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Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies
2018
Companion of the The Web Conference 2018 on The Web Conference 2018 - WWW '18
This paper leverages the geo-tagged Tweets posted in the New York City (NYC) in wake of Hurricane Sandy to understand the evacuation behavior of the residents. ...
We analyze the geo-tagged Tweets to understand evacuation and return time and evacuation location patterns of evacuees. ...
The findings in this manuscript reflect the views of the authors and not those of NSF. ...
doi:10.1145/3184558.3191619
dblp:conf/www/KumarU18
fatcat:4rqcu62i6nc5jieyd2zptztmze
Modeling the Influence of Online Social Media Information on Post-Disaster Mobility Decisions
2021
Sustainability
We tested our approach using real world data collected from more than 13 million unique Twitter users during Hurricane Sandy. ...
With the recent increase in natural hazards, the importance of techniques to understand, model and predict the evacuation and returning behavior of affected individuals is rising. ...
Conflicts of Interest: The authors declare that they have no competing financial interest. ...
doi:10.3390/su13095254
fatcat:f6psgnzgq5gchllcbritlyhb5q
Geographic Situational Awareness: Mining Tweets for Disaster Preparedness, Emergency Response, Impact, and Recovery
2015
ISPRS International Journal of Geo-Information
A number of recent studies have suggested that social media data streams can be used to mine actionable data for emergency response and relief operation. ...
for disaster researchers and emergency managers for decades to organize information and streamline priorities and activities during the course of a disaster. ...
Acknowledgement We would like to thank Caitlin McKown for the help and support during this research. Work performed under this project has been funded by the UW-Madison WARF grant # PRJ93XF. ...
doi:10.3390/ijgi4031549
fatcat:jthenqdbfrh4ril2ocynx5kxzm
How Do Cities Flow in an Emergency? Tracing Human Mobility Patterns during a Natural Disaster with Big Data and Geospatial Data Science
2019
Urban Science
This study explores the spatiotemporal patterns of evacuation travels by leveraging users' location information from millions of tweets posted in the hours prior and concurrent to Hurricane Matthew. ...
home after the hurricane passed. (2) Evacuation zone residents produced an unusually large number of tweets outside evacuation zones during the evacuation order period. (3) It took several days for the ...
The funding sponsors had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. ...
doi:10.3390/urbansci3020051
fatcat:m223k5ry7bblbnxdq55plcctxq
Assisting coordination during crisis
2014
Proceedings of the 2014 ACM conference on Web science - WebSci '14
In our study, Twitter 1 messages (tweets) from Hurricane Sandy in 2012 clearly indicate power blackouts, but not their probable implications (e.g. loss of power to hospital life support systems). ...
Accurate interpretation of resource need/supply also depends on the location of a message. ...
Understanding "Nashua" is critical to the utility of this tweet. ...
doi:10.1145/2615569.2615652
dblp:conf/websci/BhattPHSSF14
fatcat:3xy22s3zgfadxpljspuwvwnepe
Analytics and Evolving Landscape of Machine Learning for Emergency Response
[chapter]
2019
Zenodo
Several examples of the tweet related to emergency are discussed to more deeply contemplate [...] ...
In particular, this chapter also focuses on crowdsourcing approaches with machine learning to achieve better understanding and decision support during a disaster, and we discusses the issues on the approaches ...
Acknowledgements The work is funded from the Research Council of Norway (RCN) and the Norwegian Centre for International Cooperation in Education (SiU) grant through INT-PART programme. ...
doi:10.5281/zenodo.5106014
fatcat:ui7kmryflbaljkim4u2ync2dqi
Automated machine learning approaches for emergency response and coordination via social media in the aftermath of a disaster: A review
2021
IEEE Access
Regardless of the kind of disaster event, whether it is a hurricane, a flood, an earthquake or a man-made disaster event like a riot or a terrorist attack, social media platforms like Facebook, Twitter ...
Despite this, there is a scarcity of comprehensive review of all the major research works pertaining to the utilization of machine learning approaches for disaster response using social media posts. ...
emergency coordination, there is a need to summarize the existing automated machine learning to gain a better understanding of various research studies in the area. ...
doi:10.1109/access.2021.3074819
fatcat:2ebym34ewjcgzn7im7gaac7udy
Finding Eyewitness Tweets During Crises
[article]
2014
arXiv
pre-print
Disaster response agencies have started to incorporate social media as a source of fast-breaking information to understand the needs of people affected by the many crises that occur around the world. ...
