Volume 23 Issue 5
Oct.  2023
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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2023  >  23(5): 183-191
ZHENG Jian-feng, ZHAO Yu-xing, LIU Xin-tong, GUO Ni-nan. Optimal configuration and allocation of berth resources in multi-port regions[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 183-191. doi: 10.19818/j.cnki.1671-1637.2023.05.012
Citation: ZHENG Jian-feng, ZHAO Yu-xing, LIU Xin-tong, GUO Ni-nan. Optimal configuration and allocation of berth resources in multi-port regions[J]. Journal of Traffic and Transportation Engineering, 2023, 23(5): 183-191. doi: 10.19818/j.cnki.1671-1637.2023.05.012
shu

Optimal configuration and allocation of berth resources in multi-port regions

doi: 10.19818/j.cnki.1671-1637.2023.05.012

  • College of Transportation Engineering, Dalian Maritime University, Dalian 116026, Liaoning, China

Funds:

National Natural Science Foundation of China 72371046

National Natural Science Foundation of China 72031005

National Natural Science Foundation of China 71871036

More Information
  • Author Bio:

    ZHENG Jian-feng(1981-), male, professor, PhD, jfzheng@dlmu.edu.cn

  • Received Date: 2023-04-12
    Available Online: 2023-11-17
  • Publish Date: 2023-10-25
    Abstract
  • Under the background of integrated regional port development, by adjusting berthing ports for the ships from different liner shipping companies, the configuration and allocation of berth resources in multi-port regions were investigated. To improve berth utilization, different liner shipping companies were combined to form stable liner ship clusters and determine the optimal matching between berth resources and different liner ship clusters in multi-port regions. A set partitioning model was established to minimize the number of berths and berthing ports to be adjusted, and a three-stage optimization approach dependent on the queuing theory and cooperative game theory was presented. Three ports (Hong Kong Port, Yantian Port, and Shekou Port) in the Pearl River Delta region, with the ships from four liner shipping companies berthing at the region, were numerically analyzed. Numerical analysis results show that by using the three-stage optimization approach, the average queuing length of the ships from these four liner shipping companies decreases from 23.569 1 to 22.930 2, therefore the integration of berth resources in multi-port regions is helpful in relieving port congestion and ship queuing. The number of berths to be allocated by three ports serving four liner shipping companies reduces from 31 to 27, indicating that the reasonable configuration and allocation of berth resources in multi-port regions can not only improve berth utilization, but also reduce the repetitive construction of port resources of different ports. From the perspective of the number of ships served by berths, the port has different attractiveness when serving the ships of various liner ship clusters, indicating that the port should properly select liner shipping companies for serving their ships in order to improve the operation effectiveness of berth resources.

     

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