The population agglomeration is an important aspect of urban growth. China is experiencing huge population distribution now. Activities of population migration greatly affect the population size of the city, thereby affecting the growth of the city.Actual situations can be seen in Beijing, Shenzhen, Shanghai and so on. The cities with large population are usually related to high network density, good educational resources and high wages etc. The purpose of this paper is to explore the factors which influence population agglomeration and how they work. How transportation infrastructure affects the population agglomeration and how much the affect is are key points of this paper.The idea is as follows:First the article makes summaries of the theory of urban growth and the theory of migration. Then the relationship of regional transportation and urban growth and the relationship of urban traffic and urban growth are reviewed.Then it makes analysis on urban traffic development and urban population agglomeration. The analysis shows that urban transportation infrastructure are growing fast in recent years, large population flow into first and second tier cities, and the phenomenon of population agglomeration is more obvious.The next part makes mechanism analysis, including how the urban transportation infrastructure influences the equilibrium of population agglomeration, how the mathematical model is derived, and the analysis of other population agglomeration factors.Then we make empirical research on the influence of transportation infrastructure. We select 209 prefecture level cities and above prefecture level cities during 2004 and 2013 to make regression analysis.And then the cities are divided into large cities, medium-sized cities and small cities according to the size of the population in 2004, respectively for regression analysis. And also The North, Central Region and The west. The results show that the effect of transportation infrastructure on population agglomeration is obviously positive no matter the overall data or the packet data. In addition the wage level per capita, the level of education and the penetration rate of Internet will have an impact on the population. However, the coefficient and the degree of significance are different in different groups. |