Diva Syandriajiさん（工学専攻２年）らの論文が土木学会Intelligence, Informatics and Infrastructure Award（Outstanding Potential Paper Award）を受賞しました．
2025年7月22日
「Estimation of Population Exposure to Flood Risk by Using a Geospatial Information System Overlay of Mobile Spatial Statistic (MSS) Data, Flood Inundation Map, and Land Use Zone（著者：Diva Syandriaji, Fumitaka Kurauchi, Toshiyuki Nakamura and Akiyoshi Takagi）」が，Intelligence, Informatics and Infrastructure Award（Outstanding Potential Paper Award）を受賞しました．
The devastating flood phenomena that hit several cities in Gifu Prefecture, Japan, from 1959 until 1976 remains a potential threat to the communities and properties living around the downstream part of the Nagara River basin. Realizing that the affected population is essential in disaster risk reduction, an accurate and targeted estimation of population exposure is needed to reduce the flood disaster risk. Therefore, this research proposed the use of advanced geospatial technologies, with the integration of MSS data and flood inundation maps, to analyze population exposure to flood risks across different times of day and estimate how many people are exposed to flood in each land use zone of Gifu City. The results by using time-based population exposure from MSS data indicate that population exposure varies with time, land-use zones, and demographic factors, with residential areas particularly at risk during midnight and commercial areas during midday. The study highlights the high exposure of middle-aged and elderly populations, emphasizing the need for targeted disaster mitigation strategies. This novel approach, replacing traditional census data with MSS data, provides a real-time insights on flood disaster which will be beneficial on flood risk management, urban planning, and policy evaluation, especially in regions lacking comprehensive statistical data.
◆関連サイト：
土木学会構造工学委員会AI・データサイエンス論文集編集賞委員会，Intelligence, Informatics and Infrastructure Award for Outstanding Potential Paper（https://committees.jsce.or.jp/struct1002/node/54）
Syandriaji et al. (2025), "Estimation of Population Exposure to Flood Risk by Using a Geospatial Information System Overlay of Mobile Spatial Statistic (MSS) Data, Flood Inundation Map, and Land Use Zone", Intelligence, Informatics and Infrastructure, 6(1), 17-24, 2025 (https://doi.org/10.11532/jsceiiai.6.1_17)
