TY - GEN
T1 - Enhancing resilience to disasters using social media
AU - Chaniotakis, Emmanouil
AU - Antoniou, Constantinos
AU - Pereira, Francisco C.
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/8/8
Y1 - 2017/8/8
N2 - During the last decade, Social Media (SM) have emerged as a prominent trend in social communication, with online platforms such as Facebook and Twitter to conquer the internet space with millions of visitors per day. SM usage generates an astonishing amount of information, which could be used for scarcely experienced situations, such as mass convergence and emergency events. This study presents a preliminary exploratory analysis on examining the capacity of Social Media to extract information on individuals choices during evacuation. We collect tweets from the evacuation in Oroville, California USA due to danger of flood and the evacuation. The data is used for the creation of a user sample which allows the collection of historical data The historical data is compared with the data collected during and after the evacuation. The goal of this comparison is the extraction of potential information related to the evacuation.
AB - During the last decade, Social Media (SM) have emerged as a prominent trend in social communication, with online platforms such as Facebook and Twitter to conquer the internet space with millions of visitors per day. SM usage generates an astonishing amount of information, which could be used for scarcely experienced situations, such as mass convergence and emergency events. This study presents a preliminary exploratory analysis on examining the capacity of Social Media to extract information on individuals choices during evacuation. We collect tweets from the evacuation in Oroville, California USA due to danger of flood and the evacuation. The data is used for the creation of a user sample which allows the collection of historical data The historical data is compared with the data collected during and after the evacuation. The goal of this comparison is the extraction of potential information related to the evacuation.
UR - http://www.scopus.com/inward/record.url?scp=85030224467&partnerID=8YFLogxK
U2 - 10.1109/MTITS.2017.8005602
DO - 10.1109/MTITS.2017.8005602
M3 - Conference contribution
AN - SCOPUS:85030224467
T3 - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
SP - 699
EP - 703
BT - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2017
Y2 - 26 June 2017 through 28 June 2017
ER -