Acta Geodaetica et Cartographica Sinica ›› 2023, Vol. 52 ›› Issue (3): 490-500.doi: 10.11947/j.AGCS.2023.20210496

• Cartography and Geoinformation • Previous Articles     Next Articles

Spatio-temporal process based information aggregation method of disaster events in microblog text

YE Peng1,2,3, ZHANG Xueying1,4, ZHANG Chunju5   

  1. 1. Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education, Nanjing 210023, China;
    2. Urban Planning and Development Institute, Yangzhou University, Yangzhou 225127, China;
    3. College of Architectural Science and Engineering, Yangzhou University, Yangzhou 225127, China;
    4. Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application, Nanjing 210023, China;
    5. School of Civil Engineering, Hefei University of Technology, Hefei 230009, China
  • Received:2021-08-27 Revised:2022-06-15 Published:2023-04-07
  • Supported by:
    The National Natural Science Foundation of China (No. 41971337);The National Key Research and Development Program of China (No. 2021YFB3900903);The Key Project of Philosophy and Social Science Research in Colleges and Universities in Jiangsu Province (No. 2022SJYB2128);The Open Fundation of Key Laboratory of Virtual Geographic Environment (Nanjing Normal University), Ministry of Education (No. 2021VGE01)

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Abstract: The frequent occurrence of various disaster events has become a major threat to global sustainable development. In the era of big data, microblog text has been gradually applied to the prevention, preparation, response and recovery of disaster management. However, previous studies mostly focused on the acquisition of different disaster information in microblog text, while ignoring the structural integration of this fragmented information. In this paper, an information aggregation method of disaster events in microblog text is proposed. First, a multi-level disaster event information model is constructed from the spatio-temporal perspective. Then, the information elements of disaster events are extracted from the microblog text. Finally, a process-oriented information aggregation model based on “Object-State” is constructed. On this basis, it can be solved that the problems of decentralization, spatio-temporal granularity diversification and disorder of disaster event information in microblog text. Based on the case study of typhoon “Lekima” event using Sina Weibo, the results show that the method proposed in this paper can comprehensively acquire the information of different objects on every spatio-temporal node during the process of typhoon events, which is beneficial to mining disaster emergencies in small scale from microblog text.

Key words: disaster events, spatio-temporal process, multi-level information aggregation, microblog text

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