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EM-GIS '17: Proceedings of the 3rd ACM SIGSPATIAL International Workshop on the Use of GIS in Emergency Management
ACM2017 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems Redondo Beach CA USA November 7 - 10, 2017
ISBN:
978-1-4503-5493-6
Published:
07 November 2017
Sponsors:
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Abstract

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research-article
A Spatial Point Pattern Analysis of the 2003 SARS Epidemic in Beijing
Article No.: 1, Pages 1–8https://doi.org/10.1145/3152465.3152466

Beijing was the most prevalent city of SARS in China in 2003. The study on the spatial distribution and clustering characteristics is helpful to deeply understand the epidemic of SARS in Beijing. In this paper, the home addresses of SARS patients ...

research-article
Study on the location of building evacuation indicators based on eye tracking
Article No.: 2, Pages 1–5https://doi.org/10.1145/3152465.3152467

Evacuation indicator is an important factor affecting evacuation efficiency during emergency evacuation. In order to study the relationship between the distribution of human's points of regard and evacuation indicators during building evacuation, this ...

research-article
Social Media Discourse in Disaster Situations: A Study of the Deadly July 21, 2012 Beijing Rainstorm
Article No.: 3, Pages 1–7https://doi.org/10.1145/3152465.3152468

The July 21, 2012 Beijing rainstorm was a devastating catastrophe that caused 79 deaths, raising a great deal of attention all over the world. This research aims to explore emotions, attitudes, and views of citizens during the period surrounding this ...

research-article
The Modeling of WeChat Propagation Network Based on Geographic Information
Article No.: 4, Pages 1–7https://doi.org/10.1145/3152465.3152469

WeChat becomes the China's most widely used online social media application because of its convenience and simplicity. This paper is based on the records of HTML5 web pages that spread in WeChat. The propagation network G is constructed with these ...

research-article
GIS Based Dynamic Modeling of Fire Spread with Heterogeneous Cellular Automation Model and Standardized Emergency Management Protocol
Article No.: 5, Pages 1–7https://doi.org/10.1145/3152465.3152470

This paper presents a GIS based dynamic model of fire spread using heterogeneous cellular automation simulation, given a set of stochastic ignition points and initial environmental settings. Modeling forests and concrete buildings in different types of ...

research-article
Optimal route of emergency resource scheduling based on GIS
Article No.: 6, Pages 1–5https://doi.org/10.1145/3152465.3152471

Rapid emergency resource supply is one of the most issue in effective emergency response and management for crisis and disasters. To support the reasonable emergency resource supply under emergency conditions, emergency material scheduling should take ...

research-article
Case Database Construction and Temporal-spatial Analysis of Mass Incidents in China Based on GIS
Article No.: 7, Pages 1–4https://doi.org/10.1145/3152465.3152472

As one of the important research areas of public safety and sociology, the study of mass incidents is inseparable from the support of a large number of real cases data. However, there is a lack of available and reliable mass incidents databases in ...

research-article
Spatial Temporal Data Visualization In Emergency Management: A view from data-driven decision
Article No.: 8, Pages 1–7https://doi.org/10.1145/3152465.3152473

Recent years, extreme events caused a great loss of human society. Emergency management is playing a more and more important role in handling disaster events. With the raising of data-intensive decision making, how to visualize large, multi-dimension ...

research-article
Open Access
Finding Spatiotemporal Co-occurrence Patterns of Heterogeneous Events for Prediction
Article No.: 9, Pages 1–8https://doi.org/10.1145/3152465.3152475

Advances of IoT facilitates leverage of heterogeneous sensing data over the Internet, such as remote sensing data, traffic data and SNS data. Integrated analysis of IoT data is crucial part for urban emergency management in smart cities in order to ...

research-article
Machine Learning Methods for Driving Risk Prediction
Article No.: 10, Pages 1–6https://doi.org/10.1145/3152465.3152476

The development of technology makes the personalized analysis of driving behavior possible. A variety of attributes have been added to driving behavior analysis. Through in-depth analysis of driving behavior data, this paper uses machine learning ...

short-paper
Experimental Study on Driving Behaviour
Article No.: 11, Pages 1–4https://doi.org/10.1145/3152465.3152477

Driving1 behaviour diversity is one of the key issues in related studies. In recent years, influence of beverage type to human behaviour has got more and more research attention. How beverage type influence driving behaviour is a new research topic. In ...

research-article
Topology Vulnerability Analysis of several Urban Metro Networks
Article No.: 12, Pages 1–4https://doi.org/10.1145/3152465.3152478

In modern cities, urban metro systems gradually become an important transportation tool. The failure of metro may influence citizens' travel and cause economic losses. It is a focal problem that assessing the vulnerability of metro networks at home and ...

research-article
The GIS-Based Approach for Optimal Design of Air Quality Monitoring Network for Management of Chemical Clusters
Article No.: 13, Pages 1–8https://doi.org/10.1145/3152465.3152479

An industrial district with chemical plants producing inside poses a great threat to the surrounding atmospheric environment and human health. Therefore, designing a proper and available air quality monitoring network (AQMN) is essential for assessing ...

research-article
Stream Geo-location Data Processing for Detecting Rescuers in a Large-scale Disaster
Article No.: 14, Pages 1–8https://doi.org/10.1145/3152465.3154400

In a large-scale disaster, it is important for rescue workers to quickly grasp the disaster situation that changes from moment to moment on rescue activities in the field. In this study, we focused on large-scale stream geo-location data sequentially ...

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Acceptance Rates

EM-GIS '17 Paper Acceptance Rate 14 of 28 submissions, 50%;
Overall Acceptance Rate 30 of 54 submissions, 56%
YearSubmittedAcceptedRate
EM-GIS '17281450%
EM-GIS '16261662%
Overall543056%