Sichuan is located in the hinterland of southwest China, connected to Yunnan and Guizhou in the south, and is an important junction of the southwest, northwest and central regions. It has a very obvious location advantage under the national "Two Belt and One Road" strategy. The city is the closest point from Sichuan to southern China, Southeast Asia, and coastal ports. It is an important transportation hub and distribution center for commercial materials on the "Southern Silk Road". It is also the province's largest city in GDP. At the same time, as an excellent tourist city in China, the city has unique tourism resources, integrating caves, stone forests, waterfalls, hot springs, virgin forests, alpine meadows, underground seas, the world's third highest dam, and ivory micro-carved steel city. There are many forest parks, known as the paradise of botanists.
Sichuan was awarded the "National Pilot City for Self-driving Travel Destinations" and will be the first "tourism mode" for Sichuan, Yunnan and Tibet of the China Greater Shangri-La Tourism Promotion Alliance! In this context, the city’s tourism bureau responded to the government’s call, and the city’s mobile made a tourism big data analysis of the flow of people in scenic spots to prepare for the upcoming tourist crowds and improve the coordinated management of tourism resources!
Through the data of various base stations of China Mobile, the following information can be comprehensively reflected on the big screen of the Tourism Bureau:
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(Left) In the past 24 hours, the cumulative number of people in each scenic spot is ranked, and warnings will be given if the load exceeds the load;
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(Upper right) In the past 24 hours, the TOP10 ranking of the origin of all tourists;
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(Bottom right) The number of people in each scenic spot at the time, refreshed every hour;
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(Middle) Real-time display of the number of people in the scenic spot through a map form to achieve the fastest plan response;
The traditional management of scenic spots is mainly based on "surveillance video". Although it seems more intuitive, it lacks the ultimate "data analysis" ability and cannot provide a basis for the planning of tourism resources and the flow of tourists. From the perspective of prospects, tourism big data has a wide range of applications, such as tourism planning and security at the government level, as well as tourism service model innovation in commercial applications!
From the perspective of tourists, when the tourism management department has "surveillance video" and "big data analysis", everyone can feel more at ease and caring. If these data can be appropriately opened to tourists who come to the city, Let tourists also know the density of people in the scenic spot at any time. Isn't it possible to do a good job of diversion at the "source", and to be more proactive!
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