2025年5月27日(火) 17:15 〜 19:15 ポスター会場 (幕張メッセ国際展示場 7・8ホール)

コンビーナ:Hawker Laurence Paul(Organization Not Listed)、田中 智大(京都大学)、Modi Prakat(SIT Research Laboratories, Shibaura Institute of Technology, Japan)、Darby Stephen E(University of Southampton)

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.