TH2.B2.4
Refining Residents Evacuation Prediction Model: A Data-Driven Approach to Improve Accuracy Based on Objective Evaluation Metrics
Akira Matsuki, Keisuke Ikeda, Kenta Senzaki, Masahiro Tani, NEC Corporation, Japan; Michinori Hatayama, Kyoto University, Japan
Session:
TH2.B2: Societal Impacts: Risk and Disaster Management Oral
Track:
Societal Engagement and Impacts
Location:
Room B2
Presentation Time:
Thursday, 7 August, 11:15 - 11:30
Presentation
Discussion
Resources
No resources available.
Session TH2.B2
TH2.B2.1: DAILY INUNDATION EXTENT FORECASTING FOR THE HKH FROM SENTINEL-1 SAR AND RIVER DISCHARGE DATA
Franz J Meyer, Kas Knicely, Victor Devaux-Chupin, University of Alaska Fairbanks, United States
TH2.B2.2: EARLY WARNING OF TSUNAMIS INTEGRATING ANOMALY DETECTION INFORMATION FROM HFSWR AND GNSS
Menghua Jiang, Yonggang Ji, Ruozhao Qu, Yahui Chen, China University of Petroleum (East China), China; Changjun Yu, Harbin Institute of Technology at Weihai, China
TH2.B2.3: Assessing future flood risks in megacity suburbs under shared socioeconomic pathways (SSPs) scenarios: A case study of Beijing
Mengyuan Jia, Jiaqi Lin, Jiaxing Dai, Jingyi Zhang, Beijing University of Civil Engineering and Architecture, China
TH2.B2.4: Refining Residents Evacuation Prediction Model: A Data-Driven Approach to Improve Accuracy Based on Objective Evaluation Metrics
Akira Matsuki, Keisuke Ikeda, Kenta Senzaki, Masahiro Tani, NEC Corporation, Japan; Michinori Hatayama, Kyoto University, Japan
TH2.B2.5: SAFER: SYSTEM FOR DISASTER ASSESSMENT AND FORECASTING OF EMERGENCY RISKS USING GEO-SPATIAL DATA
Anagha Aher, Sonal Sonarghare, Janhavi Kasar, Aman Dhumal, Vedant Mayekar, A.P. Shah Institute of Technology, India
Resources
No resources available.