Back to Search
Start Over
Research on the application of mobile phone location signal data in earthquake emergency work: A case study of Jiuzhaigou earthquake
- Source :
- PLoS ONE, Vol 14, Iss 4, p e0215361 (2019)
- Publication Year :
- 2019
- Publisher :
- Public Library of Science (PLoS), 2019.
-
Abstract
- After an earthquake, the important task of emergency rescue work is to minimize casualties, but due to the suddenness of earthquake disasters, it is difficult to obtain enough disaster information immediately, especially personnel distribution and movement information. The traditional methods of obtaining disaster data are through reports from the disaster area or field investigations by the emergency rescue team; this work lags, and its efficiency is low. This paper analyzes the feasibility of using mobile phone location signal data in earthquake emergency rescue work in several respects, such as quantity, location, change rate, and epicentral distance. The results show that mobile phone location signal data can quickly obtain the situation of personnel distribution and quantity after an earthquake, and we find the change rate, distance, etc., can determine the approximate range of the earthquake impact field. Through the data distribution in different time periods, the movement of personnel after the earthquake can be obtained. Based on several situations, we can determine the basic situation of the disaster-stricken areas in times after the earthquake, especially the personnel relevant to the situation, and these data can provide a scientific basis for emergency rescue decision making.
- Subjects :
- China
Computer science
Science
Natural Disasters
0507 social and economic geography
Poison control
ComputerApplications_COMPUTERSINOTHERSYSTEMS
02 engineering and technology
GeneralLiterature_MISCELLANEOUS
Field (computer science)
Task (project management)
Transport engineering
Disaster area
Earthquakes
Rescue Work
0202 electrical engineering, electronic engineering, information engineering
Range (statistics)
Humans
Natural disaster
020203 distributed computing
Multidisciplinary
05 social sciences
Work (electrical)
Mobile phone
Geographic Information Systems
Medicine
Emergencies
050703 geography
Cell Phone
Subjects
Details
- ISSN :
- 19326203
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- PLOS ONE
- Accession number :
- edsair.doi.dedup.....82f98351071ff19473dd1e3733e8c66d