Abstract

.This paper simulates the economic gravitation between 14 prefecture level cities of Liaoning province by gravity model, and achieves data visualization through ArcMap and Ucinet . It is concluded that the central city group of Liaoning is composed of Shenyang, Liaoyang, Benxi, Anshan, Fushun and Tieling.The southern city group of Liaoning is composed of Dalian, Yingkou, Panjin, Huludao and Jinzhou.

Highlights

  • Over the past decades, it has been manifested that urban agglomeration has become an important force in regional development

  • Quantitative analysis of economic links is the basis for determining the scope of urban agglomerations.In this paper, a gravity model is established to reflect the spatial and economic interaction of cities based on the theory of city connection in regional economics

  • Because Shenyang and Dalian are the leading cities in Liaoning, there is a theory based on the dual core cities in central and southern Liaoning

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Summary

Introduction

It has been manifested that urban agglomeration has become an important force in regional development. Quantitative analysis of economic links is the basis for determining the scope of urban agglomerations.In this paper, a gravity model is established to reflect the spatial and economic interaction of cities based on the theory of city connection in regional economics. In the Chinese urban agglomerations, the central city group of Liaoning is a typical resource-based city group in Northeast China. Because Shenyang and Dalian are the leading cities in Liaoning, there is a theory based on the dual core cities in central and southern Liaoning The central Liaoning region includes Shenyang, Anshan, Fushun, Benxi and Liaoyang).with the increasing role of the urban system in revitalizing the old industrial base in Northeast China, it is necessary to study the spatial economic structure and hierarchical structure of the city. We take Liaoning Province as an example to make an empirical analysis

Related Work
Data and model
Gravity model
Empirical analysis
Urban agglomeration Division
Conclusion

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