PROGRESS IN GEOGRAPHY ›› 2022, Vol. 41 ›› Issue (6): 985-998.doi: 10.18306/dlkxjz.2022.06.004

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Differences and relationship between population flow and transportation networks in Northeast China

LI Zhuowei1(), WANG Shijun1,*(), CHENG Lisha2, SHI Xiang3, GUAN Haoming1, SHU Chang4   

  1. 1. School of Geographical Science, Northeast Normal University, Changchun 130024, China
    2. College of Geography and Environment, Henan University, Kaifeng 475004, Henan, China
    3. Northeast Asian Studies College, Jilin University, Changchun 130015, China
    4. School of Mathematics and Statistics, Northeast Normal University, Changchun 130024, China
  • Received:2021-10-12 Revised:2022-02-10 Online:2022-06-28 Published:2022-08-28
  • Contact: WANG Shijun E-mail:lizw198@nenu.edu.cn;wangsj@nenu.edu.cn
  • Supported by:
    National Natural Science Foundation of China(42171198);National Natural Science Foundation of China(42001117);National Natural Science Foundation of China(41801153);The Fundamental Research Funds for the Central Universities(2412020FZ001)

Abstract:

Limited by the difficulty of obtaining individual mobility data, existing studies on population mobility mostly used strength of traffic flow to simulate population flow between cities, while ignoring the differences between them. This study constructed transportation networks based on inter-city bus and train trips in Northeast China, and built population flow networks based on Tencent location big data correspondingly. It then analyzed the differences and relationship between the two types of networks by using social network analysis and quadratic assignment procedure model. The results are as follows: 1) Both railway population network and railway transportation network in Northeast China are characterized by a spatial pattern of dense in the south and sparse in the north and numerous in the east and fewer in the west, with the Harbin-Dalian corridor as the axis. The spatial structure of railway population flow is more dispersed, while the polarization effect of railway transportation network is obvious. 2) There are great differences between road population flow network and road transportation network. There is not only competition but also complementary relationship between roads and railways. That is, road population or transportation flow is often strong in areas with less developed railways. 3) The accuracy of simulating inter-city population flow with a single transportation network is low, while the composite influencing factors can more accurately express the inter-city population flow structure. Among other influencing factors, economic ties and population size do not have significant impact on population flow, while adjacency between cities has a significant impact on the structure of population flow. 4) The fitting regression between railway population flow strength and its transportation network is better than that of roads. This study quantitatively explained the correlation between population flow and its transportation network, which provides a theoretical and practical reference for the simulation of population flow in transportation network.

Key words: population flow, transportation network, differences and relationship, social network analysis, quadratic assignment procedure model, Northeast China