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A Review of the Research on Emergency Logistics for Tropical Cyclone Disasters in Guangxi

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  • Guoyou Yue

    (Naresuan University, Thailand Author-2-Name: Boonsub Panichakarn Author-2-Workplace-Name: Faculty of Logistics and Digital Supply Chain, Naresuan University, 99 Moo.9, Thapo, Mueang, 65000, Phitsanulok, Thailand Author-3-Name: Author-3-Workplace-Name: Author-4-Name: Author-4-Workplace-Name: Author-5-Name: Author-5-Workplace-Name: Author-6-Name: Author-6-Workplace-Name: Author-7-Name: Author-7-Workplace-Name: Author-8-Name: Author-8-Workplace-Name:)

Abstract

Objective - The purpose of this paper is to find out the key research direction and disaster relief optimization method of governments and organizations at all levels in Guangxi to deal with tropical cyclone disasters. Methodology/Technique - In terms of research methods, most of the research results focus on the qualitative research of emergency logistics, and the results of quantitative research are relatively few, but there are many kinds of quantitative calculation methods. In terms of focus, the optimization methods of emergency supplies dispatching are studied more, but the forecast results of emergency supplies requirements are less. Finding - Through literature survey method and in-depth interview method, the research status of emergency logistics is reviewed and analyzed in four aspects: tropical cyclone disaster, basic theory and method of emergency logistics, emergency supplies requirements prediction and emergency supplies dispatching. Through literature combing, there are three main aspects of the discovery. In terms of disaster types, most of the existing research results pay more attention to earthquake, flood and other natural disasters emergency logistics treatment, the results of emergency logistics treatment for tropical cyclone disasters are less, and the results of emergency logistics treatment for tropical cyclone disasters in Guangxi are fewer. Novelty - By comparing and determining the future research direction of this study, we focus on the formation law of tropical cyclone disaster chain in Guangxi, the optimization treatment methods and practical applications of emergency supplies requirements prediction and emergency supplies dispatching. The research results provide theoretical and methodological guidance for governments and organizations at all levels in Guangxi to carry out tropical cyclone disaster relief, and also point out the research direction and focus for further research in the future. Type of Paper - Empirical.

Suggested Citation

  • Guoyou Yue, 2021. "A Review of the Research on Emergency Logistics for Tropical Cyclone Disasters in Guangxi," GATR Journals gjbssr591, Global Academy of Training and Research (GATR) Enterprise.
  • Handle: RePEc:gtr:gatrjs:gjbssr591
    DOI: https://doi.org/10.35609/gjbssr.2021.9.2(3)
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    1. Changshi Liu & Gang Kou & Yi Peng & Fawaz E. Alsaadi, 2019. "Location-Routing Problem for Relief Distribution in the Early Post-Earthquake Stage from the Perspective of Fairness," Sustainability, MDPI, vol. 11(12), pages 1-16, June.
    2. Desrochers, M. & Lenstra, J. K. & Savelsbergh, M. W. P., 1990. "A classification scheme for vehicle routing and scheduling problems," European Journal of Operational Research, Elsevier, vol. 46(3), pages 322-332, June.
    3. Rodríguez-Espíndola, Oscar & Albores, Pavel & Brewster, Christopher, 2018. "Dynamic formulation for humanitarian response operations incorporating multiple organisations," International Journal of Production Economics, Elsevier, vol. 204(C), pages 83-98.
    4. Hribar, Rok & Potočnik, Primož & Šilc, Jurij & Papa, Gregor, 2019. "A comparison of models for forecasting the residential natural gas demand of an urban area," Energy, Elsevier, vol. 167(C), pages 511-522.
    5. Sheu, Jiuh-Biing, 2010. "Dynamic relief-demand management for emergency logistics operations under large-scale disasters," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 46(1), pages 1-17, January.
    6. Zhang, Y. & Weng, W.G. & Huang, Z.L., 2018. "A scenario-based model for earthquake emergency management effectiveness evaluation," Technological Forecasting and Social Change, Elsevier, vol. 128(C), pages 197-207.
    7. Sha-lei Zhan & Nan Liu & Yong Ye, 2014. "Coordinating efficiency and equity in disaster relief logistics via information updates," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(8), pages 1607-1621, August.
    8. Garrido, Rodrigo A. & Lamas, Patricio & Pino, Francisco J., 2015. "A stochastic programming approach for floods emergency logistics," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 75(C), pages 18-31.
    9. Oloruntoba, Richard, 2010. "An analysis of the Cyclone Larry emergency relief chain: Some key success factors," International Journal of Production Economics, Elsevier, vol. 126(1), pages 85-101, July.
    10. Editors, 2014. "International Journal of Systems Science," International Journal of Systems Science, Taylor & Francis Journals, vol. 45(12), pages 1-1, December.
    11. Equi, Luisa & Gallo, Giorgio & Marziale, Silvia & Weintraub, Andres, 1997. "A combined transportation and scheduling problem," European Journal of Operational Research, Elsevier, vol. 97(1), pages 94-104, February.
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    Keywords

    Violent Extremism; Terrorism; Women; Law; Countering Violent Extremism; Preventing Violent Extremism.;
    All these keywords.

    JEL classification:

    • N7 - Economic History - - Economic History: Transport, International and Domestic Trade, Energy, and Other Services
    • Q54 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Environmental Economics - - - Climate; Natural Disasters and their Management; Global Warming

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