English

地球人間圏科学 (H)
セッション小記号防災地球科学 (DS)
セッション IDH-DS08
タイトル Using Population Data to Better Understand Current and Future Risk: Challenges and Opportunities
タイトル短縮名 Population Data for Assessing Risk
開催日時 口頭セッション 5/27(火) PM2
現地ポスター
コアタイム		 5/27(火) PM3
代表コンビーナ 氏名 Laurence Paul Hawker
所属 Organization Not Listed
共同コンビーナ１ 氏名 田中 智大
所属 京都大学
共同コンビーナ２ 氏名 Prakat Modi
所属 SIT Research Laboratories, Shibaura Institute of Technology, Japan
共同コンビーナ３ 氏名 Stephen E Darby
所属 University of Southampton
セッション言語 E
スコープ To assess risk from natural hazards and other emerging challenges, it is essential to integrate population data with hazard information. As global populations continue to grow and become increasingly urbanized, it is essential to not only understand where people are located now, but also anticipate where they will be in the future. Access to accurate, detailed population and socio-economic data such as counts, age and gender breakdowns, and information on buildings and assets is fundamental for assessing risk exposure and guiding disaster risk reduction. This session invites contributions that use population and socio-economic data to explore risk in the past, present and future.. We seek studies that create new datasets or evaluate existing data to enhance risk understanding. By fostering a dialogue between data producers and users, this session will address the challenges and potential of population data for risk assessment and resilience planning. We invite researchers working in various geographic and spatial contexts to present their work on these themes: Evaluating Population Data Suitability for Risk Assessment: Examining how well current datasets quantify populations at risk from hazards. Innovative Population Data Generation: Introducing novel methods for creating population data, including data disaggregation and uncertainty handling. New and Emerging Population Datasets: Sharing datasets that enhance risk analysis. Collaborative Population Estimates: Case studies of data co-development with policymakers or the public to produce actionable population insights. Challenges and Opportunities in Projecting Risk: Discussing obstacles and advancements in using population data to forecast risk under changing social and environmental conditions. This session will stimulate discussions on advancing the use of population data to improve risk understanding and support resilience-building strategies.
セッション形式 口頭およびポスターセッション
共催情報 学協会 水文・水資源学会
ジョイント AGU
団体会員以外の組織との共催 -
国際連携団体 -