It is important to collect and spread accurate information quickly during disasters. Therefore, utilizing Twitter at the time of accidents has been gaining attention in recent year. In this paper, we propose a real-time information sharing system during disaster based on the utilization of Twitter. The proposed system consists of two sub-systems, a disaster information tweeting system that automatically attaches user's current geo-location information (address) and the hashtag of the form “#(municipality name) disaster,” and a disaster information mapping system that displays neighboring disaster-related tweets on a map.
Osamu UCHIDA
Tokai University
Masafumi KOSUGI
Tokai University
Gaku ENDO
Tokai University
Takamitsu FUNAYAMA
Tokai University
Keisuke UTSU
Tokai University
Sachi TAJIMA
Tokai University
Makoto TOMITA
Tokai University
Yoshitaka KAJITA
Tokai University
Yoshiro YAMAMOTO
Tokai University
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Osamu UCHIDA, Masafumi KOSUGI, Gaku ENDO, Takamitsu FUNAYAMA, Keisuke UTSU, Sachi TAJIMA, Makoto TOMITA, Yoshitaka KAJITA, Yoshiro YAMAMOTO, "A Real-Time Information Sharing System to Support Self-, Mutual-, and Public-Help in the Aftermath of a Disaster Utilizing Twitter" in IEICE TRANSACTIONS on Fundamentals,
vol. E99-A, no. 8, pp. 1551-1554, August 2016, doi: 10.1587/transfun.E99.A.1551.
Abstract: It is important to collect and spread accurate information quickly during disasters. Therefore, utilizing Twitter at the time of accidents has been gaining attention in recent year. In this paper, we propose a real-time information sharing system during disaster based on the utilization of Twitter. The proposed system consists of two sub-systems, a disaster information tweeting system that automatically attaches user's current geo-location information (address) and the hashtag of the form “#(municipality name) disaster,” and a disaster information mapping system that displays neighboring disaster-related tweets on a map.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E99.A.1551/_p
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@ARTICLE{e99-a_8_1551,
author={Osamu UCHIDA, Masafumi KOSUGI, Gaku ENDO, Takamitsu FUNAYAMA, Keisuke UTSU, Sachi TAJIMA, Makoto TOMITA, Yoshitaka KAJITA, Yoshiro YAMAMOTO, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Real-Time Information Sharing System to Support Self-, Mutual-, and Public-Help in the Aftermath of a Disaster Utilizing Twitter},
year={2016},
volume={E99-A},
number={8},
pages={1551-1554},
abstract={It is important to collect and spread accurate information quickly during disasters. Therefore, utilizing Twitter at the time of accidents has been gaining attention in recent year. In this paper, we propose a real-time information sharing system during disaster based on the utilization of Twitter. The proposed system consists of two sub-systems, a disaster information tweeting system that automatically attaches user's current geo-location information (address) and the hashtag of the form “#(municipality name) disaster,” and a disaster information mapping system that displays neighboring disaster-related tweets on a map.},
keywords={},
doi={10.1587/transfun.E99.A.1551},
ISSN={1745-1337},
month={August},}
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TY - JOUR
TI - A Real-Time Information Sharing System to Support Self-, Mutual-, and Public-Help in the Aftermath of a Disaster Utilizing Twitter
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1551
EP - 1554
AU - Osamu UCHIDA
AU - Masafumi KOSUGI
AU - Gaku ENDO
AU - Takamitsu FUNAYAMA
AU - Keisuke UTSU
AU - Sachi TAJIMA
AU - Makoto TOMITA
AU - Yoshitaka KAJITA
AU - Yoshiro YAMAMOTO
PY - 2016
DO - 10.1587/transfun.E99.A.1551
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E99-A
IS - 8
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - August 2016
AB - It is important to collect and spread accurate information quickly during disasters. Therefore, utilizing Twitter at the time of accidents has been gaining attention in recent year. In this paper, we propose a real-time information sharing system during disaster based on the utilization of Twitter. The proposed system consists of two sub-systems, a disaster information tweeting system that automatically attaches user's current geo-location information (address) and the hashtag of the form “#(municipality name) disaster,” and a disaster information mapping system that displays neighboring disaster-related tweets on a map.
ER -