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Utilizing Geo-tagged Tweets to Understand Evacuation Dynamics during Emergencies

Dheeraj Kumar, Satish V. Ukkusuri
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

Takahiro Yabe, P. Suresh C. Rao, Satish V. Ukkusuri
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

Qunying Huang, Yu Xiao
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

Su Yeon Han, Ming-Hsiang Tsou, Elijah Knaap, Sergio Rey, Guofeng Cao
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

Shreyansh P. Bhatt, Hemant Purohit, Andrew Hampton, Valerie Shalin, Amit Sheth, John Flach
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]

Rajendra Akerkar Minsung Hong
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

Lokabhiram Dwarakanath, Amirrudin Kamsin, Rasheed Abubakar Rasheed, Anitha Anandhan, Liyana Shuib
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]

Fred Morstatter, Nichola Lubold, Heather Pon-Barry, Jürgen Pfeffer,, Huan Liu
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

Nathan O. Hodas, Greg Ver Steeg, Joshua Harrison, Satish Chikkagoudar, Eric Bell, Courtney D. Corley
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]

Muhammad Imran, Carlos Castillo, Fernando Diaz, Sarah Vieweg
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

Manas Gaur, Saeedeh Shekarpour, Amelie Gyrard, Amit Sheth
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

Yago Martín, Zhenlong Li, Susan L. Cutter, Satish Ukkusuri
2017 PLoS ONE  
Researchers who want to replicate this study can use the Twitter API ( 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

Christian Reuter, Julian Schröter
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

Arif Mohaimin Sadri, Samiul Hasan, Satish V. Ukkusuri, Manuel Cebrian
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

Shaheen Khatoon, Majed A. Alshamari, Amna Asif, Md Maruf Hasan, Sherif Abdou, Khaled Mostafa Elsayed, Mohsen Rashwan
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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