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Overview of Domestic Dynamic Emergency Logistics Research and Frontier Evolution — Visual Analysis Based on Citespace

In: Economic Management and Big Data Application Proceedings of the 3rd International Conference

Author

Listed:
  • Ya Zhao
  • Na Cui

Abstract

Frequent in recent years, all kinds of emergencies, to dissolve the major security risks, timely response to the treatment of all kinds of disasters and accidents, and protect people’s lives and property security and maintain social stability, many experts and scholars in different cases of the incident made a practical scheme of dynamic mining of decision and analysis in recent years, domestic research dynamic emergency logistics and explore its research direction, Based on China National Knowledge Infrastructure (CNKI) database, this paper selected papers on dynamic emergency logistics as the research object from 2006 to 2022. With the help of CiteSpace visualization software, a visual analysis was carried out from four aspects: an annual number of publications, author distribution map, keyword clustering, and research hotspots. Results show that the dynamic emergency logistics research in China can be summarized as an emergency plan, emergency management, dynamic allocation, dynamic decision-making, such as clustering direction, dynamic research of emergency logistics has experienced the start stage, development stage, and development stage, the research focus in this field has focused on the dynamic allocation of emergency supplies, facility location, modeling and vehicle routing optimization problem.

Suggested Citation

  • Ya Zhao & Na Cui, 2024. "Overview of Domestic Dynamic Emergency Logistics Research and Frontier Evolution — Visual Analysis Based on Citespace," World Scientific Book Chapters, in: Sikandar Ali Qalati (ed.), Economic Management and Big Data Application Proceedings of the 3rd International Conference, chapter 85, pages 960-968, World Scientific Publishing Co. Pte. Ltd..
  • Handle: RePEc:wsi:wschap:9789811270277_0085
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    Keywords

    Big Data; Information Management; Economic; Data Applications; Blockchain; E-commerce;
    All these keywords.

    JEL classification:

    • C63 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - Computational Techniques
    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs
    • O14 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Industrialization; Manufacturing and Service Industries; Choice of Technology

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