of complex data, including not only geographic information, traffic information and other basic travelling information, but also travel industry information, such as accommodation, entertainment, law enforcement, tour guides, marketing strategy and so on.

Tourists can make a reservation before travelling and the program will plan a suitable route for them based on their preferences of traveling products. The program will then provide precise guidance for tourists. During the travelling process, tourists can choose either a fast route or a slow route, and the services are all highly personalized. After the tour, tourists are encouraged to share their experiences on the platform. As a result of this innovation, the travelling experience in Jiangning is expected to be interesting and convenient.

In Professor Long’s own words, this platform puts emphasis on how to make integrated use of resources in an area, which is markedly different from the previous scenic spot-oriented mode of travelling. Having been under construction for more than one year, the big data platform has incorporated the information of 37 scenic and rural tourism spots, 37 travel agencies and 7 star-class hotels in the Jiangning region.

Professor Long said, “all-for-one tourism is also imposing new demands on the informatisation of travelling. It will involve more institutions, industries and areas in the process. Therefore, the most difficult problem is how to get access to data from different industries, institutions and departments, and make integrated use of them. The data will include those from the tourism sector, operators, the Internet and so on. What we have done is just preparations and fundamental work. In the future, with more data obtained and the use of data mining, artificial intelligence and cloud computing, the upgrading and innovation of the tourism industry will be strongly supported.”

The success of the big data platform is meaningful. Not only can it promote the development of the all-for-one tourism and make it convenient for tourists, but it can also provide data service for government departments. Moreover, it means NNU is entering into the research frontier of applying a big data platform to the tourism industry.