The ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management (EM-GIS 2015) was held for the first time with the 23rd ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2015). The workshop has been a successful event that attracted participants from both academia and industry. The workshop addresses the challenges of emergency management based on advanced GIS technologies. It has brought together researchers and practitioners in massive spatio-temporal data management, spatial database, spatial data analysis, spatial data visualization, data integration, model integration, cloud computing, parallel algorithms, internet of things, complex event detection, optimization theory, intelligent transportation systems and social networks to support better public policy through disaster detection, response and rescue. The workshop fostered an environment where emergency management researchers can benefit from the advances in GIS technologies.
Proceeding Downloads
An open-source software system for setting wildfire evacuation triggers
Wildfire evacuation triggers are prominent geographic features used in wildfire evacuation practices to facilitate warning and communication during evacuations. When a fire crosses these features, emergency managers issue evacuation orders for the ...
Evacuation shelter and route selection based on multi-objective optimization approach
Evacuation shelter and route selection are indispensable parts of emergency planning. An efficient plan can effectively evacuate people from a dangerous place to a safer location. Meanwhile, it is crucial to improve risk management. This article ...
Indoor evacuation planning using a limited number of sensors
This paper focuses on indoor evacuation path planning problem where the objective is to find evacuation paths for each evacuee such that the evacuation egress time is minimized. Since paths are dependent on the distribution of evacuees, initial ...
Study on large-scale traffic evacuation simulation with multi-model integration
The management of large-scale traffic evacuation involves various complex post events and response activities in addition to the real-time identification and possible mitigation of the crisis. To capture the numerous and varied decision-making ...
On managing geospatial big-data in emergency management: some perspectives
With the rapid growth of mobile devices and applications, geo-tagged data is becoming increasingly important in emergency management and has become a major workload for big data storage systems. Traditional methods that storing geospatial data in ...
Using nightlight remote sensing imagery and Twitter data to study power outages
Hurricane Sandy made landfall in one of the most populated areas of the United States, and affected almost 8 million people. The event provides a unique opportunity to study power outages because of the data available and the large impact to a densely ...
Semantic analysis on microblog data for emergency response in typhoon Chan-hom
Social media play an important role in emergency response. With Twitter data were widely used in emergency management, this paper attempted to extract valuable information from microblog data to support emergency response. Event-related microblog data ...
Privacy-preserving crowd incident detection: a holistic experimental approach
Detecting dangerous situations is crucial for emergency management. Surveillance systems detect dangerous situations by analyzing crowd dynamics. This paper presents a holistic video-based approach for privacy-preserving crowd density estimation. Our ...
Crowdsourcing based spatial mining of urban emergency events using social media
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 ...
Opinion mining for emergency case risk analysis in spark based distributed system
The 2014 West African Ebola Outbreak rised from Sierra Leone, Guinea, and Liberia at December in 2013 has been reported to cause 21296 cases and 8429 deaths until now. Besides that, Typhoon Haiyan and Typhoon Hagupit are also the serious disaster ...
PTEMS: a novel public transportation emergency management system based on GIS
Nowadays, the public transportation safety situation continues to deteriorate, and malignant incidents occur sometimes. Therefore, there is great need for the improvement of safety levels by the authorities. To this end, we propose PTEMS, a novel public ...
Design of an IoT-GIS emergency management system for public road transport networks
Public transport is an indispensable element of a modern society and is of sustained interest to emergency management authorities worldwide. In this paper, the design of an emergency management system for public road transport networks is presented. The ...
Prioritizing road network connectivity information for disaster response
Information plays an important role in disaster response. In the past, there has been a lack of up-to-date information following major disasters due to the limited means of communication. This situation has changed substantially in recent years. With ...
Online monitoring system for natural gas leakage in cities with sensor network
A natural gas leakage monitoring system for large-scale city areas is developed in this paper. The system consists mobile sensor network, stationary sensor network, and cloud storage platform. The sensor network, i.e., mobile detectors and stationary ...
An ontology-oriented decision support system for emergency management based on information fusion
This paper proposes a novel ontology-oriented decision support system for emergency management based on information fusion. An emergency ontology is first suggested for data and model integration, and then a five-layer framework-based decision support ...
How to integrate open source resource to assess risk in emergency management: a framework and applications
The unconventional emergency, such as massive natural disaster, public health, food safety and social security incident, usually outbreak more suddenly, diffused more quickly, cause more secondary damage and derive more disaster and with fewer omens ...
Validation of astrology through relationship between sun signs using social network data
Astrology, which has always been considered as pseudoscience, are making more and more people believe in it. The validation of astrology has been done by a few scientists before, however, with the emergence of social network, we can get a data set that ...
RALFIE: a life-logging system for reducing potential radiation exposures
After the nuclear power plant accident in Fukushima, a significant amount of radioactive materials were released into the environment. The radiation exposure has brought lots of concerns about environments contamination, as well as economic and social ...
Air quality adjusted routing for cyclists and pedestrians
Air quality adjusted routing can provide health benefits for users and encourage users to use more environmental friendly vehicles. This is particularly true for urban areas with varying zones for different air quality levels. We use PM10 total emission ...
An interactive mapping system incorporating data reliability information
Data quality should be considered in compiling maps in order to reveal reliable information about the spatial variation of a phenomenon. However, creating classes in a choropleth map by maximizing data reliability (i.e. the statistical differences of ...
A personalized GeoSocial app for surviving an earthquake
Earthquakes are sudden, cause huge damage to extensive areas, and may negatively affect the lives of millions of people. Thus, it is crucial to develop a system that can help people survive an earthquake and recover from its aftereffects. In this paper ...
Cited By
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Xue G, Liu S and Gong D Identifying Abnormal Riding Behavior in Urban Rail Transit: A Survey on “In-Out” in the Same Subway Station, IEEE Transactions on Intelligent Transportation Systems, 10.1109/TITS.2020.3032843, 23:4, (3201-3213)
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Aoki S, Sezaki K, Yuan N and Xie X BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories, IEEE Transactions on Big Data, 10.1109/TBDATA.2018.2872532, 7:2, (371-382)
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Fan X, Guo L, Han N, Wang Y, Shi J and Yuan Y (2018). A Deep Learning Approach for Next Location Prediction 2018 IEEE 22nd International Conference on Computer Supported Cooperative Work in Design (CSCWD), 10.1109/CSCWD.2018.8465289, 978-1-5386-1482-2, (69-74)
- Proceedings of the 1st ACM SIGSPATIAL International 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% |