Volume 41 Issue 2
Apr.  2023
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Article Navigation >  Journal of Transport Information and Safety  > 2023  >  41(2): 103-111
CHENG Cheng, CHEN Wendong, MA Hongsheng, LIU Xize, CHEN Xuewu. A Method for Identifying Operation Zones of Free-floating Shared Bikes Based on Leiden Algorithm: A Case Study of the City of Nanjing[J]. Journal of Transport Information and Safety, 2023, 41(2): 103-111. doi: 10.3963/j.jssn.1674-4861.2023.02.011
Citation: CHENG Cheng, CHEN Wendong, MA Hongsheng, LIU Xize, CHEN Xuewu. A Method for Identifying Operation Zones of Free-floating Shared Bikes Based on Leiden Algorithm: A Case Study of the City of Nanjing[J]. Journal of Transport Information and Safety, 2023, 41(2): 103-111. doi: 10.3963/j.jssn.1674-4861.2023.02.011
shu

A Method for Identifying Operation Zones of Free-floating Shared Bikes Based on Leiden Algorithm: A Case Study of the City of Nanjing

doi: 10.3963/j.jssn.1674-4861.2023.02.011
  • 1.

    Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China

  • 2.

    Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 211189, China

  • 3.

    School of Transportation, Southeast University, Nanjing 211189, China

  • 4.

    Shenzhen General Integrated Transportation and Municipal Engineering Design & Research Institute Co., Ltd, Shenzhen 518003, Guangdong, China

  • Received Date: 2022-09-10
    Available Online: 2023-06-19
    Abstract
  • In the operation and management of the free-floating shared bike (FFSB) industry, the operation zones are mainly determined based on administrative boundaries of districts without fully considering the spatial distribu-tions of travel demand of FFSB, resulting in a large number of inter-zone transfer tasks which seriously deteriorates the efficiency of its operation. To this end, a new method for identifying operation zones of FFSB based on a Leiden community detection algorithm is developed using the bike order data from the City of Nanjing. A three-layer data structure of"travel OD (origin-destination)-traffic zone-spatial interaction network"is developed. The Leiden com-munity detection algorithm is used to identify the FFSB communities, which are taken as the operation sub-zones of FFBS to divide the operation zones. By comparing the communities of FFBS in different years, the temporal charac-teristics of the spatial distribution of FFBS travel are revealed. In addition, two indicators, network modularity and computational efficiency, are adopted to compare the performance of various community detection algorithms and to further verify the effectiveness and superiority of the Leiden algorithm in this research problem. The results show that: ①regarding the FFBS travel in 2019, the proposed algorithm identifies 23 activity communities, and the pro-portion of FFBS travel within the communities reaches 82.9%, which is higher than the traditional partition method by 11%. This indicates that the proposed algorithm can make more FFBS travel be classified within communities, in-crease the self-cycle rate of shared bikes within a zone, and improve the operational efficiency. ② Comparing to the case in 2019, the scale of communities decreased and the number of communities increases in 2022, implying a re-duction in the travel distance of FFBS users and a decrease in the proportion of inter-zone travel. ③ In terms of the results from the proposed algorithm, the network modularity reaches 0.55, which is significantly improved, compar-ing with the results of traditional CNM algorithm (0.2), Walktrap algorithm (0.31) and Louvain algorithm (0.42). The computation time of the proposed algorithm is 1.1 s, while for the other three algorithms, this value is 6.4, 1.6, and 1.4 s, respectively, which demonstrates the proposed algorithm has a significant improvement in computing effi-ciency. The above results show that the Leiden algorithm is superior to others in terms of partition quality and com-putational efficiency. The proposed method reveals that the spatial characteristics of FFBS travel and can obtain a better zonal management scheme for FFBS, which provides the theoretical guidance for the reasonable determina-tion of partition operation schemes of FFBS.

     

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