How Users of a Smartphone Weather Application Are Influenced by Animated Announcements Conveying Rainfall Intensity and Electronic Gifts Promoting Rain Evacuation

Author:

Nakajima Hiroko,Shimazaki Kan,Ishigaki Yang,Miyajima Akiko,Kuriyama Akira,Iwanami Koyuru,Mitsukura Yasue, , , , , ,

Abstract

In this study, we assumed that animated announcements that conveyed rainfall intensity of localized heavy rain and the distribution of electronic gifts to encourage rain evacuation would promote evacuation actions. If evacuation actions could be promoted through these methods, then the transmission of weather information could be improved. Therefore, we modified the features of a weather information application for smartphones, which was already widely used, and conducted a demonstrative experiment with application users who agreed to participate in order to check the validity. We analyzed users’ behaviors by transmitting information regarding the predicted start time of rain and recording the Global Positioning System coordinates of the users’ smartphones. In addition, a questionnaire survey was administered to the users after the experiment to collect data on their conception of rainfall intensity. The participants were also interviewed. The results of the experiment showed a significant difference in user conception of rainfall intensity depending on whether they had viewed the animation. However, a behavior analysis based on location data showed no statistical bias in the relationship between the animation and rain evacuation behavior.

Publisher

Fuji Technology Press Ltd.

Subject

Engineering (miscellaneous),Safety, Risk, Reliability and Quality

Reference31 articles.

1. Japan Meteorological Agency, “Climate Change Monitoring Report 2017,” pp. 39, 2017 (in Japanese).

2. Japan Meteorological Agency, “Result of accuracy verification of weather forecast,” 2017, http://www.data.jma.go.jp/fcd/yoho/kensho/yohohyoka_top.html (in Japanese) [accessed February 26, 2018]

3. K. Iwanami, K. Hirano, and S. Shimizu, “Statistical Validation of the Predicted Amount and Start Time of Heavy Rainfall in 2015 Based on the VIL Nowcast Method,” J. Disaster Res., Vol.14, No.2, pp. 248-259, 2019.

4. Ministry of Land, Infrastructure, Transport and Tourism, “Climate change adaptation measures in the field of water disasters (Interim report) 2015,” pp. 29, 2015 (in Japanese).

5. Ministry of Internal Affairs and Communications, “Communications Usage Trend Survey 2017,” 2017, http://www.soumu.go.jp/johotsusintokei/statistics/data/180525_1.pdf (in Japanese) [accessed March 1, 2019].

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