Research on the City Network of Guangdong Province from the Perspective of Road Freight: An Analysis Based on the Data of "Cainiao Network"

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Abstract Summary
The flow of human and material elements is two important components of the interaction of physical entities among cities in the region, which has a profound impact on the development of cities and regions. In the era of "Internet of Things", the flow of goods among cities has become an indispensable factor affecting the regional spatial pattern. Researches about regional spatial structure based on logistic statistics have been widely carried out, however, most of them still belong to the realm of static pattern judgment because of difficulties in data acquisition. With the improvement of the theory of "space of flow" and the further development of logistics informatization, more and more freight transportations can be recorded in some databases, it is possible to study regional logistics network using "flow elements" among cities. Based on the freight order quantity in three months(2018) from "Cainiao Network", which is the largest integrated logistics information Internet platform in China, this paper analyzes the city network among cities in Guangdong Province, and tries to explore its relationship with urban statistical data. The main conclusions are as follows: (1) Highway freight-based city network in Guangdong is centered on the two metropolitan areas which composed of Guangzhou-Foshan and Shenzhen-Dongguan in the Pearl River Delta, and the coastal cities have strong links with each other, while the links between inland cities are relatively weak. (2) Based on the direction of departure and arrival of goods, Guangdong cities have different roles in provincial freight transport system and they can be divided into "hub type", "equilibrium type", "place of origin" and "hinterland", reflecting the status and characteristics of each city in the regional freight network. (3) The city network based on the actual freight orders can reflect the reality of regional logistics more truly than the “gravity model” network which used before, so this study can give a new perspective to regional research. Finally, the policy implications of this study for urban and regional planning are discussed.
Abstract ID :
ISO12
Submission Type
Tongji university, College of architecture and urban planning
Tongji University

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