Towards this, we address three questions: (1) is there a difference between the language of tweets originating within a crisis region and tweets originating outside the region, (2) what are the linguistic ...
Fulton Schools of Engineering Dean's Office, through fellowships to F. Morstatter and N. Lubold. ...
arXiv:1403.1773v1
fatcat:wi6udyfyfrbs5djk4qbmb4dcey
Disentangling the Lexicons of Disaster Response in Twitter
2015
Proceedings of the 24th International Conference on World Wide Web - WWW '15 Companion
We used a novel information-theoretic unsupervised learning tool, CorEx, to extract and characterize highly relevant content used by the public on Twitter during known emergencies, such as fires, explosions ...
, and hurricanes. ...
Understanding the dynamics of risk perception during a crisis is crucial for successful emergency response because ultimately people act on the basis of what they believe to be true. ...
doi:10.1145/2740908.2741728
dblp:conf/www/HodasSHCBC15
fatcat:nttkecjr6ne7fopuadc6tbjaqy
Processing Social Media Messages in Mass Emergency: A Survey
[article]
2015
arXiv
pre-print
We examine the particularities of this setting, and then methodically examine a series of key sub-problems ranging from the detection of events to the creation of actionable and useful summaries. ...
In particular, many social media messages communicated during emergencies convey timely, actionable information. ...
Middleton et al. [2014]), geo-
tagging is not merely a dictionary look-up process because of ambiguities. These ambi-
guities are known as “geo/non-geo” and “geo/geo.” ...
arXiv:1407.7071v3
fatcat:e7mcvae5freddaus7ndolygeti
Empathi: An Ontology for Emergency Managing and Planning About Hazard Crisis
2019
2019 IEEE 13th International Conference on Semantic Computing (ICSC)
In the domain of emergency management during hazard crises, having sufficient situational awareness information is critical. ...
A bold obstacle to capturing, representing and integrating such heterogeneous and diverse information is lack of a proper ontology which properly conceptualizes this domain, aggregates and unifies datasets ...
ACKNOWLEDGMENT We are thankful to responders in providing their unbiased evaluation for ontology quality assessment. ...
doi:10.1109/icosc.2019.8665539
dblp:conf/semco/GaurSGS19
fatcat:r256oxu4qvf3fjmysgkbyu77wy
Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew
2017
PLoS ONE
Researchers who want to replicate this study can use the Twitter API (https://dev.twitter.com/) to collect the tweets. Fig 4. Temporal distribution of evacuation-related tweets. ...
Using Twitter data, this paper examines the spatiotemporal variability in social media response and develops a novel approach to leverage geotagged tweets to assess the evacuation responses of residents ...
In a more focused study on the spatial distribution of Tweets from Hurricane Sandy, Shelton et al. ...
doi:10.1371/journal.pone.0181701
pmid:28753667
pmcid:PMC5533310
fatcat:3zfor4a2uncajl5ltn5iq6h6wi
Microblogging during the European Floods 2013
2015
International Journal of Information Systems for Crisis Response and Management
To ease the analysis of data we suggest a retweet ratio, which is illustrated to be higher with important tweets and may help selecting tweets for mining. ...
However its analysis by emergency services still bears unaddressed challenges and the majority of studies focus on the use of social media in the USA. ...
ACKNOWLEDGEMENTS The research project EmerGent' was funded by a grant of the European Union (FP7 No. 608352). ...
doi:10.4018/ijiscram.2015010102
fatcat:jrw6sdcj2rh7ni5fzwcpwjav5q
Exploring network properties of social media interactions and activities during Hurricane Sandy
2020
Transportation Research Interdisciplinary Perspectives
In this study, we analyze Twitter data to understand information spreading activities of social media users during Hurricane Sandy. ...
We also analyze the association between user activities and characteristics that may influence user behavior to spread information during a crisis. ...
However, the authors are solely responsible for the findings presented in this study. ...
doi:10.1016/j.trip.2020.100143
fatcat:ctyeyh2kuvbsbnra2bgv5wahwy
Development of Social Media Analytics System for Emergency Event Detection and Crisis Management
2021
Computers Materials & Continua
As a proof of concept, a case study on the COVID-19 pandemic on the ...
In case of emergencies, rapid responses are needed to address victims' requests for help. ...
Next, a case study where we apply the proposed methodology on the Twitter data collected during the COVID-19 pandemic for a comprehensive understanding of these real-world devastating crisis events is ...
doi:10.32604/cmc.2021.017371
fatcat:mn52zhpzevb7zpwyixaq4jt3ri
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