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ID H-DS08
タイトル 和文 Using Population Data to Better Understand Current and Future Risk: Challenges and Opportunities
英文 Using Population Data to Better Understand Current and Future Risk: Challenges and Opportunities
タイトル短縮名 和文 Population Data for Assessing Risk
英文 Population Data for Assessing Risk
代表コンビーナ 氏名 和文 Laurence Paul Hawker
英文 Laurence Paul Hawker
所属 和文 Organization Not Listed
英文 Organization Not Listed
共同コンビーナ 1 氏名 和文 田中 智大
英文 Tomohiro Tanaka
所属 和文 京都大学
英文 Kyoto University
共同コンビーナ 2 氏名 和文 Prakat Modi
英文 Prakat Modi
所属 和文 SIT Research Laboratories, Shibaura Institute of Technology, Japan
英文 SIT Research Laboratories, Shibaura Institute of Technology, Japan
共同コンビーナ 3 氏名 和文 Stephen E Darby
英文 Stephen E Darby
所属 和文 University of Southampton
英文 University of Southampton
発表言語 E
スコープ 和文
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.
英文
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.
発表方法 口頭および(または)ポスターセッション
ジョイントセッション AGU
招待講演 Sayaka Yoshikawa (Nagasaki University)
講演番号 タイトル 発表者
ポスター発表 5月27日 PM3
HDS08-P01 Population Aging Exacerbates Heat Stroke-Related Ambulance Transportations in Japan 郭 強
HDS08-P02 Development of Socioeconomic Scenarios for Climate Change Impacts and Adaptation Research in Japan Sayaka Yoshikawa
HDS08-P03 Improved agent-based intra-regional relocation model considering population and urban dynamics and its application to flood risk assessment in the Kyoto basin 﨑山 賢人