This article comes from the WeChat public account: University of Chaos (ID: hundun-university) , author: Lu Ming, grapefruit, title figure from: vision China

Since 2020, “new infrastructure” has become a hot word on the Internet.

Different from the traditional construction of reinforced concrete such as building bridges and roads, “new infrastructure” is a new economic form based on digitalization. It has not only risen to the level of China’s national strategy, but also a strategic high ground that countries around the world are striving for.

Under this background, many domestic provinces and cities have begun to accelerate the construction of “new infrastructure”, such as Beijing, Shanghai, Jiangsu, Guangzhou, Fujian and so on.

So in the post-epidemic era and the “new infrastructure” wave, will the city’s development path change? How should urban agglomerations gain competitive advantage and how to seize development opportunities?

I. Urban agglomeration and spatial distribution of population

The concept of “urban agglomeration” was proposed, because cities are connected with each other, and are not islands .

To prove this, we have done a series of studies:

As shown in the figure, we use the national truck big data to analyze the connection between cities. Each line segment in the picture represents truck-to-city exchanges between cities.

As you know, trucks bear 90% of the total freight volume in China, so truck data is a very good source of city connections. It can be seen from the figure that the economically developed regions of China are basically concentrated on the right side of the red “Hu Huanyong Line” (Heihe-Tengchong Line).

This picture uses different colors to indicate the closeness of the connection between the city and the truck. From this we can see that the city has begun to show a network-like distribution. Basically, with the urban centers of some regions as the core, some urban agglomerations began to appear, and the most powerful urban agglomerations were distributed around the Yangtze River Delta and Pearl River Delta.

Combined with the big data of passenger cars, it also shows the close connection between cities and starts to appear network-like distribution.

If the color depth is processed, it can be seen that there are still some lighter or blank places in the picture. These places are far away from any urban agglomeration, and there is a high probability that they will become the future population outflow places; The dense place indicates that it is a place around the central city and will become the inflow of population.