- 21 Jun 2021
- 17:00 - 19:00
- TU Delft Aula & Online via Livestream
On Monday 21 June 2021, the PhD Defence and Awarding Ceremony of Mr. Neiler Medina Peña from Colombia, will take place. Professor Damir Brdjanovic is his promotor and Dr. Zoran Vojinovic his co-promotor.
The title of his thesis is
DAPTIVE DISASTER RISK ASSESSMENT
COMBINing MULTI-HAZARDS WITH SOCIOECONOMIC vulnerability and DYNAMIC Exposure
The defence will be organized as a digital hybrid event, and will only be open to a limited number of people in the audience.
It can also be viewed online via live stream:
17.00 – 17.15 Presentation
17.30 – 19.00 Public defence & Awarding ceremony
Climate change, combined with the rapid and often unplanned urbanisation trends, is associated with a rising trend in the frequency and severity of disasters triggered by natural hazards. In order to face the impacts of such threats, it is necessary to have an appropriate Disaster Risk Assessment (DRA). Traditional DRA approaches for disaster risk reduction (DRR) have focused mainly on the hazard component of risk, with little attention to the vulnerability and the exposure components. To address this issue, this dissertation’s main objective is to develop and test a disaster risk modelling framework that incorporates socioeconomic vulnerability and the adaptive nature of exposure associated with human behaviour in extreme hydro-meteorological events in the context of SIDS. To achieve the objective, an Adaptive Disaster Risk Assessment (ADRA) framework is proposed. ADRA uses an index-based approach (PeVI) to assess the socioeconomic vulnerability using three components: susceptibility, lack of coping capacities, and lack of adaptation. Furthermore, ADRA explicitly incorporates the exposure component using two approaches; first, a logistic regression model was built using the actual evacuation rates observed during Hurricane Irma, and second, an Agent-based model is used to simulate how households change their exposure levels in relation to different sources of information.