Dataset and codes for analyzing causal effects of perceived false alarm ratio on flood protective actions
Published: 6 August 2025| Version 1 | DOI: 10.17632/z5vnvt9wkp.1
Contributors:
Hiraku Matsuda, Hitomu KotaniDescription
Codes for the following paper: Matsuda, H., Kotani, H., & Onishi, M. (2025). Causal effects of perceived false alarm ratio on flood protective actions during heavy rain warnings in Japan: A case study of Tropical Storm Yun-yeung in 2023. Weather, Climate, and Society. doi: 10.1175/WCAS-D-24-0106.1
Files
Steps to reproduce
Execute "main.R" and "main_APPENDIX DCutoff Rule B.R" to format the data, perform analysis, and output the results. Execute "make_graph.R" to output Figure 4 of the paper. See "Readme.txt" for details.
Institutions
- Tokyo Kogyo Daigaku
- Kyoto Daigaku
Categories
Social Sciences, Disaster Response