Volume XLII-3
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2179-2183, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2179-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-3, 2179-2183, 2018
https://doi.org/10.5194/isprs-archives-XLII-3-2179-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

  30 Apr 2018

30 Apr 2018

THE TYPHOON DISASTER ANALYSIS BASED ON WEIBO TOPIC HEAT

J. Yuan1,3, A. Gong1,2,3, J. Wang1,2,3, and J. Li1,2,3 J. Yuan et al.
  • 1Key Laboratory of Environmental Change and Natural Disaster, MOE, Beijing Normal University, Beijing, China
  • 2Beijing Key Laboratory of Environmental Remote Sensing and Digital City, Beijing Normal University, Beijing, China
  • 3Faculty of Geographical Science, Beijing Normal University, XinJieKouWai Street, Beijing, China

Keywords: Typical cyclone disaster, Weibo data, Topic heat, Quantitative relationship, Damage assessment, Hazard management

Abstract. Could social media data be utilized in hazard evaluation? Typhoon disaster as one of the costly disaster has become devastating threats for human. Moreover, social media change the communication way of human and citizens can turn to this platform to express disasterrelated information at real time. Therefore, social media improves situational awareness and widens the method of hazard information acquiring. With more and more studies investigating in relationship between social media response and degree of damage, the strong correlation has been proved. Weibo as one of the most popular social media in China can provide data with posted text, location, user identification and other additional information. Combining with 10 tropical cyclones and Weibo data in 2013, We perform a quantitative analysis between the grade of hazard situation and Weibo related topic heat in province scale. We provide a new model of Weibo topic heat to evaluate the Weibo activity in study area. Also we demonstrate the hazard assessing formula is H = 1.8845 ln(α) + 15.636 in tropical cyclone disaster. High level goodness of curve fitting also suggest that this equation can be used for rapid assessment of hazard caused by tropical cyclones.