Paper Info
Title
Crowdsourcing based spatial mining of urban emergency events using social media.
Abstract
With the advances of information communication technologies, it is critical to improve the efficiency and accuracy of emergency management systems through modern data processing techniques. The past decade has witnessed the tremendous technical advances in Sensor Networks, Internet/Web of Things, Cloud Computing, Mobile/Embedded Computing, Spatial/Temporal Data Processing, and Big Data, and these technologies have provided new opportunities and solutions to emergency management. GIS models and simulation capabilities are used to exercise response and recovery plans during non-disaster times. They help the decision-makers understand near real-time possibilities during an event. In this paper, a crowdsourcing based model for mining spatial information of urban emergency events is introduced. Firstly, basic definitions of the proposed method are given. Secondly, positive samples are selected to mine the spatial information of urban emergency events. Thirdly, location and GIS information are extracted from positive samples. At last, the real spatial information is determined based on address and GIS information. At last, a case study on an urban emergency event is given.
Year
DOI
Venue
2015
10.1145/2835596.2835610
EM-GIS
DocType
Citations 
PageRank 
Conference
0
0.34
References 
Authors
12
3
Name
Order
Citations
PageRank
Zheng Xu1317.18
Vijayan Sugumaran297592.17
Hui Zhang314544.24