Design of Urban Emergency Material Allocation Supply Chain System Based on Multimodal Information Technology

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Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3 (CIPA 2023)

Abstract

The demand for emergency supplies from sudden natural disasters is fast and accurate, and the allocation of urban emergency supplies is affected by multimodal and multiple information factors. This article analyzes the current situation of urban emergency supplies allocation under multimodal information technology, proposes detailed emergency entities, scientific selection of transportation methods, classified planning of transportation networks, unified emergency transportation standards, and application of emergency information platforms, to achieve effective construction of urban emergency supplies allocation supply chain, and to improve the processing efficiency and responsiveness of the entire logistics supply chain in the event of an emergency.

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Acknowledgements

This work was supported by three projects namely “the 2021 Guangdong University Student Innovation Training Program Project (Project No. S202113684025); the Guangdong 2021 University Research Platform Featured Innovation Project (Humanities and Social Sciences) (Project No. 2021WTSCX131); and the 2022 Guangdong Provincial Philosophy and Social Sciences Planning Project—Discipline Co construction Project (Project No. GD22XGL68)”.

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Correspondence to Zhong-hua Shen .

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Liu, Lj., Li, Sh., Liang, Zh., Gong, Yy., Shen, Zh. (2024). Design of Urban Emergency Material Allocation Supply Chain System Based on Multimodal Information Technology. In: Jansen, B.J., Zhou, Q., Ye, J. (eds) Proceedings of the 3rd International Conference on Cognitive Based Information Processing and Applications—Volume 3. CIPA 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 198. Springer, Singapore. https://doi.org/10.1007/978-981-97-1983-9_9

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