Risk-Aware Site Selection of Transshipment Nodes for Low-Altitude Logistics Route Networks

Authors

  • Changke Shao School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063000, China
  • Zehua Zhang School of Emergency Management and Safety Engineering, North China University of Science and Technology, Tangshan 063000, China

DOI:

https://doi.org/10.54097/w7ng7726

Keywords:

UAV; logistics transportation; transshipment node site selection; SOM algorithm.

Abstract

To balance logistics efficiency and ground safety in urban low-altitude logistics, this paper proposes a risk-aware SOM-based transshipment node siting method. A 10 m static ground risk map is built to screen candidate nodes, and risk suppression and risk-gradient repulsion terms are embedded into the SOM weight update so nodes migrate to low-risk areas while fitting demand. In a 5 km x 5 km Tangshan area, at λ = 0.8 and k = 25, the average service distance rises only 1.55% (254.23 m to 258.16 m), while point risk, 50 m buffer risk, and maximum node risk fall by 17.9%, 16.5%, and 17.1%.

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References

[1] Jia, Y., Su, Y., & Wang, Y. (2023). Improved immune algorithm for sudden cardiac death first aid drones site selection. International Journal of Medical Informatics, 173, 105025. https://doi.org/10.1016/j.ijmedinf.2023.105025.

[2] Kim, M., Hong, W., Lee, Y., & Baek, S. C. (2022). Selection of take off and landing sites for firefighter drones in urban areas using a GIS based multi criteria model. Drones, 6(12), 412. https://doi.org/10.3390/drones6120412

[3] Shavarani, S. M., Golabi, M., & Izbirak, G. (2021). A capacitated biobjective location problem with uniformly distributed demands in the UAV supported delivery operation. International Transactions in Operational Research, 28(6), 3220 3243. https://doi.org/10.1111/itor.12735

[4] Li, Z., Li, S., Lu, J., & Zhang, H. (2025). Air route network planning method of urban low altitude logistics UAV with double layer structure. Drones, 9(3), 193. https://doi.org/10.3390/drones9030193

[5] Li, Z. P., & He, Y. M. (2024). Site selection of UAV take off and landing points in complex mountainous environments based on a combined GA SA algorithm. Science Technology and Engineering, 24(02), 850 857.

[6] Liu, G. C., & Ma, Y. S. (2023). Research on location and task assignment of urban logistics UAV distribution centers. Flight Dynamics, 41(03), 88 94.

[7] Yang, H. Y., Li, Y. F., & Duan, M. Z. (2025). Site selection and path planning of urban logistics UAV take off and landing points. Science Technology and Engineering, 25(28), 12130 12138.

[8] Yang, J. T., & Li, Z. P. (2025). Maximum coverage model site selection of urban UAV take off and landing sites based on spatially continuous demand. Science Technology and Engineering, 25(11), 4793 4800.

[9] Li, Z. L., Li, S., & Zhang, H. H. (2026). Three dimensional route network planning method for urban low altitude logistics UAVs. Journal of Traffic and Transportation Engineering, 26(04), 50 67.

[10] Schwardt, M., & Dethloff, J. (2005). Solving a continuous location routing problem by use of a self organizing map. International Journal of Physical Distribution & Logistics Management, 35(6), 390 408. https://doi.org/10.1108/09600030510608315

[11] Leung, E. K. H., Das, S., & Bektaş, T. (2025). Optimizing delivery systems within the e retail context: a weighted self organizing map for delivery region partitioning. European Journal of Operational Research.

[12] Xu, L., Zhu, Z., Hu, Z., & Zhang, Q. (2025). A study on UAV path planning for navigation mark inspection using two improved SOM algorithms. Journal of Marine Science and Engineering, 13(8), 1537. https://doi.org/10.3390/jmse13081537

[13] Jiang, R., Fan, S. W., & Wang, X. M. (2025). Clustering algorithm based on improved SOM network. Computer Science, 52(08), 162 170.

[14] Zhang, X. X. (2021). Research on emergency facility location based on the importance of urban traffic network nodes [Master’s thesis]. Shijiazhuang Tiedao University.

[15] Zhang, L. Y., Zhang, Z. H., Wang, Q. Q., & Chen, L. (2026). Research on urban low altitude route planning based on ground risk. Flight Dynamics, 44(03), 88 95.

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Published

27-08-2026

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Section

Articles

How to Cite

Shao, C., & Zhang, Z. (2026). Risk-Aware Site Selection of Transshipment Nodes for Low-Altitude Logistics Route Networks. Academic Journal of Science and Technology, 22(1), 58-64. https://doi.org/10.54097/w7ng7726