I am a Ph.D. Candidate and Research Associates at the Faculty of Spatial Planning, Technical University Dortmund. My research topic is Assessment of Climate-related Disaster Risk Resilience of Urban Public Health Facilities and Services: Interaction of Climate-related Disaster Risks and Urban Development in the Future. I have been working mainly on environmental and climate change policy and
planning at national and local levels (mitigation, adaptation, finance, and capacity building).
climate change policy (mitigation, adaptation, and finance)
climate-related disaster risk assessment and resilience planning
Urban health facilities and services system is considered as critical infrastructure that needed to be safe, accessible, and be able to provide services to the citizen according to standards in any circumstances. However, urban area where projected in hosting about 66% of world population in 2050 (UN DESA,2014), could potentially put the system more expose to climate-related disaster risks which seems to be worsen in the near and far future. Plus, the fact that, the study on the interrelationship of the future urban development and climate change is limited as well as specific but comprehensive indicators for resilience assessment. The study aims to assess climate-related disaster risks resilience of Khon Kane’s urban health facilities and services system by giving parallel focuses on interaction both future urban socio-economic development and changing climate during 2021 – 2036 based on set of resilience indicators developed in the aspect of critical system operation and contribution of city-wide spatial planning. Hence, the interaction of urban development and climate-related risks are analyzing through qualitative and quantitative forecasting approaches based on the analysis of policy documents and climate downscaling. Bandwidth of climate-related disaster risk is informed to key stakeholders in order to enable them to define the future scenarios and resilience indicators. Scenario assessment is conducted by weight aggregation approach against the set of resilience indicators. Back casting approach is applied to determines key steps of how to bridge gaps of existing capacity to the achievement of preferred resilient scenario, therefore, spatial planning supportive measures are designed and prioritized through Multi-criteria analysis (MCA). The analytical results of the preferred resilient scenario and its supportive measures are presented altogether with climate resilience planning framework as policy recommendations in the form of roadmap and suggestions for developing a climate risk resilience guideline /standard for public health facility and services.