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Finding of urban rainstorm and waterlogging disasters based on microblogging data and the location-routing problem model of urban emergency logistics

Author

Listed:
  • Xianhua Wu

    (Shanghai Maritime University
    Nanjing University of Information Science and Technology
    Nanjing University of Information Science and Technology)

  • Yaru Cao

    (Nanjing University of Information Science and Technology)

  • Yang Xiao

    (Nanjing University of Information Science and Technology)

  • Ji Guo

    (Shanghai Maritime University
    Nanjing University of Information Science and Technology
    Nanjing University of Information Science and Technology)

Abstract

Due to the climate change and the rapid progress of urbanization, extreme weather disasters such as urban rainstorm and waterlogging are frequent. Therefore, how to find the waterlogging points in the presence of disasters and how to optimize the distribution of urban emergency logistics and reduce the negative impact of disasters have become a hot and difficult issue for government departments and scholars. First of all, the idea and method of using the big data of microblogging to obtain urban rainstorm and waterlogging disasters and public sentiment are put forward. In addition,this thesis constructed the location-routing problem model of urban emergency logistics in the situation of rainstorm and waterlogging disaster, and found out the dynamic emergency distribution path of Nanjing in the situation of waterlogging disaster by using NSGA-III algorithm. Research shows that the risk management of urban rainstorm and waterlogging disasters, together with social media data, is a feasible way to obtain on-site data of disasters and carry out risk assessment of disasters. At the same time, the emergency logistics location-positioning model and algorithm can provide a reference for similar disaster emergency logistics distribution network and the conclusion can provide empirical reference for cities to cope with rainstorm and waterlogging disasters.

Suggested Citation

  • Xianhua Wu & Yaru Cao & Yang Xiao & Ji Guo, 2020. "Finding of urban rainstorm and waterlogging disasters based on microblogging data and the location-routing problem model of urban emergency logistics," Annals of Operations Research, Springer, vol. 290(1), pages 865-896, July.
    • Handle: RePEc:spr:annopr:v:290:y:2020:i:1:d:10.1007_s10479-018-2904-1
    DOI: 10.1007/s10479-018-2904-1
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    Cited by:

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    3. Wen Li & Rengui Jiang & Jiancang Xie & Yong Zhao & Jiwei Zhu & Siyu Yang, 2023. "Emergency management decision of urban rainstorm and flood disasters based on similar cases analysis," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 116(1), pages 753-768, March.
    4. Wu, Xianhua & Deng, Huai & Li, Hua & Guo, Yiming, 2021. "Impact of Energy Structure Adjustment and Environmental Regulation on Air Pollution in China: Simulation and Measurement Research by the Dynamic General Equilibrium Model," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    5. Han Wu & Junwu Wang, 2021. "A Method for Prediction of Waterlogging Economic Losses in a Subway Station Project," Mathematics, MDPI, vol. 9(12), pages 1-23, June.
    6. Sheng, Jichuan & Qiu, Wenge & Han, Xiao, 2020. "China’s PES-like horizontal eco-compensation program: Combining market-oriented mechanisms and government interventions," Ecosystem Services, Elsevier, vol. 45(C).
    7. Jiale Zhao & Fuqiang Yang & Yong Guo & Xin Ren, 2022. "A CAST-Based Analysis of the Metro Accident That Was Triggered by the Zhengzhou Heavy Rainstorm Disaster," IJERPH, MDPI, vol. 19(17), pages 1-20, August.
    8. Santoveña-Casal, Sonia & Pérez, Ma Dolores Fernández, 2022. "Relevance of E-Participation in the state health campaign in Spain: #EstoNoEsUnJuego / #ThisIsNotAGame," Technology in Society, Elsevier, vol. 68(C).

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