Call for Papers
It is well known that hurricanes, earthquakes, and other natural disasters cause immense physical destruction, loss of life and property around the world. Unfortunately, the frequency and intensity of natural disasters has increased significantly in recent decades, and this trend is expected to continue. Facing these possible and unexpected disasters, disaster management has become a big problem for governments across the world. Recently, however, people’s mobile phone data, GPS trajectories data, location‐based online social networking data, surveillance video data, satellite imagery and IC card data have become readily available and this information has increased explosively. The explosion of this sensing data has become “Big Data”, and offers a new way to circumvent the methodological problems of earlier research for more effective disaster management. As such, big data for more effective disaster management is spurring on tremendous amounts of research and development of related technologies and applications.
The goal of this special issue is to provide a premier forum for researchers working on big data for disaster management to present their recent research results. It also provides an important opportunity for multidisciplinary studies connecting data mining and big data analytics to disaster management. Topics of interest include, but are not limited to
- New theory and models for big data computing
- Content analysis and mining for disaster management
- Integration of dedicated sensor and multi‐purpose sensor big data for disaster management
- Integration of heterogeneous extreme events data sources
- Disaster information systems
- Disaster prevention, mitigation, preparedness, response, and recovery using big data
- Big data in international cooperation/responses for disaster management
Risk reduction using big data
- Big data in interagency network for disaster management
- Pre‐incident training and testing using big data for disaster management
- Use of social media in emergencies
- Filtering of noise and misinformation in open source extreme events data
- Security and privacy in multimedia big data for disaster management
- Interaction, access, visualization of big data for disaster management
- Big data in disaster tourism
- Big data in extreme events management during multi‐hazards
- Authors are encouraged to submit high quality, original work that has neither appeared in, nor is under consideration by other journals.
- All papers will be reviewed following standard reviewing procedures for the Journal.
- Papers must be prepared in accordance with the Journal guidelines: http://www.springer.com/11280 .
- Submit manuscripts to: http://WWWJ.edmgr.com.
- Manuscript Due: May 1, 2018
- First Notification: August 1, 2018
- Revised Manuscript: September 1, 2018
- Notification of Acceptance: October 1, 2018
- Xuan Song, The University of Tokyo, Japan (Email: firstname.lastname@example.org‐tokyo.ac.jp). Webpage: http://shiba.iis.u-tokyo.ac.jp/song/
- Song Guo, The Hong Kong Polytechnic University, Hong Kong (Email: email@example.com). Webpage: http://www4.comp.polyu.edu.hk/~cssongguo/
- Haizhong Wang, Oregon State University, USA (Email: Haizhong.Wang@oregonstate.edu). Webpage: http://cce.oregonstate.edu/wang