Decision Support System and New Technologies

Usuda, Yuichiro

doi:10.1007/978-981-16-0360-0_13

Emerging Technologies for Disaster Resilience

2021

DOI: 10.1007/978-981-16-0360-0_13

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Decision Support System and New Technologies

Yuichiro Usuda

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Early Estimation of Heavy Rain Damage at the Municipal Level Based on Time-Series Analysis of SNS Information

Cui¹,

Shoyama²,

Hanashima³

et al. 2022

JDR

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To carry out natural disaster response, restoration, and reconstruction, it is important to efficiently and quickly assess the damage caused by the natural disaster. The existing evidence demonstrates that when a natural disaster occurs, social networking services (SNS) information is amplified significantly, compared to normal times. Specifically, the damage caused by a natural disaster tends to cover a wide area and have a large scale. Additionally, it may vary considerably depending on the municipality. Thus, this study investigates whether the utilization of this amplified SNS information can offer an effective approach for real-time evaluation and monitoring of the damage caused by a natural disaster in municipal units. To this end, focusing on time-series changes in SNS information, we propose a general-purpose analysis method of SNS information for evaluating the damage caused by a natural disaster in real time in municipal units. Using real-world data twitter data, we investigate the case of Kumamoto Prefecture, which experienced heavy rain in July 2020 and July 2021, to verify the proposed analysis method.

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Early Estimation of Heavy Rain Damage at the Municipal Level Based on Time-Series Analysis of SNS Information

Cui¹,

Shoyama²,

Hanashima³

et al. 2022

JDR

View full text Add to dashboard Cite

show abstract

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Decision Support System and New Technologies

Cited by 1 publication

References 5 publications

Early Estimation of Heavy Rain Damage at the Municipal Level Based on Time-Series Analysis of SNS Information

Early Estimation of Heavy Rain Damage at the Municipal Level Based on Time-Series Analysis of SNS Information

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