Abstract: The data fusion decision-making engine of the Ministry of Culture, Tourism and Ministry of Databao uses multi-data element fusion and application of national vehicle traffic trajectory data, national user consumption data, and operator data. Help local tourism bureaus to clearly understand the development of various tourist attractions in various provinces and cities across the country, popular scenic spots and popular routes, etc., and provide forecasting models and potential customer group screening models to help local tourism bureaus upgrade their industrial investment, through people.events.city The data linkage of Zibo and Guizhou effectively replicates the myths of culture and tourism in billion-level cities like Zibo and Guizhou.
A remote mountain village in Southwest China kicked out a wonderful and eye-catching "upside-down golden hook" to the world, which kicked out a monthly income of over 1.2 billion for Guizhou. How did it happen? Can its success be replicated?
The picture above is the traffic flow change of private cars that we obtained from the backstage to obtain the exit data of the toll station associated with the Sanbao Miao Village Scenic Spot in Rongjiang County. It can be clearly seen that with the opening of Guizhou Village Supermarket and the continuous fermentation of topics, the number of traffic in Rongjiang County is on the trend of continuous growth, and each hot topic will bring a wave of passenger flow peaks to Rongjiang. Except for Rongjiang County, other surrounding counties and cities are in the overall monitoring interval, and the trend of traffic flow data presented is consistent.
Not only that, we take Sanbao Qianhu Miao Village in Rongjiang City as the core scenic spot, and use distance as the unit to monitor the flow of traffic at the toll stations near different scenic spots according to human and natural landscapes. In recent years, the development of tourism has also accelerated from group travel to individual travel. We will use the flow of private cars as a reference to show you how the benefits of core scenic spots will radiate along the route.
We have monitored the different daily traffic trends of private cars in the natural landscape and cultural landscape of the short-distance driving of about 2 hours away from Rongjiang. Several small peaks in traffic. (Time: 4/1~6/30)
In the follow-up, we pulled out the different daily average traffic trends of private cars in natural landscapes and cultural landscapes about 4 hours away from Rongjiang. It can be seen that in addition to the small peaks of the same frequency, the weekends of these two places will show a relatively average cycle of small peaks. The local tourism bureau can improve the facilities and services of the surrounding scenic spots according to the direct radiation relationship of each scenic spot, so as to undertake the flow overflow of the core scenic spots and bring economic benefits. (Time: 4/1~6/30)
During the village super competition, the daily average traffic flow difference between competition days and non-competition days in each scenic spot
The Ministry of Culture and Tourism's data fusion decision-making engine uses data to drive the tourism economy
At present, Databao is the first industrial intelligent decision-making engine that integrates national vehicle traffic data with local government tourism industry-related data to realize linkage analysis and decision-making.
The capability of the engine takes cars as the dimension. By distinguishing the three groups of self-driving tours, bus tours and taxi tours, it helps local tourism bureaus to clearly understand the development of various tourist attractions in various provinces and cities across the country, popular attractions and popular routes, etc., and provides Predictive models and potential customer group screening models help local tourism bureaus invest in industrial upgrading and provide data support.
Data advantage:
1. Authoritative authorization of traffic big data, covering 29 provinces and 330 cities.
2. The dynamic data of the entire trajectory of traffic vehicles, covering 235 million passenger cars and more than 32.92 million trucks.
3**. Real-time collection, update frequency of 15 minutes. **
4. Zero data storage, first manage and then apply. **The submission of traffic big data in 29 provinces across the country has basically reached the real-time reporting standard, and a three-dimensional integrated recyclable data full life cycle system of "submission→governance→innovative application" of national traffic big data has been preliminarily established. On the premise of ensuring that the state-owned data does not go out of the database, open, circulate and apply state-owned data.
People. Events. Cities easily replicate billion-level myths
Through the full integration of a series of data such as national vehicle traffic trajectory data, national user consumption data, operator data, etc., through summary analysis and combined with business logic to establish a rule base, the data is cleaned one by one, and a structured database is established and available for business. The data service standard of the application is then connected to the big data platform of Databao. Using the industrial intelligent decision-making engine of Databao, the following objectives can be achieved:
**Scenic landscape development and optimization. **Analyze existing tourists' landscape visit tracks, length of stay, and visit records of other scenic spots, and combine tourists' age, gender and other attribute information to develop new landscapes and optimize existing landscapes.
**Scenic spot facility planning and optimization. ** Analyze the needs and preferences of existing tourists in six aspects of food, housing, transportation, travel, shopping, entertainment, etc., as well as the trajectory of landscape visits, etc., and optimize the service facilities of the scenic spot, such as parking lots, shops, sightseeing cars, scenic spot souvenirs, entertainment facilities etc.
**The structure of the attractions in the prefecture and city has been upgraded. **Analyze the traffic flow, passenger flow, residence time, route selection, tour trajectory, etc. of different scenic spots in the city, optimize the tour guide planning and diversion of tourists for different scenic spots and different routes, and optimize the existing scenic spot structure in the city.
**Integrated marketing in tourism industry. **Guide public opinion and information dissemination in the tourism market, obtain and analyze source information, customize and develop tourism products and routes, meet the individual needs of tourism products, and increase the diversity of tourism products. Build a tourism e-commerce platform, integrate tourism resources, and form a marketing force.
In general, the data fusion decision-making engine of the Ministry of Culture and Tourism of Databao, relying on state-owned transportation big data, helps provinces and cities attract more tourists, guarantees the travel safety of tourists, optimizes the travel experience of tourists, and helps local tourism industries such as Zibo exams and Guizhou village super also formed a phenomenon-level exponential growth.