Twitter-Based Safety Confirmation System for Disaster Situations

Keisuke Utsu, Mariko Abe, Shuji Nishikawa and Osamu Uchida
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Keisuke Utsu: Department of Communication and Network Engineering, School of Information and Telecommunication Engineering, Tokai University, Minato City, Tokyo 108-8619, Japan
Mariko Abe: Department of Communication and Network Engineering, School of Information and Telecommunication Engineering, Tokai University, Minato City, Tokyo 108-8619, Japan
Shuji Nishikawa: Course of Information and Telecommunication Engineering, Graduate School of Information and Telecommunication Engineering, Tokai University, Minato City, Tokyo 108-8619, Japan
Osamu Uchida: Department of Human and Information Science, School of Information Science and Technology, Tokai University, Hiratsuka City, Kanagawa 259-1292, Japan

Future Internet, 2020, vol. 12, issue 1, 1-16

Abstract: In the aftermath of disastrous events in Japan, safety information and rescue requests, as well as emergency alerts and damage situations, have been shared on Twitter. However, even victims who are familiar with smartphones or similar devices and social media cannot easily share detailed information, such as the coordinates or address of their current location, which are essential components of safety information and rescue requests. Moreover, local governments and rescue experts have difficulty in gathering such tweets from Twitter. In this paper, we propose a novel system to enable the victims to share their safety information, make rescue requests, and enable quick information gathering for decision making by local government staff or rescue experts. The proposed system is a Twitter-based safety confirmation system named T-@npi. Using the proposed application, the users can easily submit their safety information and send rescue requests on Twitter. The users who want to confirm the safety information can check it quickly on Twitter or via this system. Furthermore, the registered safety information is displayed on an online map to support rescue and assistance activities by local governments and rescue experts.

Keywords: safety confirmation; disaster; Twitter; social media (search for similar items in EconPapers)
JEL-codes: O3 (search for similar items in EconPapers)
Date: 2020
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