Volume 41 Issue 1
Feb.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(1): 140-150
PEI Yulong, SHEN Chen, ZHAI Shuangzhu. A Method for Analyzing the Distribution of Spatial Orientation and Structural Characteristics of Trunk Bus Network[J]. Journal of Transport Information and Safety, 2023, 41(1): 140-150. doi: 10.3963/j.jssn.1674-4861.2023.01.015
Citation: PEI Yulong, SHEN Chen, ZHAI Shuangzhu. A Method for Analyzing the Distribution of Spatial Orientation and Structural Characteristics of Trunk Bus Network[J]. Journal of Transport Information and Safety, 2023, 41(1): 140-150. doi: 10.3963/j.jssn.1674-4861.2023.01.015
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A Method for Analyzing the Distribution of Spatial Orientation and Structural Characteristics of Trunk Bus Network

doi: 10.3963/j.jssn.1674-4861.2023.01.015

  • Transportation Research Center, Northeast Forestry University, Harbin 150040, China

  • Received Date: 2022-06-14
    Available Online: 2023-05-13
    Abstract
  • Trunk bus network (TBN) with a reasonable spatial structure can improve the efficiency of urban public transport services, and reduce traffic congestion on roadways. In order to analyze the characteristics of spatial structure of urban TBN, this paper develops a method by analyzing GIS information of bus network with a topological structure model. Referring to the previous method for analyzing spatial characteristics of road network, a method for calculating the orientation entropy of bus lines and that of bus networks is proposed based on the Shannon entropy theory, respectively. According to the spatial orientation of bus lines between adjacent stations extracted from its topological structure of a TBN, the distribution of spatial orientation of bus lines and networks is measured by their orientation entropy, respectively. Based on the existing standards and studies, the indicators that can reflect the characteristics of spatial structure of bus networks are selected and then combined with orientation entropy to develop a set of evaluation indicators for analyzing spatial structure of TBN. Then, the distribution of spatial orientation and the characteristics of the network structure of TBN are analyzed at the following two levels: line and network. A case study is conducted for the bus network consisting of 63 trunk bus lines in the City of Harbin. Regarding the distribution of spatial orientation of TBN, experiment results show that the orientation entropy of the TBN is 2.84, which is greater than the orientation entropy of any single line within the sample. It is verified that the measured orientation entropies of the bus lines are consistent with their observed patterns. The orientation entropy can effectively quantify the distribution of spatial orientation of the topological structure of bus network; In addition, it is found that the correlation between the orientation entropies of bus lines and the length of bus lines is the highest, followed by that between the repetition coefficient of adjacent bus stations and the number of smart cards used at those stations. In the respective of the characteristics of network structure, experiment results show that the average coefficient of concentration of the TBN consisting of 63 lines in the City of Harbin is 0.467, and the goodness-of-the-fit of the distribution of nodes in the network is 0.978, indicating that the network has a tendency of preferential development, and the network structure is relatively stable. In conclusion, the proposed method based on the Shannon entropy provides an alternative way to describe the distribution of spatial orientation of bus network and can be used to support the planning of the TBN.

     

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