Big data on Spring Festival travel: Panorama of Spring Festival on real-time map

Source: Internet
Author: User
Keywords Big data Spring Festival travel

 

"Baidu Migration" released by the lunar 642 hours before the National 8-hour hottest route map

12306 Site Map

Alipay released a hot map of the Spring Festival travel route

Drawing Wang Bin

40 days, 3.6 billion passengers. This is the total time and total number of travel of the 3721.html ">2014 Spring Festival". Where did the crowd go in the most massive short-term migration in human history? Which lines are most popular?

In the past, these problems may be difficult to answer accurately. However, with the technological progress, through the application of "large data" this technology, people have been close to "feel in the maze of the overall" to see the Spring Festival Panorama.

Spring Festival Panorama on real-time map

January 26, "Baidu Migration" website officially online. On the Chinese map of the homepage, every jumping point is the destination for people to start and arrive. Clicking on any city will show the largest number of emigration and immigration figures in the city over the past 8 hours.

Click "Beijing", we will see, 26th 11-19, from Beijing, the top 3 most popular destinations are Baoding, Tianjin, Texas, the influx of Beijing, Tianjin, Baoding, Chengdu, Shanghai. At the same time, the top 3 of the country's hottest spring festival, Chengdu to Beijing, Shanghai to Chuzhou, Tianjin to Texas. The author also looked at the January 16 Spring Festival After the start of the daily real-time data list, the two-way flow between Beijing and Chengdu, has been ranked the hottest line of the first few. Meanwhile, Beijing and Shanghai on the Beijing-Shanghai Line, between Beijing and Zhengzhou on the Guangzhou, are also popular routes for migrating people. Through the new technology, I see that Beijing, Shanghai, Guangdong and other provinces and cities, has been the emigration of large provinces. This is in line with the basic judgment of the Spring Festival-these areas have historically developed and imported more people.

In addition, new trends are emerging. "With big data, we found some interesting phenomena, such as the ' reverse-station migration ' of the population," he said. Taking Chengdu as an example, we found that a lot of people were running to Beijing during the Spring Festival. Because now many young people work in big cities, after work with children do not go home, parents to Beijing for the New Year, which formed a peak of the reverse migration. "Baidu Brand communication deputy director Xu Jiye said." The figures tally with the statistics of the Chengdu Railway Administration, which has grown more than 60% per cent in Chengdu to Beijing this year, compared with last year.

The Baidu picture shows the Spring Festival, is based on lbs (location-based services) technology innovation. Its data is updated every 8 hours, including national railways, highways and airlines.

"There are 200 million mobile phone users in China using Baidu Map, the user each location changes, Baidu can get data." The mobile Internet users ' positioning information aggregated into large data for analysis, can outline the migration trajectory of people. "Baidu lbs Technical Director Gu Wei Introduction.

Travel during the Spring festival in the purchase data

In addition to getting big data from changes in people's position, "Ticket purchase Information" is another way to get big data.

8.4 billion times, this is the January 9 12306 website and the total number of mobile phone terminals. This day, people can buy 29 of the train tickets, is the "hottest" home day. This is equivalent to every Chinese people through the computer or mobile phone access to the site more than 6 times. On this day, the average number of clicks per second is 240,000 times, which means that when the ticket starts, if the mouse is delayed for 1 seconds, it is already behind the 20多万次. No wonder 12306 of the site's train tickets released every time, almost all of the "second kill" state-to go back to Xi ' an small high from the day 8 o'clock in the morning to brush the ticket, has been brushed to 2 o'clock in the afternoon more, only to buy an incomparable "precious" ticket.

12306 of the data on the site show that the average train ticket every day, you need to visit the site nearly thousands of times to book success. In a slightly "brutal" big data, full of everyone wants to go home in an anxious mood. This day, the net buys the train ticket to reach 5.01 million, accounts for that day all ticket sales volume 57.5%. Under the impact of Internet and telephone ticketing, traditional outlets are fading, and people who do not use digital technology to buy tickets are getting more and more difficult, falling into a new round of "digital divide".

This year, a total of 14 million people use Alipay to grab tickets, these data to form large data, also shows the Spring Festival. Alipay released the "Pay The Treasure User Spring Festival Report" shows that Hunan people, Hubei people, Henan people, become the "main force" of the Trans-province Spring Festival. The data show that Guangdong, Zhejiang, Beijing, Shanghai and Jiangsu are the main jobs of these uprooted people. Among them, Guangdong by the spring Festival "away" the number of people is the most.

However, the big data also shows that now out of the crowd no longer blindly "peacock fly Southeast", the most concentrated people flow, is 200-800 kilometers away from home area. For example, Beijing, the outflow of the population is mainly concentrated in Baoding, Handan, Shijiazhuang, Zhangjiakou, Tianjin, 5 neighboring cities. And such popular lines as Guangdong to Zhanjiang, Xian to Xianyang, Wuhan to Huanggang, Chongqing to Chengdu, etc., show the rise of some urban agglomerations.

Experts say that with the development of mobile internet in the future, large data technology is of great significance in analyzing the direction of population migration, urbanization process, urban governance, transportation deployment and cultural exchange in the Spring Festival.

 

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