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Characteristics of tourism big data What is tourism big data analysis?

1. What is tourism big data analysis?

Used to publicize tourism resources and explore potential customers.

2. What is tourism big data?

Can be found.

The data source of big data travel card query action trajectory is base station positioning based on mobile operation network. The latitude and longitude information of mobile phone SIM card is obtained through the signal tower of base station operator. After calculation, the positioning point is docked with the electronic map API and displayed on the map to achieve the purpose of positioning. Therefore, the mobile phone with the SIM card always on can check the itinerary.

However, in order to ensure communication continuity, realize coverage without blind areas and provide better communication service quality, the signals of two base stations located at the intersection of administrative divisions may overlap, resulting in the deviation between the actual trip and the query results. This will happen if users live near the city boundary, or they drive far away, or take the train, etc.

Functional mobile phones use communication big data, only need to fill in the mobile phone number, verification code and confirm the authorization of user S, do not need to fill in the ID number and home address, and do not need to collect other personal information. You can query the domestic and international travel situation within 14 days obtained by users through the communication big data travel card.

Its whereabouts information is obtained through the location of the user's mobile phone at the base station. The process of signal data collection, transmission and processing is fully automatic, with strict security and privacy protection mechanism, which can fully protect users' privacy.

3. Data sources of tourism big data

Wu Jiangzhou, School of Tourism, Central South University of Forestry and Technology, revealed in the article "Cost-Benefit Analysis of Annual Ticket Issuers" that the current annual ticket business models in China and the United States can be government-led, enterprise issuance, scenic spot participation and business joining. These sixteen words can be summarized. As the management and ownership of many scenic spots in China still belong to the state, the government plays a leading role in the annual tourist tickets as a marketing tool for regional tourist destinations. However, because the government is an administrative agency after all, it can only play a leading role in coordinating contradictions in the annual tourist ticket. It will be more appropriate to entrust the real distribution work to enterprises with certain operating experience. As an outsider, enterprises can use their own professional methods to efficiently operate the issuance of annual travel tickets. This is the advantage of enterprise operation and distribution.

In other words, most of the sales of tourist tickets are allocated every year. As the competent department, it only plays the role of integrating the resources of tourist attractions. Taking Shaanxi as an example, the competent unit of Shaanxi tourism annual ticket is Shaanxi tourism annual ticket issuing office. According to public reports, the annual ticket of Jinxiu Jiangshan National Tourism has been issued for ten consecutive years. The joint authorization of each scenic spot shall be handled by the annual ticket office established in various places. It is a popular project led by the government, benefiting the country and the people.

However, in fact, people may also benefit from the S-heart project, and the direct annual ticket income is naturally the most intuitive. But remember, the annual ticket also has a cost, that is, as long as the user arrives at the scenic spot and uses the annual ticket for free, the annual ticket hall will pay a certain fee to the scenic spot. Of course, this fee is much lower than the normal price of scenic spot tickets. However, how to settle accounts actually, whether it is a single user or a certain number of users, is unknown.

Then, some people will ask, if this is solved, aren't there fewer and fewer tourist tickets every year?

In fact, if it really counts, the more people go to the same scenic spot, the more the ticket office accounts for the scenic spot every year, and the higher the cost. If all users go to all scenic spots, the annual travel ticket will definitely be a loss.

However, those who have dealt with tourist annual tickets, think carefully. How many times did you actually use the annual ticket you bought in a year? In fact, you don't have to go to more than 800 scenic spots a year. Even if the economy allows, there is not enough time. Not allowed.

For example, 65,438+10,000 people in a province bought annual tourist tickets with a total price of100,000 y.

20% people went to several scenic spots, and the expenses of these 20% people were equal. Trade payment balance

There are also 50% people who only went to the scenic spots of 1 or 2, and these 50% people are profitable according to the cost. The per capita expenditure is 502.5 million yuan.

And 10% people don't need new year's goods. This 10% is profitable in cost. Everyone earns/kloc-0.00 yuan, which is/kloc-0.00 million yuan.

Total profit:10-400-250 = 3.5 million yuan.

Therefore, although 40% people spend money repeatedly with annual tickets, the cost is at a loss, but the other 60% is actually profitable. Judging from the general ledger, the annual travel ticket is unlikely to lose money.

Therefore, the profit model of tourist annual ticket is obvious:

1. Silent users and inactive users account for most of the annual tourist tickets, and the settlement cost of scenic spots is actually very low.

2. A few popular scenic spots bear the reception volume of most distant and unpopular scenic spots. When the reception volume reaches a certain amount, it is equivalent to enjoying the super-value group purchase price, which indirectly reduces the overall cost.

3. When the user base reaches a certain order of magnitude, the annual tourist ticket may bring huge traffic to the participating scenic spots. If everyone in China has a tourist ticket, it is estimated that every tourist spot will be crowded.

Of course, the above are all my personal analysis and imagination. It should be said that the annual tourist ticket is a project that benefits the people and is also very valuable. Friends who have more detailed data are also welcome to discuss.

But a similar road trip passport, a free passport, is similar to an annual ticket. Otherwise, why did the organizer keep silent when asked about the passport activation rate? Because this is the business rule behind it. Even though he knew, he won. I can't tell you. Just like you have a fitness card for your own community fitness club, some people have never done it once, and it must be a loss. People go every day, and businesses naturally lose money. Merchants are more or less betting on this activation rate.

If the management of big data can be realized, an analysis system of user data can be established with tourist attractions to understand the needs of tourist attractions in a targeted manner. After all, tourist attractions need popularity, tourists need benefits, and both needs are met. I believe that the annual travel ticket will bring greater value and make the user experience better.

Author: I am not a blog (micro-signal: noblog)

4. Tourism Big Data Market Analysis

According to the statistics of Micro-hotspot Big Data Research Institute, from March 200211to March 3 1, there were 5 pieces of national tourism industry information114700. Among them, 37% information comes from Weibo platform, 34% information comes from client platform, and other platforms have relatively little information. It can be seen that Weibo and the client have become the main communication platforms for tourism-related information.

5. Tourism Big Data Analysis Report

The tourism industry has the characteristics of wide industry, large scale and strong mobility, and it is more dependent on big data. At present, the tourism industry is also facing the challenge of upgrading and the opportunity of change. The new normal. For the general economic sector, the new normal is that the economic speed slows down and the per capita GDP growth rate decreases. Many traditional industries are restructuring, but the new normal of tourism is accelerating. The solution of tourism big data lies in integrating domestic multi-channel big data sources, forming a tourism big data ecosystem, providing big data solutions for domestic tourism and promoting the transformation and upgrading of the tourism industry.

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