Abstract
The study uses python software to crawl O-D big data on the freight information platform and construct a frequency matrix based on freight connections between cities, then forming a freight network. There are 31 cities in the middle reaches of the Yangtze river that form the subject of the research. The study adopts the methods of the node degree, community analysis, network motif analysis, and multielement regression analysis to assess the differences of the spatio-temporal evolution and factors influencing the freight network in 2014 and 2018. The following conclusions can be drawn: (1) the freight network has experienced a change in pattern from “island” to “radial,” and the tightness of the freight network is strengthened. (2) The circulation accumulation of elements causes the change of node degree to have a high tendency of agglomeration of capital and central cities. (3) The phenomenon of “enclave freight” and “freight union” exists in the inner-city group, but the “freight alliance” formed by the “enclave” is relatively loose. (4) With the increase in the scale of the freight network, the module characteristics are gradually simplified. (5) Science and technology run through the entire process of the formation and development of the urban freight network.
Highlights
In 2015, a development plan for urban agglomeration in the middle reaches of the Yangtze river was approved by the State Council, which declared the region a super-large urban agglomeration mainly formed by the urban agglomeration of Wuhan, Changsha-Zhuzhou-Xiangtan, and Poyang Lake
A community, known as a cluster, is a collection of actors, in which actors have a relatively strong, direct, and close relationship. e study uses the CONCOR method to divide the urban agglomeration in the middle reaches of the Yangtze river into several urban clusters. en, according to the clustering index, we evaluate the results of the division: the higher the index, the better the results of the division, the lower the index, indicating that the current network community structure is not prominent
Based on the freight data pertaining to the urban agglomeration in the middle reaches of the Yangtze River in 2014 and 2018, this study analyzes the structural characteristics, temporal and spatial evolution, and influencing factors its freight network. e main conclusions are as follows: (1) From the perspective of the characteristics of freight structure, for a single city, the cyclic accumulation of elements causes the change in node degree to agglomerate in provincial capitals and central cities
Summary
In establishing a new development pattern of domestic and international double circulation, modern logistics, as an important link between production and consumption, plays a vital role in optimizing regional resource allocation and regional economic structure. Ye and Duan [8] used the network analysis method to study the spatial structure and factors influencing the urban network in the Yangtze River Delta based on their data on a branch of the headquarters of the top 100 logistics enterprises in China. E present study uses freight information platform data to ascertain spatio-temporal evolution and factors influencing the intercity freight network, covering 31 prefecture-level, urban agglomerations in the middle reaches of the Yangtze River, and explores the interaction between urban nodes and freight network structure, thereby providing a practical basis and technical path for the improvement of the freight network layout of urban agglomeration in the middle reaches of the Yangtze river. According to internal contact information, we constructed a freight frequency matrix (31 × 31) to form an intercity network
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