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Research on regional spatial logistics information integration method based on big data

Author

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  • Xiang-dong Chen
  • Gregory Kalra

Abstract

Aiming at the shortcomings of current regional spatial logistics, such as low efficiency of logistics resource utilisation, high cost of logistics transportation and slow speed of goods transportation, a regional spatial logistics information integration method based on large data is proposed. Firstly, the integration principle and process of regional spatial logistics information are described. Then, the logistics transportation route optimisation model is assumed. Finally, the integration of regional spatial logistics information is realised by using the logistics transportation route optimisation model with time windows. The experimental results show that the proposed regional spatial logistics information integration method can improve the utilisation efficiency of logistics resources, and the data consistency can reach 96.9%. When the number of goods is 10,000 the transportation cost of the proposed method is the lowest of 12,300 yuan, so the transportation time of the method is the shortest.

Suggested Citation

  • Xiang-dong Chen & Gregory Kalra, 2021. "Research on regional spatial logistics information integration method based on big data," International Journal of Information Technology and Management, Inderscience Enterprises Ltd, vol. 20(3), pages 234-249.
    • Handle: RePEc:ids:ijitma:v:20:y:2021:i:3:p:234-249
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