The workshop addresses the challenges of emergency management based on advanced GIS technologies.
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Effective situational awareness to wildfire emergency command based on multi-model forecasting system
Maintaining and sustaining situational awareness is regarded as a primary task in a wildfire incident response. Clearly, due to the complexity of wildfire incidents, there are a wide range of significant hazards and risks which need to be considered. To ...
How to find environmental risk factors of zoonotic infectious disease quickly
Analysis on zoonotic infectious diseases is an important issue in emergency management as it significantly supports governmental and medical decision making when a zoonotic infectious disease outbreaks. To effectively prevent and control the diseases, ...
Emergency online attention and psychological distance under risk
Risk communication is an effective means of emergency management. Online information plays an important role in risk communication, especially in the Big Data Era. Citizens' psychology to send and receive information determines their online behavior ...
Composition of simulation data for large-scale disaster estimation
When a large-scale natural disaster occurs, it is necessary to quickly collect damage information so that disaster-relief operations and wide-area support in accordance with the scale of the natural disaster can be initiated. Previously, we proposed a ...
A scenario-based case representation model in spatio-temporal framework
In this paper, a scenario-based case representation model in spatio- temporal framework is developed. The term 'scenario' is defined formally in this paper, and formal representation of scenario is presented. The developed case representation model is ...
Assessment for spatial driving forces of HFMD prevalence in Beijing, China
Hand-foot-mouth disease (HFMD) outbreak greatly threatened Beijing city, the capital city of China, in 2008. The control prevention of HFMD has become an urgent mission for Beijing Center for Disease Control and Prevention and a focus problem for the ...
Event-driven data mining methods for large-scale market prediction: a case study of an agricultural products company
Stock market is often affected by events, especially emergencies, such as natural disasters. Stock price prediction is significant to traders in this market as the references for the future to better invest and for market supervision. In this paper, the ...
CPS model based online opinion governance modeling and evaluation of emergency accidents
In the last decades, there have been much more public health crises in the world such as H1N1, H7N9 and Ebola out-break. In the same time, it has been proved that our world has come into the time when public crisis accidents number was growing fast. ...
Offline crisis mapping by opportunistic dissemination of crisis data after large-scale disasters
- Partha Sarathi Paul,
- Hridoy Sankar Dutta,
- Bishakh Chandra Ghosh,
- Krishnandu Hazra,
- Sandip Chakraborty,
- Sujoy Saha,
- Subrata Nandi
Decision making after an emergency like those after a large-scale disaster (natural/man-made) is often impaired due the non-availability of crisis information from field. The key reason behind such hindrance in getting information off the field is due ...
Research of spatial distribution rules of mass incidents based on GIS
The research of hot-spots is an important subject in public safety field as well as GIS system application, it reveals the spatial distribution law of crime and help develop targeted security preventive strategy, providing safeguards for the whole ...
A GIS-based urban vulnerability and emergency response research after an earthquake disaster
Seismic disaster can cause severe damage to the urban system like infrastructure breakdown, residential isolation and corresponding secondary disasters. Dealing with the impact of these damages at the urban area requires a better understanding of city ...
Calibrating car-following model with trajectory data by cell phone
This paper discussed the possibility of using trajectory data by cell phone in calibration of car-following model. Experimental study of car following behaviors is performed with both GNSS devices and cell phones used for trajectory data collection. GM ...
An entropy-based framework for efficient post-disaster assessment based on crowdsourced data
After a disaster, authorities need to efficiently collect and analyze data from the disaster area in order to increase their situational awareness and make informed decisions. The conventional data acquisition methods such as dispatching inspection ...
Smart navigation and dynamic path planning of a micro-jet in a post disaster scenario
Small sized unmanned aerial vehicles (UAV) play major roles in variety of applications for aerial explorations and surveillance, transport, videography/photography and other areas. However, some other real life applications of UAV have also been ...
The phenomenon of geolocation aggregation of city nodes community partition in network of WeChat
WeChat is a widely used online social media application in China for its popularity. Based on the analysis of big HTML5 data from WeChat, the Geography Interaction Activity Network (GIAN) is acquired first in this paper. Then we analyze the geographical ...
On storing and retrieving geospatial big-data in cloud
Cloud storage is a kind of external storage which can provide by unlimited storage space with high availability and low cost on maintenance. On the other side, the size of geospatial data is too large and is increasing dramatically which makes such data ...
Index Terms
- Proceedings of the Second ACM SIGSPATIALInternational Workshop on the Use of GIS in Emergency Management
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
EM-GIS '17 | 28 | 14 | 50% |
EM-GIS '16 | 26 | 16 | 62% |
Overall | 54 | 30 | 56% |